完善了美股和A股的报告生成格式

DOC/implementation_plan.md

@@ -1,7 +1,7 @@
 # 实施计划：财务数据获取与分析系统 (V3.0) - Refactored
 
 ## 1. 目标描述
-开发一个可扩展的后端工具，通过策略模式（Strategy Pattern）支持多市场（当前为中国A股、美股）的财务数据分析。工具能够为每个市场定制数据获取、分析和报告生成的全过程，同时保持核心流程的统一和代码的清晰。
+开发一个可扩展的后端工具，通过策略模式（Strategy Pattern）支持多市场（当前为中国A股、美股、港股）的财务数据分析。工具能够为每个市场定制数据获取、分析和报告生成的全过程，同时保持核心流程的统一和代码的清晰。
 
 ## 2. 核心架构：策略模式
 系统采用策略模式，将每个市场的完整业务流程（“获取-存储-分析-报告”）封装在独立的策略类中。`main.py` 作为上下文，根据用户指定的市场，选择并执行相应的策略。
@@ -9,6 +9,7 @@
 - **基础策略 (Base Strategy)**: 定义在 `src/strategies/base_strategy.py`，提供了一个所有具体策略都必须遵循的通用接口，如 `execute()` 方法，该方法依次调用 `fetch_data()`、`analyze_data()` 和 `generate_report()`。
 - **中国市场策略 (CN_Strategy)**: `src/strategies/cn_strategy.py`，封装了针对A股的完整处理流程。
 - **美国市场策略 (US_Strategy)**: `src/strategies/us_strategy.py`，封装了针对美股的完整处理流程。
+- **香港市场策略 (HK_Strategy)**: `src/strategies/hk_strategy.py`，封装了针对港股的完整处理流程。
 
 ## 3. 核心执行流程 (通过策略)
 
@@ -16,7 +17,7 @@
 - **目的**: 准备环境并根据市场选择合适的策略。
 - **动作**:
     - 加载 `.env` 文件中的 `TUSHARE_TOKEN` 和 `ALPHA_VANTAGE_KEY`。
-    - `main.py` 根据用户输入的 `market` 参数，通过一个简单的工厂函数 `get_strategy`，实例化 `CN_Strategy` 或 `US_Strategy`。
+    - `main.py` 根据用户输入的 `market` 参数，通过一个简单的工厂函数 `get_strategy`，实例化 `CN_Strategy`、`US_Strategy` 或 `HK_Strategy`。
 
 ### 步骤 2: 策略执行流程
 `main.py` 调用所选策略实例的 `execute` 方法，触发完整的分析流程。根据市场选择，执行路径如下：
@@ -27,7 +28,7 @@
 选择中国市场时，`CN_Strategy` 的 `execute` 方法会按顺序执行以下操作：
 
 1.  **数据获取 (`fetch_data`)**:
-    - **执行**: `CN_Strategy` 实例化并调用 `TushareFetcher` 来获取数据。
+    - **执行**: `CN_Strategy` 实例化并调用 `CnFetcher` 来获取数据。
     - **API调用序列 (共7次)**:
         1. **获取利润表**: 调用 Tushare 的 `income` 接口 (1次)。
         2. **获取资产负债表**: 调用 Tushare 的 `balancesheet` 接口 (1次)。
@@ -37,7 +38,7 @@
         6. **获取公司信息 (员工数)**: 调用 Tushare 的 `stock_company` 接口 (1次)。
         7. **获取股东信息**: 调用 Tushare 的 `stk_holdernumber` 接口 (1次)。
     - **数据存储 (两阶段缓存)**:
-        - **1. 原始数据缓存**: `TushareFetcher` 将API返回的原始数据保存为 `raw_*.csv`。
+        - **1. 原始数据缓存**: `CnFetcher` 将API返回的原始数据保存为 `raw_*.csv`。
         - **2. 处理后数据缓存**: `CN_Strategy` 将初步处理过的数据保存为 `income_statement.csv` 等文件。
 
 2.  **数据分析 (`analyze_data`)**:
@@ -54,18 +55,49 @@
 
 ---
 
-#### **场景 B: 美国市场 (market='US')**
+#### **场景 B: 香港市场 (market='HK')**
+选择香港市场时，`HK_Strategy` 的 `execute` 方法会按顺序执行以下操作：
+
+1.  **数据获取 (`fetch_data`)**:
+    - **执行**: `HK_Strategy` 实例化并调用 `HkFetcher` 来获取数据。
+    - **API调用序列 (共7次)**:
+        1. **获取利润表**: 调用 Tushare 的 `hk_income` 接口 (1次)。
+        2. **获取资产负债表**: 调用 Tushare 的 `hk_balancesheet` 接口 (1次)。
+        3. **获取现金流量表**: 调用 Tushare 的 `hk_cashflow` 接口 (1次)。
+        4. **获取市场指标 (PE/PB等)**: 调用 Tushare 的 `daily_basic` 接口 (1次)。
+        5. **获取基本信息 (名称/日期)**: 调用 Tushare 的 `stock_basic` 接口 (1次)。
+        6. **获取公司信息 (员工数)**: 调用 Tushare 的 `stock_company` 接口 (1次)。
+        7. **获取股东信息**: 调用 Tushare 的 `stk_holdernumber` 接口 (1次)。
+    - **数据存储 (两阶段缓存)**:
+        - **1. 原始数据缓存**: `HkFetcher` 将API返回的原始数据保存为 `raw_*.csv`。
+        - **2. 处理后数据缓存**: `HK_Strategy` 将初步处理过的数据保存为 `income_statement.csv` 等文件。
+
+2.  **数据分析 (`analyze_data`)**:
+    - **执行**: `HK_Strategy` 实例化 `HK_Analyzer`。
+    - **动作**: `HK_Analyzer` 对获取的数据进行合并、列名映射和港股特定的财务指标计算。
+
+3.  **报告生成 (`generate_report`)**:
+    - **调用**: `HK_Strategy` 调用 `HK_ReportGenerator` 实例的 `generate_report` 方法，传递分析数据和输出路径。
+    - **核心动作**: `HK_ReportGenerator` 全权负责报告的生成与保存：
+        1. **生成Markdown**: 调用继承自 `BaseReporter` 的 `_generate_markdown_content` 方法创建报告内容。
+        2. **保存Markdown**: 将内容写入 `data/HK/{symbol}/report.md`。
+        3. **生成HTML**: 使用 `markdown` 库将内容转换为 HTML，并嵌入预设的 CSS 样式。
+        4. **保存HTML**: 将最终的 HTML 内容写入 `data/HK/{symbol}/report.html`。
+
+---
+
+#### **场景 C: 美国市场 (market='US')**
 选择美国市场时，`US_Strategy` 的 `execute` 方法会按顺序执行以下操作：
 
 1.  **数据获取 (`fetch_data`)**:
-    - **执行**: `US_Strategy` 实例化并调用 `AlphaVantageFetcher`。
+    - **执行**: `US_Strategy` 实例化并调用 `UsFetcher`。
     - **API调用序列 (共4次, 每次调用前有15秒延迟)**:
         1. **获取利润表**: 调用 Alpha Vantage 的 `INCOME_STATEMENT` 功能 (1次)。
         2. **获取资产负债表**: 调用 Alpha Vantage 的 `BALANCE_SHEET` 功能 (1次)。
         3. **获取现金流量表**: 调用 Alpha Vantage 的 `CASH_FLOW` 功能 (1次)。
         4. **获取公司概览**: 调用 Alpha Vantage 的 `OVERVIEW` 功能 (1次)，用于计算市值、PE、PB等核心指标。
     - **数据存储 (两阶段缓存)**:
-        - **1. 原始数据缓存**: `AlphaVantageFetcher` 将API返回的原始数据保存为 `raw_*.csv`。
+        - **1. 原始数据缓存**: `UsFetcher` 将API返回的原始数据保存为 `raw_*.csv`。
         - **2. 处理后数据缓存**: `US_Strategy` 将初步处理过的数据保存为 `income_statement.csv` 等文件。
 
 2.  **数据分析 (`analyze_data`)**:
@@ -84,5 +116,6 @@
 - **核心逻辑不变**: 由于核心的数据获取和指标计算逻辑是从旧代码平移而来，其准确性得以保留。
 - **结构验证**: 
     1. **中国股票**: 运行 `python main.py CN 600519.SH`。检查程序是否无报错执行完毕，并生成 `data/CN/600519.SH/report.md` 文件。
-    2. **美国股票**: 运行 `python main.py US AAPL`。检查程序是否无报错执行完毕，并生成 `data/US/AAPL/report.md` 文件。
-    3. **报告内容**: 打开生成的 `.md` 文件，确认内容与旧版报告基本一致，数据完整，格式正确。
+    2. **香港股票**: 运行 `python main.py HK 00700.HK`。检查程序是否无报错执行完毕，并生成 `data/HK/00700.HK/report.md` 文件。
+    3. **美国股票**: 运行 `python main.py US AAPL`。检查程序是否无报错执行完毕，并生成 `data/US/AAPL/report.md` 文件。
+    4. **报告内容**: 打开生成的 `.md` 文件，确认内容与旧版报告基本一致，数据完整，格式正确。

data/CN/002478.SZ/historical_metrics.csv

@@ -0,0 +1,21 @@
+date_str,Price,PE,PB,MarketCap,Shareholders
+20250930,5.71,8.1102,0.8926,5143603562.0,25361.0
+20241231,5.29,6.0893,0.8794,4768121546.0,27145.0
+20240930,5.45,6.2736,0.9221,4912402343.0,26196.0
+20231231,5.45,10.4296,0.9712,4912663943.0,26198.0
+20221231,5.63,37.0699,1.1281,5035181531.0,26507.0
+20211231,4.33,32.211,0.9454,3982866870.0,24046.0
+20201231,4.39,7.0104,0.921,4214368739.0,26365.0
+20191231,5.92,11.8334,1.3,5683157844.0,25327.0
+20181231,4.6,30.7357,1.1862,4415967243.0,26586.0
+20171231,5.45,49.0564,1.4594,5381294897.0,29447.0
+20161231,13.16,25.5521,1.7676,5265316000.0,25030.0
+20151231,14.25,23.1857,1.9538,5701425000.0,28650.0
+20141231,11.2,19.7403,1.602,4481120000.0,22137.0
+20131231,10.2,19.7711,1.5487,4081020000.0,22810.0
+20121231,10.32,17.9768,1.694,4129032000.0,25350.0
+20111231,11.2,24.4827,1.9485,4481120000.0,27092.0
+20101231,17.57,36.4645,3.2985,7029757000.0,29819.0
+20091231,,,,,
+20081231,,,,,
+20071231,,,,,

data/CN/002478.SZ/raw_balance_sheet.csv

@@ -0,0 +1,99 @@
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+002478.SZ,20200429,20200429,20200331,1,1,1,959992879.0,1377686043.52,1814568323.63,383793887.69,12619785.36,1363806498.08,,220493170.15,717289765.98,,63008381.85,,,1039741550.56,,,,,,,,,57301611.71,3488675282.62,,,80268815.43,,,,,,358801597.44,,,,,246825720.54,,413050203.65,5264838.96,14186196.75,,299702159.17,3302617522.71,,,,,,,,,,,,,,,,,6791292805.33,48000000.0,110000000.0,,,,,896622684.64,557956122.56,,,,18956690.99,52580943.46,159300.86,,,,,,,,,,14480198.36,7688508.64,1879272416.52,,,,223067.23,26090042.15,,,75310615.48,,,,,,,,,,,,,,,,,1954583032.0,23762132.95,,,,304767816.9,4531941956.43,4836709773.33,6791292805.33,,7043170.18,,,,,,,,,,,,92759314.26,937782936.13,1454578807.2,14254581.52,1874994612.77,358801597.44,128227953.61,997506.1,,,1
+002478.SZ,20200429,20200429,20191231,1,1,4,959992879.0,1377686043.52,1720299616.48,383793887.69,12619785.36,1622085667.77,,274463057.44,613359039.28,15740621.95,46122399.9,,,961483466.99,,,,,,,,,55113217.64,3602958549.32,,,,,,,,1943960862.87,301502472.07,,,,,281426777.86,,462839128.78,24833675.63,14929348.96,,200239855.47,3241082593.64,,,,,,,,,,,,,,,,,6844041142.96,48000000.0,138000000.0,,,,,923511582.11,371158406.18,98137404.24,,,59157960.52,64854908.72,159300.86,,99810402.34,,,,,,,,14480198.36,3280006.57,1772550169.9,,4923424.37,,223067.23,36178047.46,1854133.35,,91178672.41,,,,,,,,,,,,,,,,,1863728842.31,,,,,517427879.76,4462884420.89,4980312300.65,6844041142.96,,8492208.84,,,,,,,,,,,,,887822096.72,1294669988.29,15740621.95,1943960862.87,301502472.07,99969703.2,4923424.37,,,1
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data/CN/002478.SZ/raw_cash_flow.csv

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data/CN/002478.SZ/raw_dividends_raw.csv

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data/CN/002478.SZ/raw_historical_metrics_shareholder_number.csv

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data/CN/002478.SZ/raw_income_statement.csv

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data/CN/002478.SZ/raw_market_metrics_daily_basic.csv

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+ts_code,trade_date,close,turnover_rate,turnover_rate_f,volume_ratio,pe,pe_ttm,pb,ps,ps_ttm,dv_ratio,dv_ttm,total_share,float_share,free_share,total_mv,circ_mv
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data/CN/002478.SZ/raw_market_metrics_shareholder_number.csv

@@ -1,2 +1,2 @@
 ts_code,ann_date,end_date,holder_num
-300750.SZ,20251021,20250930,227474
+002478.SZ,20251025,20250930,22984

data/CN/002478.SZ/raw_market_metrics_stock_basic.csv

@@ -0,0 +1,2 @@
+name,list_date
+常宝股份,20100921

data/CN/002478.SZ/raw_repurchases.csv

@@ -0,0 +1,116 @@
+ts_code,ann_date,end_date,proc,exp_date,vol,amount,high_limit,low_limit
+002478.SZ,20251021,20230428,完成,,6562000.0,33265940.28,5.7,3.98
+002478.SZ,20250930,20250926,完成,,180000.0,595800.0,3.31,3.31
+002478.SZ,20250909,,股东大会通过,,,595800.0,3.31,3.31
+002478.SZ,20250822,20230428,完成,,6562000.0,33265940.28,5.7,3.98
+002478.SZ,20250822,,预案,,,595800.0,3.31,3.31
+002478.SZ,20250724,20250723,完成,,6754800.0,32500681.93,5.42,4.35
+002478.SZ,20250516,20250514,完成,,360000.0,1270800.0,3.53,3.53
+002478.SZ,20250507,20250430,实施,,6754800.0,32500681.93,5.42,4.35
+002478.SZ,20250424,,股东大会通过,,,1270800.0,3.53,3.53
+002478.SZ,20250328,,预案,,,1270800.0,3.53,3.53
+002478.SZ,20250304,20250228,实施,,6666000.0,32058007.27,5.42,4.35
+002478.SZ,20250127,20250127,实施,,6446000.0,30944646.37,5.42,4.35
+002478.SZ,20250103,20241231,实施,,6266000.0,30056646.27,5.42,4.35
+002478.SZ,20241203,20241130,实施,,6070900.0,29030685.0,5.42,4.35
+002478.SZ,20241102,20241031,实施,,5970900.0,28500965.58,5.29,4.35
+002478.SZ,20241011,20241009,完成,,12000.0,19920.0,1.66,1.66
+002478.SZ,20241009,20240930,实施,,4880900.0,22923877.63,5.18,4.35
+002478.SZ,20240910,,股东大会通过,,,19920.0,1.66,1.66
+002478.SZ,20240903,20240831,实施,,2925900.0,14047830.8,4.99,4.52
+002478.SZ,20240823,,预案,,,19920.0,1.66,1.66
+002478.SZ,20240803,20240802,实施,,280000.0,1393526.03,4.99,4.91
+002478.SZ,20240725,,预案,,,60000000.0,6.5,
+002478.SZ,20240305,20240301,完成,,48000.0,93120.0,1.94,1.94
+002478.SZ,20230913,,股东大会通过,,,93120.0,1.94,1.94
+002478.SZ,20230913,,股东大会通过,,,93120.0,1.94,1.94
+002478.SZ,20230825,,预案,,,93120.0,1.94,1.94
+002478.SZ,20230825,,预案,,,93120.0,1.94,1.94
+002478.SZ,20230508,20230505,完成,,192000.0,407040.0,2.12,2.12
+002478.SZ,20230508,20230505,完成,,192000.0,407040.0,2.12,2.12
+002478.SZ,20230505,20230428,完成,,6562000.0,33265940.28,5.7,3.98
+002478.SZ,20230505,20230428,完成,,6562000.0,33265940.28,5.7,3.98
+002478.SZ,20230413,,股东大会通过,,,407040.0,2.12,2.12
+002478.SZ,20230413,,股东大会通过,,,407040.0,2.12,2.12
+002478.SZ,20230322,,预案,,,407040.0,2.12,2.12
+002478.SZ,20230322,,预案,,,407040.0,2.12,2.12
+002478.SZ,20230307,20230303,完成,,52479551.0,7.0,,
+002478.SZ,20230104,20221231,实施,,6032000.0,30273928.77,5.7,3.98
+002478.SZ,20230104,20221231,实施,,6032000.0,30273928.77,5.7,3.98
+002478.SZ,20220910,20220908,完成,,48369372.0,6.0,,
+002478.SZ,20220902,20220831,实施,,3330900.0,14998031.73,4.99,3.98
+002478.SZ,20220902,20220831,实施,,3330900.0,14998031.73,4.99,3.98
+002478.SZ,20220802,20220731,实施,,2410900.0,10444135.06,4.99,3.98
+002478.SZ,20220802,20220731,实施,,2410900.0,10444135.06,4.99,3.98
+002478.SZ,20220701,20220630,实施,,2049900.0,8650713.31,4.58,3.98
+002478.SZ,20220701,20220630,实施,,2049900.0,8650713.31,4.58,3.98
+002478.SZ,20220602,20220531,实施,,1559900.0,6419128.09,4.16,3.98
+002478.SZ,20220602,20220531,实施,,1559900.0,6419128.09,4.16,3.98
+002478.SZ,20220507,20220506,实施,,180000.0,720378.87,4.01,3.98
+002478.SZ,20220507,20220506,实施,,180000.0,720378.87,4.01,3.98
+002478.SZ,20220430,,预案,,,60000000.0,5.8,
+002478.SZ,20220419,20220415,完成,,4498000.0,9985434.12,2.2204,2.2
+002478.SZ,20220419,20220415,完成,,4498000.0,9985434.12,2.2204,2.2
+002478.SZ,20220409,,股东大会通过,,,9985434.12,2.2204,2.2
+002478.SZ,20220409,,股东大会通过,,,9985434.12,2.2204,2.2
+002478.SZ,20220318,,预案,,,9985434.12,2.2204,2.2
+002478.SZ,20220318,,预案,,,9985434.12,2.2204,2.2
+002478.SZ,20220217,20220215,完成,,12777100.0,55069955.07,4.86,3.96
+002478.SZ,20220207,20220202,完成,,12777100.0,55069955.07,4.86,3.96
+002478.SZ,20220105,20211231,实施,,12777100.0,55069955.07,4.86,3.96
+002478.SZ,20211202,20211130,实施,,12177100.0,52624355.84,4.86,3.96
+002478.SZ,20211009,20210930,实施,,10318400.0,45154132.25,4.86,4.04
+002478.SZ,20210907,20210906,实施,,9275600.0,40215464.48,4.79,4.04
+002478.SZ,20210902,20210831,实施,,8845600.0,38164394.86,4.77,4.04
+002478.SZ,20210902,20210831,实施,,8845600.0,38164394.86,4.77,4.04
+002478.SZ,20210803,20210731,实施,,8377800.0,35955220.69,4.59,4.04
+002478.SZ,20210803,20210731,实施,,8377800.0,35955220.69,4.59,4.04
+002478.SZ,20210702,20210630,实施,,7466200.0,31823482.95,4.59,4.04
+002478.SZ,20210702,20210630,实施,,7466200.0,31823482.95,4.59,4.04
+002478.SZ,20210601,20210531,实施,,5022100.0,21266392.74,4.37,4.04
+002478.SZ,20210601,20210531,实施,,5022100.0,21266392.74,4.37,4.04
+002478.SZ,20210520,20210518,完成,,40162193.0,5.0,,
+002478.SZ,20210507,20210430,实施,,3532700.0,14957777.71,4.37,4.04
+002478.SZ,20210507,20210430,实施,,3532700.0,14957777.71,4.37,4.04
+002478.SZ,20210401,20210331,实施,,2757700.0,11739850.76,4.37,4.15
+002478.SZ,20210401,20210331,实施,,2757700.0,11739850.76,4.37,4.15
+002478.SZ,20210316,20210315,实施,,235000.0,1024521.11,4.37,4.31
+002478.SZ,20210316,20210315,实施,,235000.0,1024521.11,4.37,4.31
+002478.SZ,20210309,,预案,,,7.0,,
+002478.SZ,20210309,,预案,,,1.0,,
+002478.SZ,20210220,,股东大会通过,20220204,,100000000.0,5.8,
+002478.SZ,20210204,,预案,,,100000000.0,5.8,
+002478.SZ,20210108,20210106,完成,,12130000.0,61941641.47,6.13,4.33
+002478.SZ,20210104,20201231,实施,,11612000.0,59665752.65,6.13,4.33
+002478.SZ,20201010,20200930,实施,,10003900.0,52530078.58,6.13,4.72
+002478.SZ,20200902,20200831,实施,,8375600.0,44217190.15,6.13,4.72
+002478.SZ,20200902,20200831,实施,,8375600.0,44217190.15,6.13,4.72
+002478.SZ,20200702,20200630,实施,,8255600.0,43593434.25,6.13,4.72
+002478.SZ,20200702,20200630,实施,,8255600.0,43593434.25,6.13,4.72
+002478.SZ,20200602,20200531,实施,,7161300.0,38276096.21,6.13,4.72
+002478.SZ,20200602,20200531,实施,,7161300.0,38276096.21,6.13,4.72
+002478.SZ,20200402,20200331,实施,,4193300.0,23762132.95,6.13,5.11
+002478.SZ,20200402,20200331,实施,,4193300.0,23762132.95,6.13,5.11
+002478.SZ,20200303,20200229,实施,,2573300.0,14866908.81,6.13,5.11
+002478.SZ,20200303,20200229,实施,,2573300.0,14866908.81,6.13,5.11
+002478.SZ,20200204,20200131,实施,,1533300.0,9268560.0,6.13,5.8
+002478.SZ,20200204,20200131,实施,,1533300.0,9268560.0,6.13,5.8
+002478.SZ,20200111,20200110,实施,,75000.0,451616.0,6.02,6.02
+002478.SZ,20200111,20200110,实施,,75000.0,451616.0,6.02,6.02
+002478.SZ,20200108,,预案,,,100000000.0,7.0,
+002478.SZ,20181115,20181113,完成,,27400680.0,134280797.0,5.2,4.18
+002478.SZ,20180901,20180831,完成,,27400680.0,134280797.0,5.2,4.18
+002478.SZ,20180802,20180731,实施,,24885280.0,122507656.0,5.2,4.18
+002478.SZ,20180703,20180630,实施,,22194537.0,110368441.0,5.2,4.3
+002478.SZ,20180615,20180614,实施,,19903037.0,100049628.0,5.2,4.56
+002478.SZ,20180602,20180531,实施,,16187637.0,82106753.0,5.2,4.56
+002478.SZ,20180404,20180403,实施,,10484575.0,53164739.0,5.2,4.56
+002478.SZ,20180403,20180331,实施,,9213676.0,46585933.0,5.2,4.56
+002478.SZ,20180403,20180331,实施,,9213676.0,46585933.0,5.2,4.56
+002478.SZ,20180306,20180305,实施,,650000.0,3250697.0,5.01,4.98
+002478.SZ,20180306,20180305,实施,,650000.0,3250697.0,5.01,4.98
+002478.SZ,20180301,,股东大会通过,20180831,,200000000.0,6.6,
+002478.SZ,20180209,,预案,,,200000000.0,6.6,
+002478.SZ,20160126,,失效,,,200000000.0,10.28,
+002478.SZ,20150727,,股东大会通过,20160124,,200000000.0,10.28,
+002478.SZ,20150709,,预案,,,200000000.0,10.28,

data/CN/002478.SZ/report.html

@@ -0,0 +1,415 @@
+
+        <html>
+            <head>
+                <meta charset="utf-8" />
+                <meta name="viewport" content="width=device-width, initial-scale=1" />
+                <title>002478.SZ Financial Report</title>
+                <style>
+                    :root {
+                        --bg: #f5f6fa;
+                        --card-bg: #ffffff;
+                        --header-bg: #f7f8fb;
+                        --section-bg: #f0f2f5;
+                        --border: #e5e7eb;
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+            </head>
+            <body>
+                <div class="report-container">
+                    <h1>常宝股份 (002478.SZ) - Financial Report</h1>
+<p><em>Report generated on: 2025-12-18</em></p>
+
+        <table class="company-table">
+            <thead>
+                <tr>
+                    <th>代码</th>
+                    <th>简称</th>
+                    <th>上市日期</th>
+                    <th>PE</th>
+                    <th>PB</th>
+                    <th>股息率(%)</th>
+                </tr>
+            </thead>
+            <tbody>
+                <tr>
+                    <td>002478.SZ</td>
+                    <td>常宝股份</td>
+                    <td>2010-09-21</td>
+                    <td>11.22</td>
+                    <td>1.20</td>
+                    <td>2.76%</td>
+                </tr>
+            </tbody>
+        </table>
+        
+<div class="table-gap"></div>
+
+            <table class="metrics-table" data-table="metrics" data-scrollable="true">
+                <thead>
+                    <tr>
+                        <th>指标</th>
+                        <th>2025Q3</th><th>2024A</th><th>2023A</th><th>2022A</th><th>2021A</th><th>2020A</th><th>2019A</th><th>2018A</th><th>2017A</th><th>2016A</th><th>2015A</th><th>2014A</th><th>2013A</th><th>2012A</th><th>2011A</th><th>2010A</th><th>2009A</th><th>2008A</th><th>2007A</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    <tr class="section-row"><td class="section-label">主要指标</td><td class="section-spacer" colspan="19"></td></tr>
+<tr><td class="metric-name">ROE</td><td>6.64%</td><td>11.25%</td><td>14.98%</td><td>10.29%</td><td>3.20%</td><td>2.80%</td><td>13.47%</td><td>12.09%</td><td>3.86%</td><td>3.65%</td><td>6.95%</td><td>8.61%</td><td>8.44%</td><td>8.18%</td><td>9.69%</td><td>8.40%</td><td>21.36%</td><td>36.32%</td><td>31.83%</td></tr>
+<tr><td class="metric-name">ROA</td><td>4.39%</td><td>7.65%</td><td>10.01%</td><td>6.42%</td><td>1.95%</td><td>1.80%</td><td>8.78%</td><td>7.48%</td><td>2.53%</td><td>2.79%</td><td>5.22%</td><td>6.18%</td><td>6.14%</td><td>6.26%</td><td>7.65%</td><td>5.10%</td><td>8.54%</td><td>9.55%</td><td>11.71%</td></tr>
+<tr><td class="metric-name">ROCE/ROIC</td><td>-</td><td>9.75%</td><td>14.34%</td><td>9.48%</td><td>0.68%</td><td>8.79%</td><td>17.00%</td><td>15.05%</td><td>4.31%</td><td>1.21%</td><td>4.94%</td><td>9.56%</td><td>9.02%</td><td>8.65%</td><td>12.13%</td><td>11.06%</td><td>21.41%</td><td>32.44%</td><td>36.69%</td></tr>
+<tr><td class="metric-name">毛利率</td><td>16.30%</td><td>16.76%</td><td>18.76%</td><td>14.98%</td><td>8.58%</td><td>17.78%</td><td>25.79%</td><td>21.97%</td><td>15.36%</td><td>14.05%</td><td>16.07%</td><td>17.55%</td><td>17.21%</td><td>16.86%</td><td>15.79%</td><td>17.25%</td><td>21.00%</td><td>17.95%</td><td>21.40%</td></tr>
+<tr><td class="metric-name">净利润率</td><td>9.16%</td><td>11.13%</td><td>11.76%</td><td>7.57%</td><td>3.21%</td><td>3.14%</td><td>11.37%</td><td>8.93%</td><td>4.11%</td><td>4.97%</td><td>7.05%</td><td>6.51%</td><td>5.69%</td><td>6.01%</td><td>6.18%</td><td>6.36%</td><td>8.89%</td><td>7.77%</td><td>8.95%</td></tr>
+<tr><td class="metric-name">收入(亿)</td><td>42.84</td><td>56.96</td><td>66.61</td><td>62.23</td><td>42.26</td><td>39.42</td><td>52.85</td><td>53.76</td><td>34.94</td><td>22.05</td><td>29.23</td><td>37.77</td><td>39.88</td><td>34.35</td><td>37.19</td><td>28.79</td><td>21.68</td><td>33.75</td><td>16.49</td></tr>
+<tr><td class="metric-name">收入增速</td><td>1.40%</td><td>-14.48%</td><td>7.03%</td><td>47.25%</td><td>7.22%</td><td>-25.42%</td><td>-1.69%</td><td>53.85%</td><td>58.45%</td><td>-24.56%</td><td>-22.60%</td><td>-5.30%</td><td>16.10%</td><td>-7.64%</td><td>29.20%</td><td>32.76%</td><td>-35.75%</td><td>104.62%</td><td>-</td></tr>
+<tr><td class="metric-name">净利润(亿)</td><td>3.92</td><td>6.34</td><td>7.83</td><td>4.71</td><td>1.36</td><td>1.24</td><td>6.01</td><td>4.80</td><td>1.44</td><td>1.10</td><td>2.06</td><td>2.46</td><td>2.27</td><td>2.06</td><td>2.30</td><td>1.83</td><td>1.93</td><td>2.62</td><td>1.48</td></tr>
+<tr><td class="metric-name">净利润增速</td><td>-4.60%</td><td>-19.00%</td><td>66.24%</td><td>246.78%</td><td>9.85%</td><td>-79.43%</td><td>25.17%</td><td>234.27%</td><td>30.98%</td><td>-46.77%</td><td>-16.20%</td><td>8.33%</td><td>9.98%</td><td>-10.13%</td><td>25.49%</td><td>-5.06%</td><td>-26.47%</td><td>77.70%</td><td>-</td></tr>
+<tr><td class="metric-name">经营净现金流(亿)</td><td>2.49</td><td>8.57</td><td>4.90</td><td>7.83</td><td>-4.83</td><td>6.71</td><td>6.69</td><td>6.86</td><td>5.74</td><td>1.51</td><td>3.77</td><td>9.18</td><td>2.19</td><td>1.62</td><td>-3.59</td><td>2.84</td><td>-2.20</td><td>7.86</td><td>2.55</td></tr>
+<tr><td class="metric-name">资本开支(亿)</td><td>1.29</td><td>2.52</td><td>1.96</td><td>0.87</td><td>1.78</td><td>3.87</td><td>3.80</td><td>1.85</td><td>0.71</td><td>0.27</td><td>0.85</td><td>1.26</td><td>2.88</td><td>2.91</td><td>1.53</td><td>0.81</td><td>1.11</td><td>2.09</td><td>0.99</td></tr>
+<tr><td class="metric-name">自由现金流(亿)</td><td>1.21</td><td>6.05</td><td>2.93</td><td>6.96</td><td>-6.60</td><td>2.85</td><td>2.90</td><td>5.01</td><td>5.03</td><td>1.24</td><td>2.92</td><td>7.92</td><td>-0.69</td><td>-1.29</td><td>-5.13</td><td>2.03</td><td>-3.31</td><td>5.78</td><td>1.55</td></tr>
+<tr><td class="metric-name">分红(亿)</td><td>-</td><td>1.98</td><td>2.52</td><td>1.60</td><td>0.72</td><td>0.92</td><td>1.25</td><td>1.15</td><td>0.99</td><td>8.00</td><td>0.80</td><td>0.76</td><td>0.76</td><td>0.68</td><td>0.45</td><td>0.36</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">回购(亿)</td><td>-</td><td>1.56</td><td>1.30</td><td>3.68</td><td>7.69</td><td>5.01</td><td>-</td><td>12.36</td><td>-</td><td>2.00</td><td>4.00</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">总资产(亿)</td><td>89.46</td><td>82.94</td><td>78.19</td><td>73.35</td><td>69.71</td><td>68.88</td><td>68.44</td><td>64.23</td><td>56.79</td><td>39.33</td><td>39.48</td><td>39.80</td><td>36.98</td><td>33.00</td><td>30.03</td><td>35.87</td><td>22.58</td><td>27.46</td><td>12.60</td></tr>
+<tr><td class="metric-name">净资产(亿)</td><td>59.06</td><td>56.39</td><td>52.29</td><td>45.79</td><td>42.40</td><td>44.13</td><td>44.63</td><td>39.74</td><td>37.22</td><td>30.03</td><td>29.64</td><td>28.56</td><td>26.89</td><td>25.25</td><td>23.69</td><td>21.80</td><td>9.03</td><td>7.22</td><td>4.64</td></tr>
+<tr><td class="metric-name">商誉(亿)</td><td>0.10</td><td>0.10</td><td>0.10</td><td>0.10</td><td>0.10</td><td>2.08</td><td>4.63</td><td>4.73</td><td>4.13</td><td>0.10</td><td>0.10</td><td>0.10</td><td>0.10</td><td>0.10</td><td>0.10</td><td>0.10</td><td>0.10</td><td>0.10</td><td>-</td></tr>
+<tr class="section-row"><td class="section-label">费用指标</td><td class="section-spacer" colspan="19"></td></tr>
+<tr><td class="metric-name">销售费用率</td><td>0.67%</td><td>0.83%</td><td>0.64%</td><td>0.59%</td><td>0.64%</td><td>0.57%</td><td>3.02%</td><td>2.70%</td><td>3.18%</td><td>3.92%</td><td>3.34%</td><td>3.24%</td><td>3.48%</td><td>3.13%</td><td>2.36%</td><td>2.59%</td><td>2.32%</td><td>1.71%</td><td>2.61%</td></tr>
+<tr><td class="metric-name">管理费用率</td><td>2.18%</td><td>2.50%</td><td>2.04%</td><td>1.71%</td><td>2.91%</td><td>4.31%</td><td>3.74%</td><td>3.98%</td><td>7.00%</td><td>7.87%</td><td>6.91%</td><td>6.41%</td><td>6.46%</td><td>6.85%</td><td>5.24%</td><td>5.32%</td><td>6.16%</td><td>3.74%</td><td>4.90%</td></tr>
+<tr><td class="metric-name">SG&A比例</td><td>2.85%</td><td>3.34%</td><td>2.67%</td><td>2.31%</td><td>3.55%</td><td>4.88%</td><td>6.76%</td><td>6.68%</td><td>10.18%</td><td>11.79%</td><td>10.25%</td><td>9.65%</td><td>9.94%</td><td>9.98%</td><td>7.59%</td><td>7.91%</td><td>8.48%</td><td>5.44%</td><td>7.51%</td></tr>
+<tr><td class="metric-name">研发费用率</td><td>-</td><td>3.71%</td><td>3.77%</td><td>3.71%</td><td>3.75%</td><td>3.36%</td><td>3.34%</td><td>3.33%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">其他费用率</td><td>4.29%</td><td>-1.43%</td><td>0.56%</td><td>1.40%</td><td>-1.94%</td><td>6.40%</td><td>4.32%</td><td>3.03%</td><td>1.07%</td><td>-2.72%</td><td>-1.23%</td><td>1.38%</td><td>1.58%</td><td>0.88%</td><td>2.02%</td><td>2.98%</td><td>3.64%</td><td>4.73%</td><td>4.95%</td></tr>
+<tr><td class="metric-name">折旧费用占比</td><td>-</td><td>3.94%</td><td>3.39%</td><td>3.58%</td><td>3.91%</td><td>4.92%</td><td>3.36%</td><td>3.59%</td><td>4.38%</td><td>6.75%</td><td>5.19%</td><td>3.70%</td><td>2.38%</td><td>2.17%</td><td>1.92%</td><td>2.27%</td><td>2.65%</td><td>1.18%</td><td>1.55%</td></tr>
+<tr><td class="metric-name">所得税率</td><td>11.73%</td><td>12.49%</td><td>11.34%</td><td>11.30%</td><td>-2.02%</td><td>20.11%</td><td>15.70%</td><td>13.90%</td><td>12.20%</td><td>8.10%</td><td>8.69%</td><td>10.37%</td><td>9.04%</td><td>12.69%</td><td>11.90%</td><td>12.09%</td><td>13.22%</td><td>9.25%</td><td>24.43%</td></tr>
+<tr class="section-row"><td class="section-label">资产占比</td><td class="section-spacer" colspan="19"></td></tr>
+<tr><td class="metric-name">现金占比</td><td>34.20%</td><td>31.77%</td><td>21.74%</td><td>19.68%</td><td>15.47%</td><td>24.18%</td><td>23.70%</td><td>22.29%</td><td>21.68%</td><td>23.83%</td><td>9.85%</td><td>16.88%</td><td>11.62%</td><td>18.92%</td><td>30.81%</td><td>44.58%</td><td>20.05%</td><td>34.39%</td><td>26.58%</td></tr>
+<tr><td class="metric-name">库存占比</td><td>14.34%</td><td>13.13%</td><td>14.97%</td><td>19.84%</td><td>20.03%</td><td>12.73%</td><td>14.05%</td><td>13.90%</td><td>12.42%</td><td>14.99%</td><td>13.54%</td><td>17.12%</td><td>22.07%</td><td>19.70%</td><td>19.56%</td><td>14.02%</td><td>18.01%</td><td>20.20%</td><td>26.10%</td></tr>
+<tr><td class="metric-name">应收款占比</td><td>8.74%</td><td>7.76%</td><td>11.72%</td><td>6.09%</td><td>8.68%</td><td>6.49%</td><td>8.96%</td><td>10.77%</td><td>8.89%</td><td>11.29%</td><td>14.40%</td><td>11.37%</td><td>16.67%</td><td>11.08%</td><td>13.42%</td><td>11.91%</td><td>18.04%</td><td>12.90%</td><td>6.56%</td></tr>
+<tr><td class="metric-name">预付款占比</td><td>1.38%</td><td>0.66%</td><td>1.33%</td><td>0.92%</td><td>1.40%</td><td>0.79%</td><td>0.67%</td><td>1.13%</td><td>2.89%</td><td>1.66%</td><td>0.88%</td><td>1.10%</td><td>3.69%</td><td>5.41%</td><td>2.15%</td><td>3.87%</td><td>5.60%</td><td>5.06%</td><td>3.84%</td></tr>
+<tr><td class="metric-name">固定资产占比</td><td>-</td><td>24.54%</td><td>26.36%</td><td>26.96%</td><td>26.12%</td><td>27.18%</td><td>28.40%</td><td>27.09%</td><td>30.65%</td><td>26.58%</td><td>28.69%</td><td>31.32%</td><td>29.19%</td><td>22.82%</td><td>20.05%</td><td>17.25%</td><td>25.57%</td><td>18.68%</td><td>19.34%</td></tr>
+<tr><td class="metric-name">长期投资占比</td><td>0.67%</td><td>0.66%</td><td>0.70%</td><td>1.09%</td><td>1.56%</td><td>1.21%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>0.04%</td><td>0.04%</td><td>0.05%</td><td>0.04%</td><td>0.06%</td><td>0.05%</td><td>3.84%</td></tr>
+<tr><td class="metric-name">商誉占比</td><td>0.11%</td><td>0.12%</td><td>0.12%</td><td>0.13%</td><td>0.14%</td><td>3.02%</td><td>6.76%</td><td>7.36%</td><td>7.27%</td><td>0.24%</td><td>0.24%</td><td>0.24%</td><td>0.26%</td><td>0.29%</td><td>0.32%</td><td>0.27%</td><td>0.42%</td><td>0.35%</td><td>-</td></tr>
+<tr><td class="metric-name">其他资产占比</td><td>40.57%</td><td>21.36%</td><td>23.05%</td><td>25.29%</td><td>26.60%</td><td>24.41%</td><td>17.45%</td><td>17.46%</td><td>16.19%</td><td>21.40%</td><td>32.40%</td><td>21.97%</td><td>16.46%</td><td>21.74%</td><td>13.64%</td><td>8.06%</td><td>12.25%</td><td>8.37%</td><td>13.74%</td></tr>
+<tr><td class="metric-name">应付款占比</td><td>4.18%</td><td>4.31%</td><td>3.98%</td><td>4.20%</td><td>5.35%</td><td>4.37%</td><td>5.42%</td><td>5.17%</td><td>5.41%</td><td>3.01%</td><td>4.49%</td><td>6.08%</td><td>9.19%</td><td>6.95%</td><td>5.42%</td><td>5.65%</td><td>11.21%</td><td>13.29%</td><td>16.92%</td></tr>
+<tr><td class="metric-name">预收款占比</td><td>0.00%</td><td>1.40%</td><td>1.17%</td><td>2.76%</td><td>0.64%</td><td>0.82%</td><td>1.43%</td><td>1.86%</td><td>1.44%</td><td>1.55%</td><td>1.62%</td><td>1.33%</td><td>1.05%</td><td>1.44%</td><td>0.96%</td><td>1.08%</td><td>1.23%</td><td>4.08%</td><td>5.70%</td></tr>
+<tr><td class="metric-name">短期借款占比</td><td>3.94%</td><td>1.95%</td><td>1.66%</td><td>1.85%</td><td>1.87%</td><td>1.23%</td><td>2.23%</td><td>1.14%</td><td>1.92%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.54%</td><td>1.52%</td><td>1.35%</td><td>4.88%</td><td>12.84%</td><td>12.55%</td><td>11.81%</td></tr>
+<tr><td class="metric-name">长期借款占比</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>2.03%</td><td>2.14%</td><td>0.70%</td><td>0.00%</td><td>0.44%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.51%</td><td>0.57%</td><td>0.04%</td><td>1.15%</td><td>0.98%</td><td>3.03%</td><td>0.33%</td></tr>
+<tr><td class="metric-name">运营资产占比</td><td>20.27%</td><td>15.84%</td><td>22.88%</td><td>19.88%</td><td>24.13%</td><td>14.82%</td><td>16.83%</td><td>18.78%</td><td>17.35%</td><td>23.39%</td><td>22.71%</td><td>22.18%</td><td>32.20%</td><td>27.80%</td><td>28.74%</td><td>23.06%</td><td>29.21%</td><td>20.79%</td><td>13.88%</td></tr>
+<tr><td class="metric-name">有息负债率</td><td>3.94%</td><td>1.95%</td><td>1.66%</td><td>1.85%</td><td>3.89%</td><td>3.37%</td><td>2.93%</td><td>1.14%</td><td>2.36%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>1.05%</td><td>2.09%</td><td>1.39%</td><td>6.03%</td><td>13.82%</td><td>15.58%</td><td>12.14%</td></tr>
+<tr class="section-row"><td class="section-label">周转能力</td><td class="section-spacer" colspan="19"></td></tr>
+<tr><td class="metric-name">存货周转天数</td><td>130</td><td>83</td><td>78</td><td>100</td><td>131</td><td>98</td><td>89</td><td>77</td><td>87</td><td>113</td><td>79</td><td>79</td><td>90</td><td>83</td><td>68</td><td>77</td><td>86</td><td>73</td><td>92</td></tr>
+<tr><td class="metric-name">应收款周转天数</td><td>66</td><td>41</td><td>50</td><td>26</td><td>52</td><td>41</td><td>42</td><td>46</td><td>52</td><td>73</td><td>70</td><td>43</td><td>56</td><td>38</td><td>39</td><td>54</td><td>68</td><td>38</td><td>18</td></tr>
+<tr><td class="metric-name">应付款周转天数</td><td>38</td><td>27</td><td>20</td><td>21</td><td>35</td><td>33</td><td>34</td><td>28</td><td>37</td><td>22</td><td>26</td><td>28</td><td>37</td><td>29</td><td>18</td><td>31</td><td>53</td><td>48</td><td>60</td></tr>
+<tr><td class="metric-name">固定资产周转率</td><td>-</td><td>2.80</td><td>3.23</td><td>3.15</td><td>2.32</td><td>2.11</td><td>2.72</td><td>3.09</td><td>2.01</td><td>2.11</td><td>2.58</td><td>3.03</td><td>3.69</td><td>4.56</td><td>6.18</td><td>4.65</td><td>3.76</td><td>6.58</td><td>6.77</td></tr>
+<tr><td class="metric-name">总资产周转率</td><td>0.48</td><td>0.69</td><td>0.85</td><td>0.85</td><td>0.61</td><td>0.57</td><td>0.77</td><td>0.84</td><td>0.62</td><td>0.56</td><td>0.74</td><td>0.95</td><td>1.08</td><td>1.04</td><td>1.24</td><td>0.80</td><td>0.96</td><td>1.23</td><td>1.31</td></tr>
+<tr class="section-row"><td class="section-label">人均效率</td><td class="section-spacer" colspan="19"></td></tr>
+<tr><td class="metric-name">员工人数</td><td>-</td><td>1,869</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">人均创收(万)</td><td>-</td><td>304.78</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">人均创利(万)</td><td>-</td><td>33.93</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">人均薪酬(万)</td><td>-</td><td>16.54</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr class="section-row"><td class="section-label">市场表现</td><td class="section-spacer" colspan="19"></td></tr>
+<tr><td class="metric-name">股价</td><td>7.90</td><td>5.29</td><td>5.45</td><td>5.63</td><td>4.33</td><td>4.39</td><td>5.92</td><td>4.60</td><td>5.45</td><td>13.16</td><td>14.25</td><td>11.20</td><td>10.20</td><td>10.32</td><td>11.20</td><td>17.57</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">市值(亿)</td><td>71.16</td><td>47.68</td><td>49.13</td><td>50.35</td><td>39.83</td><td>42.14</td><td>56.83</td><td>44.16</td><td>53.81</td><td>52.65</td><td>57.01</td><td>44.81</td><td>40.81</td><td>41.29</td><td>44.81</td><td>70.30</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">PE</td><td>11.22</td><td>6.09</td><td>10.43</td><td>37.07</td><td>32.21</td><td>7.01</td><td>11.83</td><td>30.74</td><td>49.06</td><td>25.55</td><td>23.19</td><td>19.74</td><td>19.77</td><td>17.98</td><td>24.48</td><td>36.46</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">PB</td><td>1.20</td><td>0.88</td><td>0.97</td><td>1.13</td><td>0.95</td><td>0.92</td><td>1.30</td><td>1.19</td><td>1.46</td><td>1.77</td><td>1.95</td><td>1.60</td><td>1.55</td><td>1.69</td><td>1.95</td><td>3.30</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">股东户数</td><td>22,984</td><td>27,145</td><td>26,198</td><td>26,507</td><td>24,046</td><td>26,365</td><td>25,327</td><td>26,586</td><td>29,447</td><td>25,030</td><td>28,650</td><td>22,137</td><td>22,810</td><td>25,350</td><td>27,092</td><td>29,819</td><td>-</td><td>-</td><td>-</td></tr>
+                </tbody>
+            </table>
+            
+                </div>
+                <script>
+                document.addEventListener('DOMContentLoaded', function() {
+                    const scrollableTables = document.querySelectorAll('table[data-scrollable="true"]');
+                    scrollableTables.forEach(table => {
+                        const container = document.createElement('div');
+                        container.className = 'table-container';
+                        table.parentNode.insertBefore(container, table);
+                        container.appendChild(table);
+                    });
+
+                    const parseValue = (text) => {
+                        if (!text || text.trim() === '-') return null;
+                        return parseFloat(text.replace(/%|,/g, ''));
+                    };
+
+                    const styleRules = {
+                        'ROE': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 15) cell.classList.add('bg-green');
+                        },
+                        'ROA': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 10) cell.classList.add('bg-green');
+                        },
+                        '毛利率': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 50) cell.classList.add('bg-green');
+                        },
+                        '净利润率': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 20) {
+                                    cell.classList.add('bg-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                }
+                            }
+                        },
+                        '收入增速': (cell) => {
+                            cell.classList.add('italic');
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 15) {
+                                    cell.classList.add('bg-green', 'font-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('font-red');
+                                } else {
+                                    cell.classList.add('font-blue');
+                                }
+                            }
+                        },
+                        '净利润增速': (cell) => {
+                            cell.classList.add('italic');
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 15) {
+                                    cell.classList.add('bg-green', 'font-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('font-red');
+                                } else {
+                                    cell.classList.add('font-blue');
+                                }
+                            }
+                        },
+                        '经营净现金流(亿)': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value < 0) cell.classList.add('bg-red', 'font-red');
+                        },
+                        '应收款周转天数': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 90) cell.classList.add('bg-red', 'font-red');
+                        }
+                    };
+
+                    const metricsTables = document.querySelectorAll('table[data-table="metrics"]');
+                    metricsTables.forEach(table => {
+                        let netProfitValues = [];
+                        let fcfRow = null;
+                        const rows = table.querySelectorAll('tbody tr');
+                        rows.forEach(row => {
+                            if (row.classList.contains('section-row')) return;
+                            const metricCell = row.querySelector('td:first-child');
+                            if (!metricCell) return;
+                            const metricName = metricCell.textContent.trim();
+                            if (metricName === '净利润(亿)') {
+                                row.querySelectorAll('td:not(:first-child)').forEach(cell => {
+                                    netProfitValues.push(parseValue(cell.textContent));
+                                });
+                            } else if (metricName === '自由现金流(亿)') {
+                                fcfRow = row;
+                            }
+                        });
+
+                        rows.forEach(row => {
+                            if (row.classList.contains('section-row')) return;
+                            const metricCell = row.querySelector('td:first-child');
+                            if (!metricCell) return;
+                            const metricName = metricCell.textContent.trim();
+                            const cells = row.querySelectorAll('td:not(:first-child)');
+                            if (styleRules[metricName]) {
+                                cells.forEach(cell => {
+                                    styleRules[metricName](cell);
+                                });
+                            }
+                            if (row === fcfRow && netProfitValues.length > 0) {
+                                cells.forEach((cell, index) => {
+                                    const fcfValue = parseValue(cell.textContent);
+                                    const netProfitValue = netProfitValues[index];
+                                    if (fcfValue !== null) {
+                                        if (fcfValue < 0) {
+                                            cell.classList.add('bg-red', 'font-red');
+                                        } else if (netProfitValue !== null && fcfValue > netProfitValue) {
+                                            cell.classList.add('bg-green', 'font-green');
+                                        }
+                                    }
+                                });
+                            }
+                        });
+                    });
+                });
+                </script>
+            </body>
+        </html>
+        

data/CN/002478.SZ/report.md

@@ -0,0 +1,89 @@
+# 常宝股份 (002478.SZ) - Financial Report
+*Report generated on: 2025-12-18*
+
+| 代码 | 简称 | 上市日期 | PE | PB | 股息率(%) |
+|:---|:---|:---|:---|:---|:---|
+| 002478.SZ | 常宝股份 | 2010-09-21 | 11.22 | 1.20 | 2.76% |
+
+
+## 主要指标
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2013A | 2012A | 2011A | 2010A | 2009A | 2008A | 2007A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| ROE | 6.64% | 11.25% | 14.98% | 10.29% | 3.20% | 2.80% | 13.47% | 12.09% | 3.86% | 3.65% | 6.95% | 8.61% | 8.44% | 8.18% | 9.69% | 8.40% | 21.36% | 36.32% | 31.83% |
+| ROA | 4.39% | 7.65% | 10.01% | 6.42% | 1.95% | 1.80% | 8.78% | 7.48% | 2.53% | 2.79% | 5.22% | 6.18% | 6.14% | 6.26% | 7.65% | 5.10% | 8.54% | 9.55% | 11.71% |
+| ROCE/ROIC | - | 9.75% | 14.34% | 9.48% | 0.68% | 8.79% | 17.00% | 15.05% | 4.31% | 1.21% | 4.94% | 9.56% | 9.02% | 8.65% | 12.13% | 11.06% | 21.41% | 32.44% | 36.69% |
+| 毛利率 | 16.30% | 16.76% | 18.76% | 14.98% | 8.58% | 17.78% | 25.79% | 21.97% | 15.36% | 14.05% | 16.07% | 17.55% | 17.21% | 16.86% | 15.79% | 17.25% | 21.00% | 17.95% | 21.40% |
+| 净利润率 | 9.16% | 11.13% | 11.76% | 7.57% | 3.21% | 3.14% | 11.37% | 8.93% | 4.11% | 4.97% | 7.05% | 6.51% | 5.69% | 6.01% | 6.18% | 6.36% | 8.89% | 7.77% | 8.95% |
+| 收入(亿) | 42.84 | 56.96 | 66.61 | 62.23 | 42.26 | 39.42 | 52.85 | 53.76 | 34.94 | 22.05 | 29.23 | 37.77 | 39.88 | 34.35 | 37.19 | 28.79 | 21.68 | 33.75 | 16.49 |
+| 收入增速 | 1.40% | -14.48% | 7.03% | 47.25% | 7.22% | -25.42% | -1.69% | 53.85% | 58.45% | -24.56% | -22.60% | -5.30% | 16.10% | -7.64% | 29.20% | 32.76% | -35.75% | 104.62% | - |
+| 净利润(亿) | 3.92 | 6.34 | 7.83 | 4.71 | 1.36 | 1.24 | 6.01 | 4.80 | 1.44 | 1.10 | 2.06 | 2.46 | 2.27 | 2.06 | 2.30 | 1.83 | 1.93 | 2.62 | 1.48 |
+| 净利润增速 | -4.60% | -19.00% | 66.24% | 246.78% | 9.85% | -79.43% | 25.17% | 234.27% | 30.98% | -46.77% | -16.20% | 8.33% | 9.98% | -10.13% | 25.49% | -5.06% | -26.47% | 77.70% | - |
+| 经营净现金流(亿) | 2.49 | 8.57 | 4.90 | 7.83 | -4.83 | 6.71 | 6.69 | 6.86 | 5.74 | 1.51 | 3.77 | 9.18 | 2.19 | 1.62 | -3.59 | 2.84 | -2.20 | 7.86 | 2.55 |
+| 资本开支(亿) | 1.29 | 2.52 | 1.96 | 0.87 | 1.78 | 3.87 | 3.80 | 1.85 | 0.71 | 0.27 | 0.85 | 1.26 | 2.88 | 2.91 | 1.53 | 0.81 | 1.11 | 2.09 | 0.99 |
+| 自由现金流(亿) | 1.21 | 6.05 | 2.93 | 6.96 | -6.60 | 2.85 | 2.90 | 5.01 | 5.03 | 1.24 | 2.92 | 7.92 | -0.69 | -1.29 | -5.13 | 2.03 | -3.31 | 5.78 | 1.55 |
+| 分红(亿) | - | 1.98 | 2.52 | 1.60 | 0.72 | 0.92 | 1.25 | 1.15 | 0.99 | 8.00 | 0.80 | 0.76 | 0.76 | 0.68 | 0.45 | 0.36 | - | - | - |
+| 回购(亿) | - | 1.56 | 1.30 | 3.68 | 7.69 | 5.01 | - | 12.36 | - | 2.00 | 4.00 | - | - | - | - | - | - | - | - |
+| 总资产(亿) | 89.46 | 82.94 | 78.19 | 73.35 | 69.71 | 68.88 | 68.44 | 64.23 | 56.79 | 39.33 | 39.48 | 39.80 | 36.98 | 33.00 | 30.03 | 35.87 | 22.58 | 27.46 | 12.60 |
+| 净资产(亿) | 59.06 | 56.39 | 52.29 | 45.79 | 42.40 | 44.13 | 44.63 | 39.74 | 37.22 | 30.03 | 29.64 | 28.56 | 26.89 | 25.25 | 23.69 | 21.80 | 9.03 | 7.22 | 4.64 |
+| 商誉(亿) | 0.10 | 0.10 | 0.10 | 0.10 | 0.10 | 2.08 | 4.63 | 4.73 | 4.13 | 0.10 | 0.10 | 0.10 | 0.10 | 0.10 | 0.10 | 0.10 | 0.10 | 0.10 | - |
+
+
+## 费用指标
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2013A | 2012A | 2011A | 2010A | 2009A | 2008A | 2007A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 销售费用率 | 0.67% | 0.83% | 0.64% | 0.59% | 0.64% | 0.57% | 3.02% | 2.70% | 3.18% | 3.92% | 3.34% | 3.24% | 3.48% | 3.13% | 2.36% | 2.59% | 2.32% | 1.71% | 2.61% |
+| 管理费用率 | 2.18% | 2.50% | 2.04% | 1.71% | 2.91% | 4.31% | 3.74% | 3.98% | 7.00% | 7.87% | 6.91% | 6.41% | 6.46% | 6.85% | 5.24% | 5.32% | 6.16% | 3.74% | 4.90% |
+| SG&A比例 | 2.85% | 3.34% | 2.67% | 2.31% | 3.55% | 4.88% | 6.76% | 6.68% | 10.18% | 11.79% | 10.25% | 9.65% | 9.94% | 9.98% | 7.59% | 7.91% | 8.48% | 5.44% | 7.51% |
+| 研发费用率 | - | 3.71% | 3.77% | 3.71% | 3.75% | 3.36% | 3.34% | 3.33% | - | - | - | - | - | - | - | - | - | - | - |
+| 其他费用率 | 4.29% | -1.43% | 0.56% | 1.40% | -1.94% | 6.40% | 4.32% | 3.03% | 1.07% | -2.72% | -1.23% | 1.38% | 1.58% | 0.88% | 2.02% | 2.98% | 3.64% | 4.73% | 4.95% |
+| 折旧费用占比 | - | 3.94% | 3.39% | 3.58% | 3.91% | 4.92% | 3.36% | 3.59% | 4.38% | 6.75% | 5.19% | 3.70% | 2.38% | 2.17% | 1.92% | 2.27% | 2.65% | 1.18% | 1.55% |
+| 所得税率 | 11.73% | 12.49% | 11.34% | 11.30% | -2.02% | 20.11% | 15.70% | 13.90% | 12.20% | 8.10% | 8.69% | 10.37% | 9.04% | 12.69% | 11.90% | 12.09% | 13.22% | 9.25% | 24.43% |
+
+
+## 资产占比
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2013A | 2012A | 2011A | 2010A | 2009A | 2008A | 2007A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 现金占比 | 34.20% | 31.77% | 21.74% | 19.68% | 15.47% | 24.18% | 23.70% | 22.29% | 21.68% | 23.83% | 9.85% | 16.88% | 11.62% | 18.92% | 30.81% | 44.58% | 20.05% | 34.39% | 26.58% |
+| 库存占比 | 14.34% | 13.13% | 14.97% | 19.84% | 20.03% | 12.73% | 14.05% | 13.90% | 12.42% | 14.99% | 13.54% | 17.12% | 22.07% | 19.70% | 19.56% | 14.02% | 18.01% | 20.20% | 26.10% |
+| 应收款占比 | 8.74% | 7.76% | 11.72% | 6.09% | 8.68% | 6.49% | 8.96% | 10.77% | 8.89% | 11.29% | 14.40% | 11.37% | 16.67% | 11.08% | 13.42% | 11.91% | 18.04% | 12.90% | 6.56% |
+| 预付款占比 | 1.38% | 0.66% | 1.33% | 0.92% | 1.40% | 0.79% | 0.67% | 1.13% | 2.89% | 1.66% | 0.88% | 1.10% | 3.69% | 5.41% | 2.15% | 3.87% | 5.60% | 5.06% | 3.84% |
+| 固定资产占比 | - | 24.54% | 26.36% | 26.96% | 26.12% | 27.18% | 28.40% | 27.09% | 30.65% | 26.58% | 28.69% | 31.32% | 29.19% | 22.82% | 20.05% | 17.25% | 25.57% | 18.68% | 19.34% |
+| 长期投资占比 | 0.67% | 0.66% | 0.70% | 1.09% | 1.56% | 1.21% | - | - | - | - | - | - | 0.04% | 0.04% | 0.05% | 0.04% | 0.06% | 0.05% | 3.84% |
+| 商誉占比 | 0.11% | 0.12% | 0.12% | 0.13% | 0.14% | 3.02% | 6.76% | 7.36% | 7.27% | 0.24% | 0.24% | 0.24% | 0.26% | 0.29% | 0.32% | 0.27% | 0.42% | 0.35% | - |
+| 其他资产占比 | 40.57% | 21.36% | 23.05% | 25.29% | 26.60% | 24.41% | 17.45% | 17.46% | 16.19% | 21.40% | 32.40% | 21.97% | 16.46% | 21.74% | 13.64% | 8.06% | 12.25% | 8.37% | 13.74% |
+| 应付款占比 | 4.18% | 4.31% | 3.98% | 4.20% | 5.35% | 4.37% | 5.42% | 5.17% | 5.41% | 3.01% | 4.49% | 6.08% | 9.19% | 6.95% | 5.42% | 5.65% | 11.21% | 13.29% | 16.92% |
+| 预收款占比 | 0.00% | 1.40% | 1.17% | 2.76% | 0.64% | 0.82% | 1.43% | 1.86% | 1.44% | 1.55% | 1.62% | 1.33% | 1.05% | 1.44% | 0.96% | 1.08% | 1.23% | 4.08% | 5.70% |
+| 短期借款占比 | 3.94% | 1.95% | 1.66% | 1.85% | 1.87% | 1.23% | 2.23% | 1.14% | 1.92% | 0.00% | 0.00% | 0.00% | 0.54% | 1.52% | 1.35% | 4.88% | 12.84% | 12.55% | 11.81% |
+| 长期借款占比 | 0.00% | 0.00% | 0.00% | 0.00% | 2.03% | 2.14% | 0.70% | 0.00% | 0.44% | 0.00% | 0.00% | 0.00% | 0.51% | 0.57% | 0.04% | 1.15% | 0.98% | 3.03% | 0.33% |
+| 运营资产占比 | 20.27% | 15.84% | 22.88% | 19.88% | 24.13% | 14.82% | 16.83% | 18.78% | 17.35% | 23.39% | 22.71% | 22.18% | 32.20% | 27.80% | 28.74% | 23.06% | 29.21% | 20.79% | 13.88% |
+| 有息负债率 | 3.94% | 1.95% | 1.66% | 1.85% | 3.89% | 3.37% | 2.93% | 1.14% | 2.36% | 0.00% | 0.00% | 0.00% | 1.05% | 2.09% | 1.39% | 6.03% | 13.82% | 15.58% | 12.14% |
+
+
+## 周转能力
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2013A | 2012A | 2011A | 2010A | 2009A | 2008A | 2007A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 存货周转天数 | 130 | 83 | 78 | 100 | 131 | 98 | 89 | 77 | 87 | 113 | 79 | 79 | 90 | 83 | 68 | 77 | 86 | 73 | 92 |
+| 应收款周转天数 | 66 | 41 | 50 | 26 | 52 | 41 | 42 | 46 | 52 | 73 | 70 | 43 | 56 | 38 | 39 | 54 | 68 | 38 | 18 |
+| 应付款周转天数 | 38 | 27 | 20 | 21 | 35 | 33 | 34 | 28 | 37 | 22 | 26 | 28 | 37 | 29 | 18 | 31 | 53 | 48 | 60 |
+| 固定资产周转率 | - | 2.80 | 3.23 | 3.15 | 2.32 | 2.11 | 2.72 | 3.09 | 2.01 | 2.11 | 2.58 | 3.03 | 3.69 | 4.56 | 6.18 | 4.65 | 3.76 | 6.58 | 6.77 |
+| 总资产周转率 | 0.48 | 0.69 | 0.85 | 0.85 | 0.61 | 0.57 | 0.77 | 0.84 | 0.62 | 0.56 | 0.74 | 0.95 | 1.08 | 1.04 | 1.24 | 0.80 | 0.96 | 1.23 | 1.31 |
+
+
+## 人均效率
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2013A | 2012A | 2011A | 2010A | 2009A | 2008A | 2007A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 员工人数 | - | 1,869 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| 人均创收(万) | - | 304.78 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| 人均创利(万) | - | 33.93 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| 人均薪酬(万) | - | 16.54 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+
+
+## 市场表现
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2013A | 2012A | 2011A | 2010A | 2009A | 2008A | 2007A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 股价 | 7.90 | 5.29 | 5.45 | 5.63 | 4.33 | 4.39 | 5.92 | 4.60 | 5.45 | 13.16 | 14.25 | 11.20 | 10.20 | 10.32 | 11.20 | 17.57 | - | - | - |
+| 市值(亿) | 71.16 | 47.68 | 49.13 | 50.35 | 39.83 | 42.14 | 56.83 | 44.16 | 53.81 | 52.65 | 57.01 | 44.81 | 40.81 | 41.29 | 44.81 | 70.30 | - | - | - |
+| PE | 11.22 | 6.09 | 10.43 | 37.07 | 32.21 | 7.01 | 11.83 | 30.74 | 49.06 | 25.55 | 23.19 | 19.74 | 19.77 | 17.98 | 24.48 | 36.46 | - | - | - |
+| PB | 1.20 | 0.88 | 0.97 | 1.13 | 0.95 | 0.92 | 1.30 | 1.19 | 1.46 | 1.77 | 1.95 | 1.60 | 1.55 | 1.69 | 1.95 | 3.30 | - | - | - |
+| 股东户数 | 22,984 | 27,145 | 26,198 | 26,507 | 24,046 | 26,365 | 25,327 | 26,586 | 29,447 | 25,030 | 28,650 | 22,137 | 22,810 | 25,350 | 27,092 | 29,819 | - | - | - |
+

data/CN/300750.SZ/balance_sheet.csv

@@ -1,14 +0,0 @@
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data/CN/300750.SZ/cash_flow.csv

@@ -1,14 +0,0 @@
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data/CN/300750.SZ/income_statement.csv

@@ -1,14 +0,0 @@
-ts_code,ann_date,f_ann_date,date,report_type,comp_type,end_type,basic_eps,diluted_eps,total_revenue,revenue,int_income,prem_earned,comm_income,n_commis_income,n_oth_income,n_oth_b_income,prem_income,out_prem,une_prem_reser,reins_income,n_sec_tb_income,n_sec_uw_income,n_asset_mg_income,oth_b_income,fv_value_chg_gain,invest_income,ass_invest_income,forex_gain,total_cogs,oper_cost,int_exp,comm_exp,biz_tax_surchg,sell_exp,admin_exp,fin_exp,assets_impair_loss,prem_refund,compens_payout,reser_insur_liab,div_payt,reins_exp,oper_exp,compens_payout_refu,insur_reser_refu,reins_cost_refund,other_bus_cost,operate_profit,non_oper_income,non_oper_exp,nca_disploss,total_profit,income_tax,n_income,net_income,minority_gain,oth_compr_income,t_compr_income,compr_inc_attr_p,compr_inc_attr_m_s,ebit,ebitda,insurance_exp,undist_profit,distable_profit,rd_exp,fin_exp_int_exp,fin_exp_int_inc,transfer_surplus_rese,transfer_housing_imprest,transfer_oth,adj_lossgain,withdra_legal_surplus,withdra_legal_pubfund,withdra_biz_devfund,withdra_rese_fund,withdra_oth_ersu,workers_welfare,distr_profit_shrhder,prfshare_payable_dvd,comshare_payable_dvd,capit_comstock_div,continued_net_profit,update_flag
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data/CN/300750.SZ/raw_balance_sheet.csv

@@ -1,60 +0,0 @@
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-300750.SZ,20190824,20190824,20190630,1,1,2,2194445000.0,20966274995.41,11305749304.2,985878418.69,,32556486370.73,58980000.0,9444111464.19,8193892175.59,824534244.85,1029818178.9,2452287.27,177853201.6,9623692125.75,,,,,,,,,1233554253.66,63881882652.5,,,947416921.82,,,,,14883961290.06,3506528066.14,,,,,1555293801.94,,100419270.78,316656012.08,1736570054.02,,1425909205.95,26006748934.49,,,,736508349.96,,,,,,,,,,,,,89888631586.99,3638729122.03,1294039502.4,,,,314247518.1,17059577651.6,10098811857.43,7534909203.04,,,1317233803.46,803066668.27,22426699.31,311692470.8,2664652254.88,,,,,,,,830307415.47,,42250965044.76,,925232995.13,,4313623912.01,58389832.13,635800994.99,,9571776856.29,,,,,,,,,,,,,,,,,51822741901.05,773581200.0,,,,3488400716.48,34577488969.46,38065889685.94,89888631586.99,,-101277548.84,,,,,,,,,,,,,17638003639.78,27158389509.03,1004839733.72,14883961290.06,3506528066.14,2998771424.99,925232995.13,,,0
-300750.SZ,20190427,20190427,20190331,1,1,1,2195017400.0,21452320895.65,10562239859.25,985878418.69,,32224951522.9,37900000.0,9162783167.49,7933064764.17,,1153320036.04,,182452713.88,7686537622.67,,,,,,,,,870074607.47,60520697494.05,,,1047709787.58,,,,,12718283064.26,4002146735.88,,,,,1331981184.25,,100419270.78,320180603.51,1481495508.21,,1008321047.6,23580574965.47,,,,652958907.43,,,,,,,,,,,,,84101272459.52,3394334761.13,1403970598.49,,,,314247518.1,,,5404891136.69,,,1336293223.26,1122299621.77,20963013.91,,,,,,,,,,990251685.25,,38597161467.45,,,,3507541924.93,41726802.59,626870612.25,,8505238976.51,,,,,,,,,,,,,,,,,47102400443.96,793701060.0,,,,2772478669.16,34226393346.4,36998872015.56,84101272459.52,,-175362167.19,,,,,,,,,,,,,17095847931.66,24124867219.59,799106865.88,12718283064.26,4002146735.88,3900340464.3,934764875.61,,,0
-300750.SZ,20190427,20190427,20190331,1,1,1,2195017400.0,21452320895.65,10562239859.25,985878418.69,,32224951522.9,37900000.0,9162783167.49,7933064764.17,,1153320036.04,,182452713.88,7686537622.67,,,,,,,,,870074607.47,60520697494.05,,,1047709787.58,,,,,12718283064.26,4002146735.88,,,,,1331981184.25,,100419270.78,320180603.51,1481495508.21,,1008321047.6,23580574965.47,,,,652958907.43,,,,,,,,,,,,,84101272459.52,3394334761.13,1403970598.49,,,,314247518.1,,,5404891136.69,,,1336293223.26,1122299621.77,20963013.91,,,,,,,,,,990251685.25,,38597161467.45,,,,3507541924.93,41726802.59,626870612.25,,8505238976.51,,,,,,,,,,,,,,,,,47102400443.96,793701060.0,,,,2772478669.16,34226393346.4,36998872015.56,84101272459.52,,-175362167.19,,,,,,,,,,,,,17095847931.66,24124867219.59,799106865.88,12718283064.26,4002146735.88,3900340464.3,934764875.61,,,1
-300750.SZ,20190425,20190425,20181231,1,1,4,2195017400.0,21372918712.25,9515006632.3,985878418.69,,27731189739.92,,9742890628.44,6224857396.53,589281314.94,864640798.47,,92808117.05,7076101849.47,,,,,,,,,1076991664.73,53911422755.37,1516521098.2,,965198180.81,,,,,11574665757.11,1623838222.94,,,,,1346171137.42,,100419270.78,305828515.4,1240737742.63,,1298901335.85,19972281261.14,,,,512661245.82,,,,,,,,,,,,,73883704016.51,3490767815.96,1180092100.11,,,,314247518.1,11841128076.55,7057075077.4,4994400867.91,,,1122253456.83,722536564.72,19842845.23,,2904341329.33,,,,,,,,929024032.37,,31084941868.55,,943414523.31,,2512382681.52,40984489.33,611042047.22,,7598591557.34,,,,,,,,,,,,,,,,,38683533425.89,793701060.0,,,,2261889695.31,32938280895.31,35200170590.62,73883704016.51,,-336839207.93,,,,,,,,,,,,,15967748024.97,18898203153.95,682089431.99,11574665757.11,1623838222.94,2924184174.56,943414523.31,,,0
-300750.SZ,20190425,20190425,20181231,1,1,4,2195017400.0,21372918712.25,9515006632.3,985878418.69,,27731189739.92,,9742890628.44,6224857396.53,589281314.94,864640798.47,,92808117.05,7076101849.47,,,,,,,,,1076991664.73,53911422755.37,1516521098.2,,965198180.81,,,,,11574665757.11,1623838222.94,,,,,1346171137.42,,100419270.78,305828515.4,1240737742.63,,1298901335.85,19972281261.14,,,,512661245.82,,,,,,,,,,,,,73883704016.51,3490767815.96,1180092100.11,,,,314247518.1,11841128076.55,7057075077.4,4994400867.91,,,1122253456.83,722536564.72,19842845.23,,2904341329.33,,,,,,,,929024032.37,,31084941868.55,,943414523.31,,2512382681.52,40984489.33,611042047.22,,7598591557.34,,,,,,,,,,,,,,,,,38683533425.89,793701060.0,,,,2261889695.31,32938280895.31,35200170590.62,73883704016.51,,-336839207.93,,,,,,,,,,,,,15967748024.97,18898203153.95,682089431.99,11574665757.11,1623838222.94,2924184174.56,943414523.31,,,1
-300750.SZ,20181026,20181026,20180930,1,1,3,2195017400.0,21332400491.65,8854096176.97,638253676.69,,23009873374.81,,4105020050.57,9849744045.57,,453947445.22,,,5286472060.07,,,,,,,,,1368390591.89,45173587344.33,1749328770.25,,984646309.7,,,,,10313102145.17,2612119399.87,,,,,1362641804.84,,100419270.78,176881170.51,902206805.13,,415681574.9,18617027251.15,,,,416495571.63,,,,,,,,,,,,,63790614595.48,3245327066.37,1248978938.95,,,,,,,1704582797.09,,,596544931.31,705588018.28,,,,,,,,,,,826658774.41,,21825445438.14,,,,2821540586.26,42052130.71,360701916.84,,7437101080.2,,,,,,,,,,,,,,,,,29262546518.34,793701060.0,,,,2226764875.78,32301303201.36,34528068077.14,63790614595.48,,75236516.05,,,,,,,,,,,,,13954764096.14,15096667354.42,683644204.57,10313102145.17,2612119399.87,1646424623.68,967479380.02,,,1
-300750.SZ,20181026,20181026,20180930,1,1,3,2195017400.0,21332400491.65,8854096176.97,638253676.69,,23009873374.81,,4105020050.57,9849744045.57,,453947445.22,,,5286472060.07,,,,,,,,,1368390591.89,45173587344.33,1749328770.25,,984646309.7,,,,,10313102145.17,2612119399.87,,,,,1362641804.84,,100419270.78,176881170.51,902206805.13,,415681574.9,18617027251.15,,,,416495571.63,,,,,,,,,,,,,63790614595.48,3245327066.37,1248978938.95,,,,,,,1704582797.09,,,596544931.31,705588018.28,,,,,,,,,,,826658774.41,,21825445438.14,,,,2821540586.26,42052130.71,360701916.84,,7437101080.2,,,,,,,,,,,,,,,,,29262546518.34,793701060.0,,,,2226764875.78,32301303201.36,34528068077.14,63790614595.48,,75236516.05,,,,,,,,,,,,,13954764096.14,15096667354.42,683644204.57,10313102145.17,2612119399.87,1646424623.68,967479380.02,,,0
-300750.SZ,20180824,20180824,20180630,1,1,2,2172437000.0,20520157651.05,7415859086.9,638253676.69,,17800002418.59,,2571239620.97,8528717101.73,474148632.84,678003502.29,,64274152.08,4919942324.71,,,,,,,,,2632034286.33,37691162710.81,1729158500.0,,913752605.6,,,,,9819507470.69,2645070047.6,,,,,1384785545.17,,100419270.78,158460787.9,708272329.32,,293403603.49,17752830160.55,,,,22800671.27,,,,,,,,,,,,,55443992871.36,3194631603.51,1401956157.12,,,,,6675843483.7,5740618051.51,349064690.97,,,524449445.7,271459638.63,16260284.94,,283008992.25,,,,,,,,785188697.21,,16047849442.03,,899399594.33,,2018155174.56,34549547.01,425180664.33,,6571916583.74,,,,,,,,,,,,,,,,,22619766025.77,,,,,2005370552.71,30818856292.88,32824226845.59,55443992871.36,,72148878.24,,,,,,,,,,,,,11099956722.7,12416461535.21,538422784.92,9819507470.69,2645070047.6,299269277.19,899399594.33,,,1
-300750.SZ,20180824,20180824,20180630,1,1,2,2172437000.0,20520157651.05,7415859086.9,638253676.69,,17800002418.59,,2571239620.97,8528717101.73,474148632.84,678003502.29,,64274152.08,4919942324.71,,,,,,,,,2632034286.33,37691162710.81,1729158500.0,,913752605.6,,,,,9819507470.69,2645070047.6,,,,,1384785545.17,,100419270.78,158460787.9,708272329.32,,293403603.49,17752830160.55,,,,22800671.27,,,,,,,,,,,,,55443992871.36,3194631603.51,1401956157.12,,,,,6675843483.7,5740618051.51,349064690.97,,,524449445.7,271459638.63,16260284.94,,283008992.25,,,,,,,,785188697.21,,16047849442.03,,899399594.33,,2018155174.56,34549547.01,425180664.33,,6571916583.74,,,,,,,,,,,,,,,,,22619766025.77,,,,,2005370552.71,30818856292.88,32824226845.59,55443992871.36,,72148878.24,,,,,,,,,,,,,11099956722.7,12416461535.21,538422784.92,9819507470.69,2645070047.6,299269277.19,899399594.33,,,0
-300750.SZ,20180522,20180522,20180331,1,1,1,1955193267.0,15374442887.79,6918251958.12,638253676.69,,9676141216.63,,7527750188.08,6715688989.42,149376993.55,847303512.7,,47382489.87,4113040896.1,,,,,,,,,1558593622.51,30651507998.01,1962716000.0,,780030501.29,,,,,8446673663.32,3122587039.87,,,,,1390279968.16,,100419270.78,163939750.97,580079605.61,,625001731.36,17171727531.36,,,,16230089.15,,,,,,,,,,,,,47823235529.37,2755256273.24,1163670014.17,,,,,7362937604.85,4308621518.19,518067888.02,,,509591839.94,306609488.43,16269159.28,,296573893.69,,,,,,,,449364718.01,,14931706124.58,,894088692.78,,1787562369.82,69115257.32,404289790.79,,5910312383.95,,,,,,,,,,,,,,,,,20842018508.53,,,,,1843395945.35,25137821075.49,26981217020.84,47823235529.37,,251679285.89,,,,,,,,,,,,,14243439177.5,11671559123.04,196759483.42,8446673663.32,3122587039.87,312843052.97,894088692.78,,,0
-300750.SZ,20180522,20180522,20171231,1,1,4,1955193267.0,15354587816.94,6504904798.9,638253676.69,,14080936626.3,,5458335290.35,6918521550.9,90630850.1,305835456.79,,52310504.72,3417757092.32,,,,,,,,,2695030983.77,33033102914.27,1961291000.0,,791027220.9,,,,,8219496581.74,2974364031.46,,,,,1408760249.33,,100419270.78,139310483.53,510045198.34,,525068808.1,16629782844.18,,,,13744559.02,,,,,,,,,,,,,49662885758.45,2129095275.13,2245096000.7,,,,,8812715586.2,4978257325.43,203165478.74,,,517308034.99,436196766.94,15205262.28,,317156883.9,,,,,,,,364944599.97,,17890045939.15,,895045177.66,,1789007284.61,68992112.81,419460871.47,,5301600721.68,,,,,,,,,,,,,,,,,23191646660.83,,,,,1769799526.51,24701439571.11,26471239097.62,49662885758.45,,248500011.58,,,,,,,,,,,,,12376856841.25,13790972911.63,142941354.82,8219496581.74,2974364031.46,332362146.18,895045177.66,,,0
-300750.SZ,20180522,20180522,20171231,1,1,4,1955193267.0,15354587816.94,6504904798.9,638253676.69,,14080936626.3,,5458335290.35,6918521550.9,90630850.1,305835456.79,,52310504.72,3417757092.32,,,,,,,,,2695030983.77,33033102914.27,1961291000.0,,791027220.9,,,,,8219496581.74,2974364031.46,,,,,1408760249.33,,100419270.78,139310483.53,510045198.34,,525068808.1,16629782844.18,,,,13744559.02,,,,,,,,,,,,,49662885758.45,2129095275.13,2245096000.7,,,,,8812715586.2,4978257325.43,203165478.74,,,517308034.99,436196766.94,15205262.28,,317156883.9,,,,,,,,364944599.97,,17890045939.15,,895045177.66,,1789007284.61,68992112.81,419460871.47,,5301600721.68,,,,,,,,,,,,,,,,,23191646660.83,,,,,1769799526.51,24701439571.11,26471239097.62,49662885758.45,,248500011.58,,,,,,,,,,,,,12376856841.25,13790972911.63,142941354.82,8219496581.74,2974364031.46,332362146.18,895045177.66,,,1
-300750.SZ,20171110,20171110,20170630,1,1,2,1955193267.0,15073392635.47,4992362867.75,299841288.9,,1817625421.27,,2875309020.6,6005154594.85,129673951.35,156199612.05,,89547067.51,3955037968.76,,,,,,,,,11660834659.89,26689382296.28,1547503500.0,,310725425.65,,,,,5635475096.25,4237842734.96,,,,,1162449058.99,,100419270.78,48928917.03,332451118.62,,818438956.14,14194234078.42,,,,,,,,,,,,,,,,,40883616374.7,719950000.0,1257975977.42,,,,,5427777223.94,6190098389.53,192644288.31,,,402945039.76,396746820.17,8666706.59,,361005463.17,,,,,,,,129784955.93,,14367644864.82,,913849883.01,,1268416291.8,82065980.53,377532756.18,,3361814911.52,,,,,,,,,,,,,,,,,17729459776.34,,,,,519861419.41,22634295178.95,23154156598.36,40883616374.7,,313505119.83,,,,,,,,,,,,,8880463615.45,11617875613.47,219221018.86,5635475096.25,4237842734.96,369672169.76,913849883.01,,,0
-300750.SZ,20171110,20171110,20170630,1,1,2,1955193267.0,15073392635.47,4992362867.75,299841288.9,,1817625421.27,,2875309020.6,6005154594.85,129673951.35,156199612.05,,89547067.51,3955037968.76,,,,,,,,,11660834659.89,26689382296.28,1547503500.0,,310725425.65,,,,,5635475096.25,4237842734.96,,,,,1162449058.99,,100419270.78,48928917.03,332451118.62,,818438956.14,14194234078.42,,,,,,,,,,,,,,,,,40883616374.7,719950000.0,1257975977.42,,,,,5427777223.94,6190098389.53,192644288.31,,,402945039.76,396746820.17,8666706.59,,361005463.17,,,,,,,,129784955.93,,14367644864.82,,913849883.01,,1268416291.8,82065980.53,377532756.18,,3361814911.52,,,,,,,,,,,,,,,,,17729459776.34,,,,,519861419.41,22634295178.95,23154156598.36,40883616374.7,,313505119.83,,,,,,,,,,,,,8880463615.45,11617875613.47,219221018.86,5635475096.25,4237842734.96,369672169.76,913849883.01,,,1
-300750.SZ,20180522,20180522,20161231,1,1,4,613321800.0,11608553987.09,2965362316.99,299841288.9,,2456530834.16,,570522837.1,7315840024.05,183806946.21,101183102.22,,7564477.11,1359772316.12,,,,,,,,,9760704235.56,21761324772.53,143400000.0,,169658176.39,,,,,3727473865.79,1226129855.44,,,,,621645950.26,,100419270.78,14206421.31,264912007.47,,559144024.11,6826989571.55,,,,,,,,,,,,,,,,,28588314344.08,302000000.0,1226587998.8,,,,,4394039468.71,3173395264.55,87727135.56,,,446249267.28,248297683.21,5776292.16,,360240077.32,,,,,,,,240511234.77,,10182824422.36,,950079201.39,,930580458.65,28130130.54,403581087.31,,2614370877.89,,,,,,,,,,,,,,,,,12797195300.25,,,,,302472760.51,15488646283.32,15791119043.83,28588314344.08,,1566890.34,,,,,,,5400000.0,,,,,,7886362861.15,7567434733.26,191371423.32,3727473865.79,1226129855.44,366016369.48,950079201.39,,,0
-300750.SZ,20180522,20180522,20161231,1,1,4,613321800.0,11608553987.09,2965362316.99,299841288.9,,2456530834.16,,570522837.1,7315840024.05,183806946.21,101183102.22,,7564477.11,1359772316.12,,,,,,,,,9760704235.56,21761324772.53,143400000.0,,169658176.39,,,,,3727473865.79,1226129855.44,,,,,621645950.26,,100419270.78,14206421.31,264912007.47,,559144024.11,6826989571.55,,,,,,,,,,,,,,,,,28588314344.08,302000000.0,1226587998.8,,,,,4394039468.71,3173395264.55,87727135.56,,,446249267.28,248297683.21,5776292.16,,360240077.32,,,,,,,,240511234.77,,10182824422.36,,950079201.39,,930580458.65,28130130.54,403581087.31,,2614370877.89,,,,,,,,,,,,,,,,,12797195300.25,,,,,302472760.51,15488646283.32,15791119043.83,28588314344.08,,1566890.34,,,,,,,5400000.0,,,,,,7886362861.15,7567434733.26,191371423.32,3727473865.79,1226129855.44,366016369.48,950079201.39,,,1
-300750.SZ,20161001,20161001,20160630,1,1,2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12726241200.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,10186685700.0,,,,,,2539555500.0,,,,,,,,,,,,,,,,,,,,,,,,,,0
-300750.SZ,20161001,20161001,20160630,1,1,2,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,12726241200.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,10186685700.0,,,,,,2539555500.0,,,,,,,,,,,,,,,,,,,,,,,,,,1
-300750.SZ,20160729,20160729,20160331,1,1,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,11042108000.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,9037644600.0,,,,,,2004463400.0,,,,,,,,,,,,,,,,,,,,,,,,,,0
-300750.SZ,20180522,20180522,20151231,1,1,4,470590000.0,369014163.84,376303017.19,37079169.44,,1292935327.52,,422182294.7,2393930005.73,55484188.21,70469398.58,,,1041611188.85,,,,,,,,,227855161.28,5504467564.87,5000000.0,,,,,,,1313098299.52,474893794.61,,6710.03,,,502758023.88,,100419270.78,6133369.98,135241432.42,,630939035.37,3168489936.59,,,,,,,,,,,,,,,,,8672957501.46,,576558942.87,,,,,1041204473.76,1472399950.48,170045760.44,,,198490932.79,252617557.72,3639309.42,,311755056.01,,,,,,,,1322574459.48,,5349286442.97,,917666570.26,,581118102.95,30220779.54,296337217.09,,1825342669.84,,,,,,,,,,,,,,,,,7174629112.81,,,,,244663210.07,1253665178.58,1498328388.65,8672957501.46,,678828.11,,,,,,,,,,,,,2816112300.43,2513604424.24,55484188.21,1313105009.55,474893794.61,315394365.43,917666570.26,,,0
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data/CN/300750.SZ/raw_cash_flow.csv

@@ -1,52 +0,0 @@
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-300750.SZ,20191026,20191026,20190930,1,1,3,,,38036360575.38,163298908.7,,,,,,,,,,,,1774836858.05,39974496342.13,23046083793.97,2611212349.97,2332476003.68,,,,,,1659794653.67,29649566801.29,10324929540.84,15178453020.7,,2563085.15,14210702.04,,15195226807.89,6661477871.25,321750000.0,,932156630.0,,7915384501.25,7279842306.64,3058463176.85,,,4001503667.85,596534389.9903,1693048366.19,492320693.78,,62601933.18,2247970993.15,1753532674.7,23661063.46,19381965585.64,3688654649.03,23070620234.67,943040491.0,447230000.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0
-300750.SZ,20191026,20191026,20190930,1,1,3,,,38036360575.38,163298908.7,,,,,,,,,,,,1774836858.05,39974496342.13,23046083793.97,2611212349.97,2332476003.68,,,,,,1659794653.67,29649566801.29,10324929540.84,15178453020.7,,2563085.15,14210702.04,,15195226807.89,6661477871.25,321750000.0,,932156630.0,,7915384501.25,7279842306.64,3058463176.85,,,4001503667.85,1039486288.1869,1693048366.19,492320693.78,,62601933.18,2247970993.15,1753532674.7,23661063.46,19381965585.64,3688654649.03,23070620234.67,943040491.0,447230000.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
-300750.SZ,20190824,20190824,20190630,1,1,2,2346495300.44,87744066.16,24838903624.97,109269862.19,,,,,,,,,,,,781516763.62,25729690250.78,13700891263.83,1752894045.03,1655079077.44,,,,,,1344522955.73,18453387342.03,7276302908.75,2657818813.56,,,,,2657818813.56,4623112893.49,90750000.0,,,,4713862893.49,-2056044079.93,1354369492.97,,,1796249492.97,5528716163.5267,1222988045.56,121183356.39,,45862760.81,1390034162.76,406215330.21,15718117.48,5642192276.51,3688654649.03,9330846925.54,441880000.0,441880000.0,,530322585.73,1817060732.44,52188372.72,71233411.93,,,-305715.96,6164952.02,,-8807709.54,-495832311.39,17405342.8,-3575604570.39,-2426304894.46,8706398499.9,148144846.35,7276302908.75,,,,5642192276.51,,,,,,9330846925.54,3688654649.03,,,0
-300750.SZ,20190824,20190824,20190630,1,1,2,2346495300.44,87744066.16,24838903624.97,109269862.19,,,,,,,,,,,,781516763.62,25729690250.78,13700891263.83,1752894045.03,1655079077.44,,,,,,1344522955.73,18453387342.03,7276302908.75,2657818813.56,,,,,2657818813.56,4623112893.49,90750000.0,,,,4713862893.49,-2056044079.93,1354369492.97,,,1796249492.97,5783236226.2656,1222988045.56,121183356.39,,45862760.81,1390034162.76,406215330.21,15718117.48,5642192276.51,3688654649.03,9330846925.54,441880000.0,441880000.0,,530322585.73,1817060732.44,52188372.72,71233411.93,,,-305715.96,6164952.02,,-8807709.54,-495832311.39,17405342.8,-3575604570.39,-2426304894.46,8706398499.9,,7276302908.75,,,,5642192276.51,,,,,,9330846925.54,3688654649.03,,,1
-300750.SZ,20190427,20190427,20190331,1,1,1,,,12878552646.43,299432.71,,,,,,,,,,,,421498351.55,13300350430.69,6221938005.9,748693434.59,701069344.37,,,,,,651798444.58,8323499229.44,4976851201.25,14605433.53,,,,,14605433.53,2019864308.52,75250000.0,,626495569.66,,2721609878.18,-2707004444.65,274025394.22,,,715025394.22,4255915886.1405,279493169.29,61759955.59,,24669985.03,365923109.91,349102284.31,-22720393.29,2596228647.62,3688654649.03,6284883296.65,441000000.0,441000000.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
-300750.SZ,20190425,20190425,20181231,1,1,4,3735896487.72,262258592.79,33853639616.99,37127687.41,,,,,,,,,,,,2274383357.82,36165150662.22,19041614626.94,2299961469.07,1868081717.0,,,,,,1639227148.68,24848884961.69,11316265700.53,70629509.16,5258600.0,3655688.2,294506.1,,79838303.46,6629274672.98,192025942.3,,12746210861.04,,19567511476.32,-19487673172.86,4123196326.07,,510282473.44,10908434734.88,5771848024.1698,3493721841.0,216119536.13,,155877429.51,3865718806.64,7042715928.24,27440781.07,-1101250763.02,4789905412.05,3688654649.03,6274955935.37,108785163.6,,974912150.01,2125110234.63,95733856.19,83377065.66,,,91538964.57,15782022.0,314247518.1,-184397531.48,-669755258.27,15459358.23,-4371312786.43,-3143244270.65,11851141407.59,119517889.87,11316265700.53,,,,-1101250763.02,,,,,,3688654649.03,4789905412.05,,,0
-300750.SZ,20190425,20190425,20181231,1,1,4,3735896487.72,262258592.79,33853639616.99,37127687.41,,,,,,,,,,,,2274383357.82,36165150662.22,19041614626.94,2299961469.07,1868081717.0,,,,,,1639227148.68,24848884961.69,11316265700.53,70629509.16,5258600.0,3655688.2,294506.1,,79838303.46,6629274672.98,192025942.3,,12746210861.04,,19567511476.32,-19487673172.86,4123196326.07,,510282473.44,10908434734.88,5771848024.1698,3493721841.0,216119536.13,,155877429.51,3865718806.64,7042715928.24,27440781.07,-1101250763.02,4789905412.05,3688654649.03,6274955935.37,108785163.6,,974912150.01,2125110234.63,95733856.19,83377065.66,,,91538964.57,15782022.0,314247518.1,-184397531.48,-669755258.27,15459358.23,-4371312786.43,-3143244270.65,11851141407.59,,11316265700.53,,,,-1101250763.02,,,,,,3688654649.03,4789905412.05,,,1
-300750.SZ,20181026,20181026,20180930,1,1,3,,,21070111447.41,301325611.35,,,,,,,,,,,,704920707.06,22076357765.82,12588299955.24,1554320363.04,1269800694.62,,,,,,1060506072.64,16472927085.54,5603430680.28,397786320.4,,3660866.63,,,401447187.03,4003526664.32,188726677.3,,10556014049.83,,14748267391.45,-14346820204.42,3098388086.68,,,9412815605.34,163613248.4859,2282129396.03,154081142.29,,185815261.12,2622025799.44,6790789805.9,24982414.85,-1927617303.39,4789905412.05,2862288108.66,6314427518.66,108785163.6,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
-300750.SZ,20180824,20180824,20180630,1,1,2,1069893694.3,-97443594.11,11349245325.45,145178535.71,,,,,,,,,,,,560299594.35,12054723455.51,8740027942.34,976570165.74,671456234.75,,,,,,608343009.72,10996397352.55,1058326102.96,216767226.15,,3206903.36,,,219974129.51,2506446403.66,103842000.0,,6573449373.0,,9183737776.66,-8963763647.15,2683586736.64,,,8113178621.7,-2883539480.9055,1688445920.37,93782534.45,,114716247.56,1896944702.38,6216233919.32,5815768.51,-1683387856.36,4789905412.05,3106517555.69,5429591885.06,67650590.0,,207126112.45,934646157.43,46852863.98,36271274.26,,,2444993.47,,,-59838864.61,-198227130.98,-973329.73,-1662466492.98,474319090.22,266011187.56,,1058326102.96,,,,-1683387856.36,,,,,,3106517555.69,4789905412.05,,,0
-300750.SZ,20180522,20180522,20180331,1,1,1,469264488.71,65166429.44,2561651184.82,136600925.36,,,,,,,,,,,,211514708.3,2909766818.48,4899971184.88,451661730.79,339098883.01,,,,,,488869504.21,6179601302.89,-3269834484.41,4220209248.47,,,,,4220209248.47,1667611627.4,,,151925834.11,,1819537461.51,2400671786.96,997738375.18,,20695110.88,1037619613.06,-4701407794.046,1052569621.31,42973564.05,,66470960.3,1162014145.66,-124394532.6,-13184201.95,-1006741432.0,4789905412.05,3783163980.05,19186127.0,19186127.0,,127717465.75,418689739.66,22774627.17,14666290.5,,,328223.0,,,-27972938.86,-70034407.27,,-606145268.44,-2419349974.35,-1284794230.57,19855070.85,-3269834484.41,,,,-1006741432.0,,,,,,3783163980.05,4789905412.05,,,0
-300750.SZ,20180522,20180522,20171231,1,1,4,4194056577.66,112588566.26,18872908615.92,21013193.89,,,,,,,,,,,,529176792.58,19423098602.39,12357592298.17,2122637417.2,1493296692.69,,,,,,1108823984.08,17082350392.14,2340748210.25,758831340.52,448002008.14,2565089.09,572921.94,,1209971359.69,7180281117.24,1665503314.78,,656.0,,8845785088.02,-7635813728.33,4476769278.83,,9028894.69,10664444151.52,4099608510.9298,1421628377.86,81600198.58,,228481941.8,1731710518.24,8932733633.28,-13763656.75,3623904458.45,1166000953.6,4789905412.05,6178645978.0,1168645100.0,,244744030.88,1279538608.41,75101189.69,26541967.12,,,78311541.52,,,-1344305303.77,-245133190.87,-2604999.44,-2290181545.88,-5075995986.77,5163299958.56,124786796.88,2340748210.25,,,,3623904458.45,,,,,,4789905412.05,1166000953.6,,,0
-300750.SZ,20181026,20181026,20170930,1,1,3,,,10333130705.0,18590039.13,,,,,,,,,,,,438765326.08,10790486070.21,9339844151.58,1447940056.29,973528442.38,,,,,,762537994.18,12523850644.43,-1733364574.22,1902846575.98,447302008.14,2565089.09,572921.94,,2353286595.15,5268771842.36,1293525820.0,,33801356.44,,6596099018.8,-4242812423.65,2560246872.03,,2626381.59,8738485131.62,,1367562190.03,58673275.89,,192651364.04,1618886829.96,7119598301.66,3054315.86,1146475619.65,1166000953.6,2312476573.25,6175611878.0,1168645100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0
-300750.SZ,20171110,20171110,20170630,1,1,2,2020743800.0,34312300.0,6701189072.6,6314977.79,,,,,,,,,,,,236369322.05,6943873372.44,5680819173.2,954740070.6,544344685.49,,,,,,383613562.34,7563517491.63,-619644119.19,198806392.58,445502008.14,1122943.61,572921.94,,646004266.27,3978747353.07,651932500.0,,1534321000.0,,6165000853.07,-5518996586.8,1515912025.59,,,6599412903.59,-3817342677.722,1109776166.12,25777423.37,,184404131.28,1319957720.77,5279455182.82,2908894.84,-856276628.33,1166000953.6,309724325.27,5083500878.0,73500000.0,,49177200.0,477360300.0,31487700.0,5951300.0,,,2279700.0,,,-1245985200.0,-67539100.0,-997900.0,-2641681800.0,-1366773700.0,2082021300.0,,-619644100.0,,,,,,,,,,,,,,0
-300750.SZ,20180522,20180522,20170331,1,1,1,24302205.99,15763102.24,3404527894.74,13236437.91,,,,,,,,,,,,362505387.34,3780269719.99,2722235315.54,369852769.21,238870764.39,,,,,,255577266.62,3586536115.76,193733604.23,51615559.94,,,,,51615559.94,2459107491.01,219204000.0,,1501137963.78,,4179449454.79,-4127833894.85,413910040.9,,66308848.89,3990218891.79,,969797476.02,12861203.02,,75330960.74,1057989639.78,2932229252.01,-352048.57,-1002223087.18,1166000953.6,163777866.42,3510000002.0,,,-7807006.14,289187792.31,14656308.34,1939204.66,,,322076.28,,,-85172231.78,-18053126.42,,-1157067016.01,962653382.55,116440384.84,36568527.37,193733604.23,,,,-1002223087.18,,,,,,163777866.42,1166000953.6,,,0
-300750.SZ,20180522,20180522,20161231,1,1,4,2918436854.29,65609349.18,11524664337.65,1476437.43,,,,,,,,,,,,421522517.2,11947663292.28,5954917349.27,1249671965.87,1559891278.12,,,,,,1074055972.23,9838536565.49,2109126726.79,61944950.69,10027000.0,,5046154.0,,77018104.69,2800818908.69,262828666.62,,9441784763.04,,12505432338.35,-12428414233.66,1930654288.91,,747351550.61,13809851365.52,-10067555462.0948,937312259.12,53696810.21,,1847820297.11,2838829366.44,10971021999.08,-2077449.43,649657042.78,516343910.82,1166000953.6,11131845526.0,7840000.0,,233858870.04,731417250.67,47998770.85,5071074.74,,,158205248.94,,,-76080348.84,-129670575.05,-2090649.0,-320169108.33,-14762136096.64,13031595453.28,207080632.66,2109126726.79,,,,649657042.78,,,,,,1166000953.6,516343910.82,,,0
-300750.SZ,20180522,20180522,20151231,1,1,4,950581074.45,113184042.2,4153743551.55,670144.46,,,,,,,,,,,,221173494.7,4375587190.71,2302132506.69,437554338.26,474554245.93,,,,,,496812115.82,3711053206.7,664533984.01,1088566666.05,,,,,1088566666.05,1553786649.12,,173225298.0,2900000.0,,1729911947.12,-641345281.07,830867703.13,,893371268.45,1874742721.58,1290805842.4247,628641795.8,69496886.29,,736699312.71,1434837994.8,439904726.78,-800509.91,462292919.81,54050991.01,516343910.82,150503750.0,500000.0,,58641678.66,164100734.24,24986934.33,3237903.35,,,590103.88,,,-1455431.76,-110143619.54,-2194284.46,-697915929.01,-2315594532.87,2476515310.54,,664533984.01,,,,462292919.81,,,,,,516343910.82,54050991.01,,,0
-300750.SZ,20171110,20171110,20141231,1,1,4,55563800.0,24221600.0,732813440.92,4165547.69,,,,,,,,,,,,11345197.89,748324186.5,601009216.98,98419099.09,28689220.56,,,,,,159111051.94,887228588.57,-138904402.07,3180178.72,,,,,3180178.72,300525204.81,,,976061675.94,,1276586880.75,-1273406702.03,201635144.87,,1556561925.62,1782597070.49,,4760000.0,4752841.5,,307574012.42,317086853.92,1465510216.57,-4995362.09,48203750.38,5847240.63,54050991.01,24400000.0,24400000.0,,2591100.0,44569700.0,22656600.0,64800.0,,,102500.0,,,-16117600.0,-19814600.0,,-220368300.0,-313910300.0,281536200.0,,-138904400.0,,,,,,,,,,,,,,0

data/CN/300750.SZ/raw_historical_metrics_shareholder_number.csv

@@ -1,37 +0,0 @@
-ts_code,ann_date,end_date,holder_num
-300750.SZ,20250731,20250630,226368
-300750.SZ,20250415,20250331,226327
-300750.SZ,20250315,20250228,208828
-300750.SZ,20250315,20241231,212061
-300750.SZ,20241019,20240930,229043
-300750.SZ,20240727,20240630,237334
-300750.SZ,20240416,20240331,250264
-300750.SZ,20240316,20240229,260219
-300750.SZ,20240316,20231231,260992
-300750.SZ,20231020,20230930,233256
-300750.SZ,20230726,20230630,217464
-300750.SZ,20230421,20230331,206031
-300750.SZ,20230310,20230228,195845
-300750.SZ,20230310,20221231,183317
-300750.SZ,20221022,20220930,185383
-300750.SZ,20220824,20220630,150353
-300750.SZ,20220422,20220331,140911
-300750.SZ,20220430,20220331,140911
-300750.SZ,20220422,20211231,141963
-300750.SZ,20211028,20210930,134193
-300750.SZ,20210826,20210630,135198
-300750.SZ,20210430,20210331,182794
-300750.SZ,20210428,20210331,182794
-300750.SZ,20210428,20201231,133060
-300750.SZ,20201028,20200930,131130
-300750.SZ,20200827,20200630,121586
-300750.SZ,20200428,20200331,150855
-300750.SZ,20200425,20200331,150855
-300750.SZ,20200425,20191231,76710
-300750.SZ,20191026,20190930,94339
-300750.SZ,20190824,20190630,80513
-300750.SZ,20190427,20190331,76045
-300750.SZ,20190425,20181231,82514
-300750.SZ,20181026,20180930,99847
-300750.SZ,20180824,20180630,164739
-300750.SZ,20180608,20180611,368718

data/CN/300750.SZ/raw_income_statement.csv

@@ -1,53 +0,0 @@
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-300750.SZ,20200428,20200428,20200331,1,1,1,0.3406,0.3396,9030794052.46,9030794052.46,,,,,,,,,,,,,,,286915936.0,-348146749.47,-29567547.69,,8188919060.9,6764865485.58,,,54015270.55,352566282.28,412747503.97,-139684257.75,-96898077.07,,,,,,,,,,,1106046439.49,7194638.06,16264436.89,,1096976640.66,191963042.83,905013597.83,742043183.2,162970414.63,-118995658.48,786017939.35,651959025.75,134058913.6,1133338722.94,,,,,638663048.54,116204500.18,304532042.79,,,,,,,,,,,,,,,905013597.83,0
-300750.SZ,20200428,20200428,20200331,1,1,1,0.3406,0.3396,9030794052.46,9030794052.46,,,,,,,,,,,,,,,286915936.0,-348146749.47,-29567547.69,,8188919060.9,6764865485.58,,,54015270.55,352566282.28,412747503.97,-139684257.75,-96898077.07,,,,,,,,,,,1106046439.49,7194638.06,16264436.89,,1096976640.66,191963042.83,905013597.83,742043183.2,162970414.63,-118995658.48,786017939.35,651959025.75,134058913.6,1312818614.89,,,,,638663048.54,116204500.18,304532042.79,,,,,,,,,,,,,,,905013597.83,1
-300750.SZ,20200425,20200425,20191231,1,1,4,2.0937,2.0887,45788020642.41,45788020642.41,,,,,,,,,,,,,,,27331582.1,-79604902.02,-11899568.84,,40624707856.41,32482760512.62,,,272228105.62,2156553541.51,1832673929.87,-781621299.53,-1434329163.69,,,,,,,,,,,5758793258.1,62428112.63,60456806.48,,5760764564.25,748090666.38,5012673897.87,4560307432.71,452366465.16,957658852.86,5970332750.73,5517966285.57,452366465.16,5722463917.76,10131504260.02,,,,2992107516.52,289254465.49,1078256966.28,,,,,,,,,,,,,,,5012673897.87,0
-300750.SZ,20200425,20200425,20191231,1,1,4,2.0937,2.0887,45788020642.41,45788020642.41,,,,,,,,,,,,,,,27331582.1,-79604902.02,-11899568.84,,40624707856.41,32482760512.62,,,272228105.62,2156553541.51,1832673929.87,-781621299.53,-1434329163.69,,,,,,,,,,,5758793258.1,62428112.63,60456806.48,,5760764564.25,748090666.38,5012673897.87,4560307432.71,452366465.16,957658852.86,5970332750.73,5517966285.57,452366465.16,5722463917.76,10131504260.02,,,,2992107516.52,289254465.49,1078256966.28,,,,,,,,,,,,,,,5012673897.87,1
-300750.SZ,20191026,20191026,20190930,1,1,3,1.6002,1.5959,32855706536.08,32855706536.08,,,,,,,,,,,,,,,,-62620220.59,-7917302.55,,28894615247.49,23301405480.87,,,201508967.69,1477529588.94,1629018744.75,-632605668.62,-550692987.35,,,,,,,,,,,4446278015.84,46102640.95,34688668.76,,4457691988.03,697474456.56,3760217531.47,3464305267.56,295912263.91,971764392.34,4731981923.81,4436069659.9,295912263.91,5059302675.96,,,,,2255954070.6,192122654.09,828347798.84,,,,,,,,,,,,,,,3760217531.47,1
-300750.SZ,20191026,20191026,20190930,1,1,3,1.6002,1.5959,32855706536.08,32855706536.08,,,,,,,,,,,,,,,,-62620220.59,-7917302.55,,28894615247.49,23301405480.87,,,201508967.69,1477529588.94,1629018744.75,-632605668.62,-550692987.35,,,,,,,,,,,4446278015.84,46102640.95,34688668.76,,4457691988.03,697474456.56,3760217531.47,3464305267.56,295912263.91,971764392.34,4731981923.81,4436069659.9,295912263.91,4534188607.12,,,,,2255954070.6,192122654.09,828347798.84,,,,,,,,,,,,,,,3760217531.47,0
-300750.SZ,20190824,20190824,20190630,1,1,2,0.9674,0.9666,20263844170.44,20263844170.44,,,,,,,,,,,,,,,,-45894420.7,-6203272.34,,17726032155.44,14226726997.42,,,117905051.7,804073640.0,1061946966.06,-428054892.49,-421525991.07,,,,,,,,,,,2812549873.07,10005017.82,17588816.33,,2804966074.56,458470774.12,2346495300.44,2102435142.7,244060157.74,235561659.09,2582056959.53,2337996801.79,244060157.74,2945403830.85,4885886347.94,,,,1413111807.02,119945783.05,532991928.58,,,,,,,,,,,,,,,2346495300.44,0
-300750.SZ,20190427,20190427,20190331,1,1,1,0.48,0.48,9981855666.38,9981855666.38,,,,,,,,,,,,,,,,16802477.33,2097769.4,,8817890513.83,7116134804.4,,,86639222.05,401176198.42,525048115.72,-110462345.72,36205911.5,,,,,,,,,,,1321125127.01,6548666.78,5256479.6,,1322417314.19,205595113.39,1116822200.8,1047233226.95,69588973.85,161477040.74,1278299241.54,1208710267.69,69588973.85,1426164772.5,,,,,748586098.54,58662867.4,255070916.72,,,,,,,,,,,,,,,1116822200.8,0
-300750.SZ,20190425,20190425,20181231,1,1,4,1.6412,1.6407,29611265434.22,29611265434.22,,,,,,,,,,,,,,,-314247518.1,184397531.48,-4264014.31,,25729175371.38,19902284153.15,,,171183911.7,1378868425.55,1590659572.27,-279733226.14,974912150.01,,,,,,,,,,,4168476326.68,62303262.42,25966337.17,,4204813251.93,468916764.21,3735896487.72,3387035207.64,348861280.08,-585339219.51,3150557268.21,2801695988.13,348861280.08,4110132051.73,6414353208.21,,,,1991000384.84,204435332.83,565817388.3,,,,,,,,,,,,,,,3735896487.72,0
-300750.SZ,20190425,20190425,20181231,1,1,4,1.6412,1.6407,29611265434.22,29611265434.22,,,,,,,,,,,,,,,-314247518.1,184397531.48,-4264014.31,,25729175371.38,19902284153.15,,,171183911.7,1378868425.55,1590659572.27,-279733226.14,974912150.01,,,,,,,,,,,4168476326.68,62303262.42,25966337.17,,4204813251.93,468916764.21,3735896487.72,3387035207.64,348861280.08,-585339219.51,3150557268.21,2801695988.13,348861280.08,4110132051.73,6414353208.21,,,,1991000384.84,204435332.83,565817388.3,,,,,,,,,,,,,,,3735896487.72,1
-300750.SZ,20181026,20181026,20180930,1,1,3,1.17,1.17,19135923760.37,19135923760.37,,,,,,,,,,,,,,,,69427412.54,9583242.07,,16534427281.6,13150477803.26,,,101462647.63,846876034.25,983822491.58,-150717424.86,454657985.55,,,,,,,,,,,3071726107.71,15983636.65,4285602.67,,3083424141.69,441187671.13,2642236470.56,2378500010.06,263736460.5,-208586704.74,2433649765.82,2169913305.32,263736460.5,3467983671.62,,,,,1147847744.19,234936100.17,369419073.26,,,,,,,,,,,,,,,2642236470.56,1
-300750.SZ,20181026,20181026,20180930,1,1,3,1.17,1.17,19135923760.37,19135923760.37,,,,,,,,,,,,,,,,69427412.54,9583242.07,,16534427281.6,13150477803.26,,,101462647.63,846876034.25,983822491.58,-150717424.86,454657985.55,,,,,,,,,,,3071726107.71,15983636.65,4285602.67,,3083424141.69,441187671.13,2642236470.56,2378500010.06,263736460.5,-208586704.74,2433649765.82,2169913305.32,263736460.5,3467983671.62,,,,,1147847744.19,234936100.17,369419073.26,,,,,,,,,,,,,,,2642236470.56,0
-300750.SZ,20180824,20180824,20180630,1,1,2,0.4659,,9359580668.12,9359580668.12,,,,,,,,,,,,,,,,59838864.61,20009437.82,,8420213004.66,6431566540.72,,,35368966.71,448795383.07,1320335349.34,-22979347.63,207126112.45,,,,,,,,,,,1215792945.89,8159715.82,3277772.87,,1220674888.84,150781194.54,1069893694.3,910954288.0,158939406.3,-176351133.34,893542560.96,734603154.66,158939406.3,1135419727.12,2153190022.79,,,,,,,,,,,,,,,,,,,,,1069893694.3,0
-300750.SZ,20180522,20180522,20180331,1,1,1,0.212,,3711641230.77,3711641230.77,,,,,,,,,,,,,,,,27972938.86,12043585.12,,3353698085.04,2495640398.99,,,14792182.15,147749265.04,565033595.37,2765177.74,127717465.75,,,,,,,,,,,539889042.27,3447660.53,2328501.22,,541008201.58,71743712.87,469264488.71,413347159.22,55917329.49,3179274.31,472443763.02,416526433.53,55917329.49,642726969.9,,,,,,,,,,,,,,,,,,,,,,469264488.71,0
-300750.SZ,20180522,20180522,20171231,1,1,4,2.0084,,19996860806.33,19996860806.33,,,,,,,,,,,,,,,,1344305303.77,-49976783.37,,16875255721.27,12740187148.7,,,95900521.0,795766091.83,2956488278.51,42169650.35,244744030.88,,,,,,,,,,,4832020495.66,18655542.93,2575814.31,,4848100224.28,654043646.62,4194056577.66,3877954869.7,316101707.96,246933121.24,4440989698.9,4124887990.94,316101707.96,3608196383.76,4989378148.98,,,,,,,,,,,,,,,,,,,,,4194056577.66,0
-300750.SZ,20181026,20181026,20170930,1,1,3,1.33,1.33,11970899899.45,11970899899.45,,,,,,,,,,,,,,,,1344112981.19,-19477989.06,,10402804866.65,7697664142.61,,,44337735.52,504161719.26,905233643.98,57697766.78,115122025.1,,,,,,,,,,,3293200146.4,13549843.33,4540268.55,,3302209721.18,470922060.98,2831287660.2,2570510205.15,260777455.05,344145542.58,3175433202.78,2914655747.73,260777455.05,2071982527.37,,,,,1078587833.4,85878529.21,33616243.84,,,,,,,,,,,,,,,2831287660.2,1
-300750.SZ,20181026,20181026,20170930,1,1,3,1.33,1.33,11970899899.45,11970899899.45,,,,,,,,,,,,,,,,1344112981.19,-19477989.06,,10402804866.65,7697664142.61,,,44337735.52,504161719.26,905233643.98,57697766.78,115122025.1,,,,,,,,,,,3293200146.4,13549843.33,4540268.55,,3302209721.18,470922060.98,2831287660.2,2570510205.15,260777455.05,344145542.58,3175433202.78,2914655747.73,260777455.05,2124244812.74,,,,,1078587833.4,85878529.21,33616243.84,,,,,,,,,,,,,,,2831287660.2,0
-300750.SZ,20171110,20171110,20170630,1,1,2,0.974,,6294695149.0,6294695149.0,,,,,,,,,,,,,,,,1245985248.03,-13175301.07,,5484178667.47,3934602921.36,,,24025547.56,269397374.58,1158841331.86,48134260.94,49177231.17,,,,,,,,,,,2328662915.71,6979859.43,2825898.64,2284479.0,2332816876.5,312073095.21,2020743781.29,1856935080.43,163808700.86,311938229.49,2332682010.78,2168873309.92,163808700.86,1179989159.79,1694788459.79,,,,,,,,,,,,,,,,,,,,,,0
-300750.SZ,20180522,20180522,20170331,1,1,1,-0.0189,,1454385691.84,1454385691.84,,,,,,,,,,,,,,,,85172231.78,-12978308.38,,1551974320.73,905259335.22,,,4410984.45,74633237.11,538433567.86,29237196.09,,,,,,,,,,,,-12738473.39,43140845.75,31953.67,,30370418.69,13875218.84,16495199.85,-11687915.1,35990121.09,81363.73,24383569.72,-11606551.37,35990121.09,-68351432.8,,,,,,,,,,,,,,,,,,,,,,16495199.85,0
-300750.SZ,20180522,20180522,20161231,1,1,4,1.8736,,14878985098.12,14878985098.12,,,,,,,,,,,,,,,,76080348.84,21669756.19,,11584739495.37,8376801892.4,,,109215284.54,632190722.09,2152228887.34,80443838.96,233858870.04,,,,,,,,,,,3212120702.65,188974466.62,881463.97,,3400213705.3,481776851.01,2918436854.29,2851821419.26,66615435.03,888062.23,2919324916.52,2852709481.49,66615435.03,3374689441.71,4159176537.97,,,,,,,,,,,,,,,,,,,,,2918436854.29,0
-300750.SZ,20161001,20161001,20160630,1,1,2,,,4786106400.0,4786106400.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,995792500.0,,,,,,4786106400.0,4786106400.0,,,,,,,,,,,,,,,,,,,,,,0
-300750.SZ,20160729,20160729,20160331,1,1,1,,,2088372900.0,2088372900.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,476764100.0,,,,,,2088372900.0,,,,,,,,,,,,,,,,,,,,,,,0
-300750.SZ,20180522,20180522,20151231,1,1,4,0.7755,,5702884874.34,5702884874.34,,,,,,,,,,,,,,,,1455431.76,-9658518.48,,4658155646.48,3499202013.73,,,39629825.6,330920265.24,620575323.94,109186539.31,58641678.66,,,,,,,,,,,1045594555.74,71190367.14,16752779.33,,1100032143.55,149451069.1,950581074.45,930646375.1,19934699.35,494869.71,951075944.16,931141244.81,19934699.35,1153915767.17,1346241339.09,,,,,,,,,,,,,,,,,,,,,950581074.45,0
-300750.SZ,20171110,20171110,20141231,1,1,4,,,866786361.55,866786361.55,,,,,,,,,,,,,,,,16117579.09,13024101.96,,866520694.75,643729807.47,,,10300.8,43294226.16,152321605.53,24573664.53,2591090.26,,,,,,,,,,,16383245.89,46216154.07,169330.58,102484.05,62430069.38,6866277.79,55563791.59,54425751.28,1138040.31,183958.4,55747749.99,54609709.68,1138040.31,27430421.59,94721521.59,,,,,,,,,,,,,,,,,,,,,,0

data/CN/300750.SZ/raw_market_metrics_daily_basic.csv

@@ -1,2 +0,0 @@
-ts_code,trade_date,close,turnover_rate,turnover_rate_f,volume_ratio,pe,pe_ttm,pb,ps,ps_ttm,dv_ratio,dv_ttm,total_share,float_share,free_share,total_mv,circ_mv
-300750.SZ,20251217,383.42,0.5229,0.7917,1.02,34.482,27.4356,5.5664,4.8335,4.5326,1.3053,1.7624,456360.8365,425638.1966,281128.807,174977871.9308,163198197.3404

data/CN/300750.SZ/raw_market_metrics_stock_basic.csv

@@ -1,2 +0,0 @@
-name,list_date
-宁德时代,20180611

data/CN/300750.SZ/report.html

@@ -1,702 +0,0 @@
-<html><head><title>Financial Report</title><style>
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-<h1>Financial Report</h1>
-<table class='info-table'>
-<tr>
-<td class='info-label'>代码</td><td class='info-label'>简称</td><td class='info-label'>日期</td><td class='info-label'>上市日期</td><td class='info-label'>PE</td><td class='info-label'>PB</td><td class='info-label'>股息率(%)</td>
-</tr>
-<tr>
-<td>300750.SZ</td><td>宁德时代</td><td>2025-12-17</td><td>2018-06-11</td><td>34.48</td><td>5.57</td><td>1.76%</td>
-</tr>
-</table>
-<div style='overflow-x: auto;'>
-<table class='fin-table'>
-<thead><tr><th class='row-header'>指标</th>
-<th>2025-09-30</th>
-<th>2024-12-31</th>
-<th>2023-12-31</th>
-<th>2022-12-31</th>
-<th>2021-12-31</th>
-<th>2020-12-31</th>
-<th>2019-12-31</th>
-<th>2018-12-31</th>
-<th>2017-12-31</th>
-<th>2015-12-31</th>
-</tr></thead>
-<tbody>
-<tr><td class='group-header'>主要指标</td><td class='group-header' colspan='10' style='position: relative; border-bottom: 2px solid #ddd;'></td></tr>
-<tr class='hover-row'>
-<td class='row-header'>ROE</td>
-<td class='bg-green'>15.60%</td>
-<td class='bg-green'>20.55%</td>
-<td class='bg-green'>22.32%</td>
-<td class='bg-green'>18.68%</td>
-<td class='bg-green'>18.85%</td>
-<td class=''>8.70%</td>
-<td class=''>11.96%</td>
-<td class=''>10.28%</td>
-<td class='bg-green'>15.70%</td>
-<td class='bg-green'>74.23%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>ROA</td>
-<td class=''>5.47%</td>
-<td class=''>6.45%</td>
-<td class=''>6.15%</td>
-<td class=''>5.11%</td>
-<td class=''>5.18%</td>
-<td class=''>3.56%</td>
-<td class=''>4.50%</td>
-<td class=''>4.58%</td>
-<td class=''>7.81%</td>
-<td class='bg-green'>10.73%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>ROCE/ROIC</td>
-<td class='bg-green'>16.36%</td>
-<td class='bg-green'>24.89%</td>
-<td class='bg-green'>25.89%</td>
-<td class='bg-green'>19.09%</td>
-<td class='bg-green'>21.44%</td>
-<td class=''>9.80%</td>
-<td class='bg-green'>15.01%</td>
-<td class=''>12.48%</td>
-<td class=''>14.61%</td>
-<td class='bg-green'>92.04%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>毛利率</td>
-<td class=''>25.31%</td>
-<td class=''>24.44%</td>
-<td class=''>22.91%</td>
-<td class=''>20.25%</td>
-<td class=''>26.28%</td>
-<td class=''>27.76%</td>
-<td class=''>29.06%</td>
-<td class=''>32.79%</td>
-<td class='bg-green'>36.29%</td>
-<td class='bg-green'>38.64%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>净利润率</td>
-<td class='bg-green'>17.32%</td>
-<td class=''>14.02%</td>
-<td class=''>11.01%</td>
-<td class=''>9.35%</td>
-<td class=''>12.22%</td>
-<td class=''>11.10%</td>
-<td class=''>9.96%</td>
-<td class=''>11.44%</td>
-<td class='bg-green'>19.39%</td>
-<td class='bg-green'>16.32%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>收入</td>
-<td class=''>2,830.72</td>
-<td class=''>3,620.13</td>
-<td class=''>4,009.17</td>
-<td class=''>3,285.94</td>
-<td class=''>1,303.56</td>
-<td class=''>503.19</td>
-<td class=''>457.88</td>
-<td class=''>296.11</td>
-<td class=''>199.97</td>
-<td class=''>57.03</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>收入增速</td>
-<td class='text-blue-i'>9.28%</td>
-<td class='text-red italic'>-9.70%</td>
-<td class='bg-green italic'>22.01%</td>
-<td class='bg-green italic'>152.07%</td>
-<td class='bg-green italic'>159.06%</td>
-<td class='text-blue-i'>9.90%</td>
-<td class='bg-green italic'>54.63%</td>
-<td class='bg-green italic'>48.08%</td>
-<td class='bg-green italic'>34.40%</td>
-<td class='bg-green italic'>557.93%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>净利润</td>
-<td class=''>490.34</td>
-<td class=''>507.45</td>
-<td class=''>441.21</td>
-<td class=''>307.29</td>
-<td class=''>159.31</td>
-<td class=''>55.83</td>
-<td class=''>45.60</td>
-<td class=''>33.87</td>
-<td class=''>38.78</td>
-<td class=''>9.31</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>净利润增速</td>
-<td class='bg-green italic'>36.20%</td>
-<td class='bg-green italic'>15.01%</td>
-<td class='bg-green italic'>43.58%</td>
-<td class='bg-green italic'>92.89%</td>
-<td class='bg-green italic'>185.34%</td>
-<td class='bg-green italic'>22.43%</td>
-<td class='bg-green italic'>34.64%</td>
-<td class='text-red italic'>-12.66%</td>
-<td class='bg-green italic'>35.98%</td>
-<td class='bg-green italic'>1609.94%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>经营净现金流</td>
-<td class=''>806.60</td>
-<td class=''>969.90</td>
-<td class=''>928.26</td>
-<td class=''>612.09</td>
-<td class=''>429.08</td>
-<td class=''>184.30</td>
-<td class=''>134.72</td>
-<td class=''>113.16</td>
-<td class=''>23.41</td>
-<td class=''>6.65</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>资本开支</td>
-<td class=''>300.88</td>
-<td class=''>311.80</td>
-<td class=''>336.25</td>
-<td class=''>482.15</td>
-<td class=''>437.68</td>
-<td class=''>133.02</td>
-<td class=''>96.27</td>
-<td class=''>66.29</td>
-<td class=''>71.80</td>
-<td class=''>15.54</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>自由现金流</td>
-<td class='bg-green'>505.73</td>
-<td class='bg-green'>658.10</td>
-<td class='bg-green'>592.01</td>
-<td class=''>129.94</td>
-<td class='bg-red'>-8.60</td>
-<td class=''>51.28</td>
-<td class=''>38.45</td>
-<td class='bg-green'>46.87</td>
-<td class='bg-red'>-48.40</td>
-<td class='bg-red'>-8.89</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>分红</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>总资产</td>
-<td class=''>8,960.82</td>
-<td class=''>7,866.58</td>
-<td class=''>7,171.68</td>
-<td class=''>6,009.52</td>
-<td class=''>3,076.67</td>
-<td class=''>1,566.18</td>
-<td class=''>1,013.52</td>
-<td class=''>738.84</td>
-<td class=''>496.63</td>
-<td class=''>86.73</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>净资产</td>
-<td class=''>3,142.48</td>
-<td class=''>2,469.30</td>
-<td class=''>1,977.08</td>
-<td class=''>1,644.81</td>
-<td class=''>845.13</td>
-<td class=''>642.07</td>
-<td class=''>381.35</td>
-<td class=''>329.38</td>
-<td class=''>247.01</td>
-<td class=''>12.54</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>商誉</td>
-<td class=''>8.91</td>
-<td class=''>8.95</td>
-<td class=''>7.08</td>
-<td class=''>7.04</td>
-<td class=''>5.28</td>
-<td class=''>1.48</td>
-<td class=''>1.48</td>
-<td class=''>1.00</td>
-<td class=''>1.00</td>
-<td class=''>1.00</td>
-</tr>
-<tr><td class='group-header'>费用指标</td><td class='group-header' colspan='10' style='position: relative; border-bottom: 2px solid #ddd;'></td></tr>
-<tr class='hover-row'>
-<td class='row-header'>销售费用率</td>
-<td class=''>0.85%</td>
-<td class=''>0.98%</td>
-<td class=''>4.48%</td>
-<td class=''>3.38%</td>
-<td class=''>3.35%</td>
-<td class=''>4.41%</td>
-<td class=''>4.71%</td>
-<td class=''>4.66%</td>
-<td class=''>3.98%</td>
-<td class=''>5.80%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>管理费用率</td>
-<td class=''>2.91%</td>
-<td class=''>2.68%</td>
-<td class=''>2.11%</td>
-<td class=''>2.12%</td>
-<td class=''>2.58%</td>
-<td class=''>3.51%</td>
-<td class=''>4.00%</td>
-<td class=''>5.37%</td>
-<td class=''>14.78%</td>
-<td class=''>10.88%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>研发费用率</td>
-<td class=''>5.32%</td>
-<td class=''>5.14%</td>
-<td class=''>4.58%</td>
-<td class=''>4.72%</td>
-<td class=''>5.90%</td>
-<td class=''>7.09%</td>
-<td class=''>6.53%</td>
-<td class=''>6.72%</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>其他费用率</td>
-<td class=''>-1.09%</td>
-<td class=''>1.63%</td>
-<td class=''>0.74%</td>
-<td class=''>0.68%</td>
-<td class=''>2.23%</td>
-<td class=''>1.66%</td>
-<td class=''>3.85%</td>
-<td class=''>4.60%</td>
-<td class=''>-1.87%</td>
-<td class=''>5.64%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>折旧费用占比</td>
-<td>-</td>
-<td class=''>6.20%</td>
-<td class=''>5.26%</td>
-<td class=''>3.64%</td>
-<td class=''>4.49%</td>
-<td class=''>9.10%</td>
-<td class=''>9.04%</td>
-<td class=''>7.18%</td>
-<td class=''>6.40%</td>
-<td class=''>2.88%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>所得税率</td>
-<td class=''>13.86%</td>
-<td class=''>14.52%</td>
-<td class=''>13.27%</td>
-<td class=''>8.77%</td>
-<td class=''>10.19%</td>
-<td class=''>12.58%</td>
-<td class=''>12.99%</td>
-<td class=''>11.15%</td>
-<td class=''>13.49%</td>
-<td class=''>13.59%</td>
-</tr>
-<tr><td class='group-header'>资产占比</td><td class='group-header' colspan='10' style='position: relative; border-bottom: 2px solid #ddd;'></td></tr>
-<tr class='hover-row'>
-<td class='row-header'>现金占比</td>
-<td class='bg-red'>36.18%</td>
-<td class='bg-red'>38.58%</td>
-<td class='bg-red'>36.85%</td>
-<td class='bg-red'>31.79%</td>
-<td class=''>28.95%</td>
-<td class='bg-red'>43.69%</td>
-<td class='bg-red'>31.84%</td>
-<td class='bg-red'>37.53%</td>
-<td class=''>28.35%</td>
-<td class=''>14.91%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>库存占比</td>
-<td class=''>8.95%</td>
-<td class=''>7.61%</td>
-<td class=''>6.34%</td>
-<td class=''>12.76%</td>
-<td class=''>13.07%</td>
-<td class=''>8.44%</td>
-<td class=''>11.33%</td>
-<td class=''>9.58%</td>
-<td class=''>6.88%</td>
-<td class=''>12.01%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>应收款占比</td>
-<td class=''>7.42%</td>
-<td class=''>8.15%</td>
-<td class=''>8.93%</td>
-<td class=''>9.65%</td>
-<td class=''>7.72%</td>
-<td class=''>7.21%</td>
-<td class=''>8.23%</td>
-<td class=''>8.43%</td>
-<td class=''>13.93%</td>
-<td class=''>27.60%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>预付款占比</td>
-<td class=''>1.51%</td>
-<td class=''>0.76%</td>
-<td class=''>0.97%</td>
-<td class=''>2.64%</td>
-<td class=''>2.10%</td>
-<td class=''>0.64%</td>
-<td class=''>0.53%</td>
-<td class=''>1.17%</td>
-<td class=''>0.62%</td>
-<td class=''>0.81%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>固定资产占比</td>
-<td class=''>14.35%</td>
-<td class=''>14.31%</td>
-<td class=''>16.09%</td>
-<td class=''>14.82%</td>
-<td class=''>13.42%</td>
-<td class=''>12.53%</td>
-<td class=''>17.19%</td>
-<td class=''>15.67%</td>
-<td class=''>16.55%</td>
-<td class=''>15.14%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>长期投资占比</td>
-<td class=''>6.68%</td>
-<td class=''>6.97%</td>
-<td class=''>6.98%</td>
-<td class=''>2.93%</td>
-<td class=''>3.56%</td>
-<td class=''>3.07%</td>
-<td class=''>1.52%</td>
-<td class=''>1.31%</td>
-<td class=''>1.59%</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>商誉占比</td>
-<td class=''>0.10%</td>
-<td class=''>0.11%</td>
-<td class=''>0.10%</td>
-<td class=''>0.12%</td>
-<td class=''>0.17%</td>
-<td class=''>0.09%</td>
-<td class=''>0.15%</td>
-<td class=''>0.14%</td>
-<td class=''>0.20%</td>
-<td class=''>1.16%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>其他资产占比</td>
-<td class='bg-khaki'>24.80%</td>
-<td class='bg-khaki'>23.51%</td>
-<td class='bg-khaki'>23.75%</td>
-<td class='bg-khaki'>25.30%</td>
-<td class='bg-khaki'>31.02%</td>
-<td class='bg-khaki'>24.32%</td>
-<td class='bg-khaki'>29.22%</td>
-<td class='bg-khaki'>26.19%</td>
-<td class='bg-khaki'>31.87%</td>
-<td class='bg-khaki'>28.37%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>应付款占比</td>
-<td class=''>14.73%</td>
-<td class=''>16.65%</td>
-<td class=''>16.32%</td>
-<td class=''>15.73%</td>
-<td class=''>15.86%</td>
-<td class=''>9.98%</td>
-<td class=''>10.55%</td>
-<td class=''>9.55%</td>
-<td class=''>10.02%</td>
-<td class=''>16.98%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>预收款占比</td>
-<td class=''>4.54%</td>
-<td class=''>3.54%</td>
-<td class=''>3.34%</td>
-<td class=''>3.73%</td>
-<td class=''>3.75%</td>
-<td class=''>4.39%</td>
-<td class=''>6.08%</td>
-<td class=''>6.76%</td>
-<td class=''>0.41%</td>
-<td class=''>1.96%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>短期借款占比</td>
-<td class=''>4.50%</td>
-<td class=''>5.41%</td>
-<td class=''>3.09%</td>
-<td class=''>3.60%</td>
-<td class=''>5.09%</td>
-<td class=''>4.91%</td>
-<td class=''>3.16%</td>
-<td class=''>2.85%</td>
-<td class=''>5.26%</td>
-<td class=''>21.90%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>长期借款占比</td>
-<td class=''>8.75%</td>
-<td class=''>10.33%</td>
-<td class=''>11.64%</td>
-<td class=''>9.83%</td>
-<td class=''>7.19%</td>
-<td class=''>3.87%</td>
-<td class=''>4.91%</td>
-<td class=''>4.72%</td>
-<td class=''>4.29%</td>
-<td class=''>0.00%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>运营资产占比</td>
-<td class='bg-green'>-1.38%</td>
-<td class='bg-green'>-3.67%</td>
-<td class='bg-green'>-3.43%</td>
-<td class=''>5.57%</td>
-<td class=''>3.28%</td>
-<td class=''>1.92%</td>
-<td class=''>3.46%</td>
-<td class=''>2.86%</td>
-<td class=''>11.00%</td>
-<td class=''>21.49%</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>有息负债率</td>
-<td class=''>13.25%</td>
-<td class=''>15.74%</td>
-<td class=''>14.73%</td>
-<td class=''>13.44%</td>
-<td class=''>12.28%</td>
-<td class=''>8.78%</td>
-<td class=''>8.07%</td>
-<td class=''>7.58%</td>
-<td class=''>9.54%</td>
-<td class=''>21.90%</td>
-</tr>
-<tr><td class='group-header'>周转能力</td><td class='group-header' colspan='10' style='position: relative; border-bottom: 2px solid #ddd;'></td></tr>
-<tr class='hover-row'>
-<td class='row-header'>存货周转天数</td>
-<td class=''>138</td>
-<td class=''>79</td>
-<td class=''>53</td>
-<td class=''>106</td>
-<td class=''>152</td>
-<td class=''>132</td>
-<td class=''>129</td>
-<td class=''>129</td>
-<td class=''>97</td>
-<td class=''>108</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>应收款周转天数</td>
-<td class=''>85</td>
-<td class=''>64</td>
-<td class=''>58</td>
-<td class=''>64</td>
-<td class=''>66</td>
-<td class=''>81</td>
-<td class=''>66</td>
-<td class=''>76</td>
-<td class='bg-red'>126</td>
-<td class='bg-red'>153</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>应付款周转天数</td>
-<td class=''>227</td>
-<td class=''>174</td>
-<td class=''>138</td>
-<td class=''>131</td>
-<td class=''>185</td>
-<td class=''>156</td>
-<td class=''>120</td>
-<td class=''>129</td>
-<td class=''>142</td>
-<td class=''>153</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>固定资产周转率</td>
-<td class=''>2.20</td>
-<td class=''>3.22</td>
-<td class=''>3.47</td>
-<td class=''>3.69</td>
-<td class=''>3.16</td>
-<td class=''>2.56</td>
-<td class=''>2.63</td>
-<td class=''>2.56</td>
-<td class=''>2.43</td>
-<td class=''>4.34</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>总资产周转率</td>
-<td class=''>0.32</td>
-<td class=''>0.46</td>
-<td class=''>0.56</td>
-<td class=''>0.55</td>
-<td class=''>0.42</td>
-<td class=''>0.32</td>
-<td class=''>0.45</td>
-<td class=''>0.40</td>
-<td class=''>0.40</td>
-<td class=''>0.66</td>
-</tr>
-<tr><td class='group-header'>人均效率</td><td class='group-header' colspan='10' style='position: relative; border-bottom: 2px solid #ddd;'></td></tr>
-<tr class='hover-row'>
-<td class='row-header'>员工人数</td>
-<td>-</td>
-<td class=''>131,988</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>人均创收(万)</td>
-<td>-</td>
-<td class=''>274.28</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>人均创利(万)</td>
-<td>-</td>
-<td class=''>38.45</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>人均薪酬(万)</td>
-<td>-</td>
-<td class=''>19.32</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr><td class='group-header'>市场表现</td><td class='group-header' colspan='10' style='position: relative; border-bottom: 2px solid #ddd;'></td></tr>
-<tr class='hover-row'>
-<td class='row-header'>股价</td>
-<td class=''>402.00</td>
-<td class=''>266.00</td>
-<td class=''>163.26</td>
-<td class=''>393.42</td>
-<td class=''>588.00</td>
-<td class=''>351.11</td>
-<td class=''>106.40</td>
-<td class=''>73.80</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>市值(亿)</td>
-<td class=''>18,338</td>
-<td class=''>11,713</td>
-<td class=''>7,182</td>
-<td class=''>9,609</td>
-<td class=''>13,705</td>
-<td class=''>8,179</td>
-<td class=''>2,350</td>
-<td class=''>1,620</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>PE</td>
-<td class=''>36.14</td>
-<td class=''>26.55</td>
-<td class=''>23.37</td>
-<td class=''>60.32</td>
-<td class=''>245.47</td>
-<td class=''>179.35</td>
-<td class=''>69.37</td>
-<td class=''>41.77</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>PB</td>
-<td class=''>6.32</td>
-<td class=''>4.94</td>
-<td class=''>3.98</td>
-<td class=''>6.40</td>
-<td class=''>18.74</td>
-<td class=''>13.33</td>
-<td class=''>6.36</td>
-<td class=''>5.01</td>
-<td>-</td>
-<td>-</td>
-</tr>
-<tr class='hover-row'>
-<td class='row-header'>股东户数</td>
-<td class=''>226,368</td>
-<td class=''>212,061</td>
-<td class=''>260,992</td>
-<td class=''>183,317</td>
-<td class=''>141,963</td>
-<td class=''>133,060</td>
-<td class=''>76,710</td>
-<td class=''>82,514</td>
-<td>-</td>
-<td>-</td>
-</tr>
-</tbody></table></div></body></html>

data/CN/300750.SZ/report.md

@@ -1,88 +0,0 @@
-# 宁德时代 (300750.SZ) - Financial Report
-*Report generated on: 2025-12-17*
-
-| 代码 | 简称 | 上市日期 | PE | PB | 股息率(%) |
-|:---|:---|:---|:---|:---|:---|
-| 300750.SZ | 宁德时代 | 2018-06-11 | 34.48 | 5.57 | 1.76% |
-
-
-## 主要指标
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2015-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| ROE | 15.60% | 20.55% | 22.32% | 18.68% | 18.85% | 8.70% | 11.96% | 10.28% | 15.70% | 74.23% |
-| ROA | 5.47% | 6.45% | 6.15% | 5.11% | 5.18% | 3.56% | 4.50% | 4.58% | 7.81% | 10.73% |
-| ROCE/ROIC | 16.36% | 24.89% | 25.89% | 19.09% | 21.44% | 9.80% | 15.01% | 12.48% | 14.61% | 92.04% |
-| 毛利率 | 25.31% | 24.44% | 22.91% | 20.25% | 26.28% | 27.76% | 29.06% | 32.79% | 36.29% | 38.64% |
-| 净利润率 | 17.32% | 14.02% | 11.01% | 9.35% | 12.22% | 11.10% | 9.96% | 11.44% | 19.39% | 16.32% |
-| 收入(亿) | 2,830.72 | 3,620.13 | 4,009.17 | 3,285.94 | 1,303.56 | 503.19 | 457.88 | 296.11 | 199.97 | 57.03 |
-| 收入增速 | 9.28% | -9.70% | 22.01% | 152.07% | 159.06% | 9.90% | 54.63% | 48.08% | 34.40% | 557.93% |
-| 净利润(亿) | 490.34 | 507.45 | 441.21 | 307.29 | 159.31 | 55.83 | 45.60 | 33.87 | 38.78 | 9.31 |
-| 净利润增速 | 36.20% | 15.01% | 43.58% | 92.89% | 185.34% | 22.43% | 34.64% | -12.66% | 35.98% | 1609.94% |
-| 经营净现金流(亿) | 806.60 | 969.90 | 928.26 | 612.09 | 429.08 | 184.30 | 134.72 | 113.16 | 23.41 | 6.65 |
-| 资本开支(亿) | 300.88 | 311.80 | 336.25 | 482.15 | 437.68 | 133.02 | 96.27 | 66.29 | 71.80 | 15.54 |
-| 自由现金流(亿) | 505.73 | 658.10 | 592.01 | 129.94 | -8.60 | 51.28 | 38.45 | 46.87 | -48.40 | -8.89 |
-| 分红(亿) | - | - | - | - | - | - | - | - | - | - |
-| 总资产(亿) | 8,960.82 | 7,866.58 | 7,171.68 | 6,009.52 | 3,076.67 | 1,566.18 | 1,013.52 | 738.84 | 496.63 | 86.73 |
-| 净资产(亿) | 3,142.48 | 2,469.30 | 1,977.08 | 1,644.81 | 845.13 | 642.07 | 381.35 | 329.38 | 247.01 | 12.54 |
-| 商誉(亿) | 8.91 | 8.95 | 7.08 | 7.04 | 5.28 | 1.48 | 1.48 | 1.00 | 1.00 | 1.00 |
-
-
-## 费用指标
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2015-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 销售费用率 | 0.85% | 0.98% | 4.48% | 3.38% | 3.35% | 4.41% | 4.71% | 4.66% | 3.98% | 5.80% |
-| 管理费用率 | 2.91% | 2.68% | 2.11% | 2.12% | 2.58% | 3.51% | 4.00% | 5.37% | 14.78% | 10.88% |
-| SG&A比例 | 3.76% | 3.66% | 6.59% | 5.50% | 5.94% | 7.92% | 8.71% | 10.03% | 18.76% | 16.68% |
-| 研发费用率 | 5.32% | 5.14% | 4.58% | 4.72% | 5.90% | 7.09% | 6.53% | 6.72% | - | - |
-| 其他费用率 | -1.09% | 1.63% | 0.74% | 0.68% | 2.23% | 1.66% | 3.85% | 4.60% | -1.87% | 5.64% |
-| 折旧费用占比 | - | 6.20% | 5.26% | 3.64% | 4.49% | 9.10% | 9.04% | 7.18% | 6.40% | 2.88% |
-| 所得税率 | 13.86% | 14.52% | 13.27% | 8.77% | 10.19% | 12.58% | 12.99% | 11.15% | 13.49% | 13.59% |
-
-
-## 资产占比
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2015-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 现金占比 | 36.18% | 38.58% | 36.85% | 31.79% | 28.95% | 43.69% | 31.84% | 37.53% | 28.35% | 14.91% |
-| 库存占比 | 8.95% | 7.61% | 6.34% | 12.76% | 13.07% | 8.44% | 11.33% | 9.58% | 6.88% | 12.01% |
-| 应收款占比 | 7.42% | 8.15% | 8.93% | 9.65% | 7.72% | 7.21% | 8.23% | 8.43% | 13.93% | 27.60% |
-| 预付款占比 | 1.51% | 0.76% | 0.97% | 2.64% | 2.10% | 0.64% | 0.53% | 1.17% | 0.62% | 0.81% |
-| 固定资产占比 | 14.35% | 14.31% | 16.09% | 14.82% | 13.42% | 12.53% | 17.19% | 15.67% | 16.55% | 15.14% |
-| 长期投资占比 | 6.68% | 6.97% | 6.98% | 2.93% | 3.56% | 3.07% | 1.52% | 1.31% | 1.59% | - |
-| 商誉占比 | 0.10% | 0.11% | 0.10% | 0.12% | 0.17% | 0.09% | 0.15% | 0.14% | 0.20% | 1.16% |
-| 其他资产占比 | 24.80% | 23.51% | 23.75% | 25.30% | 31.02% | 24.32% | 29.22% | 26.19% | 31.87% | 28.37% |
-| 应付款占比 | 14.73% | 16.65% | 16.32% | 15.73% | 15.86% | 9.98% | 10.55% | 9.55% | 10.02% | 16.98% |
-| 预收款占比 | 4.54% | 3.54% | 3.34% | 3.73% | 3.75% | 4.39% | 6.08% | 6.76% | 0.41% | 1.96% |
-| 短期借款占比 | 4.50% | 5.41% | 3.09% | 3.60% | 5.09% | 4.91% | 3.16% | 2.85% | 5.26% | 21.90% |
-| 长期借款占比 | 8.75% | 10.33% | 11.64% | 9.83% | 7.19% | 3.87% | 4.91% | 4.72% | 4.29% | 0.00% |
-| 运营资产占比 | -1.38% | -3.67% | -3.43% | 5.57% | 3.28% | 1.92% | 3.46% | 2.86% | 11.00% | 21.49% |
-| 有息负债率 | 13.25% | 15.74% | 14.73% | 13.44% | 12.28% | 8.78% | 8.07% | 7.58% | 9.54% | 21.90% |
-
-
-## 周转能力
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2015-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 存货周转天数 | 138 | 79 | 53 | 106 | 152 | 132 | 129 | 129 | 97 | 108 |
-| 应收款周转天数 | 85 | 64 | 58 | 64 | 66 | 81 | 66 | 76 | 126 | 153 |
-| 应付款周转天数 | 227 | 174 | 138 | 131 | 185 | 156 | 120 | 129 | 142 | 153 |
-| 固定资产周转率 | 2.20 | 3.22 | 3.47 | 3.69 | 3.16 | 2.56 | 2.63 | 2.56 | 2.43 | 4.34 |
-| 总资产周转率 | 0.32 | 0.46 | 0.56 | 0.55 | 0.42 | 0.32 | 0.45 | 0.40 | 0.40 | 0.66 |
-
-
-## 人均效率
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2015-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 员工人数 | - | 131,988 | - | - | - | - | - | - | - | - |
-| 人均创收(万) | - | 274.28 | - | - | - | - | - | - | - | - |
-| 人均创利(万) | - | 38.45 | - | - | - | - | - | - | - | - |
-| 人均薪酬(万) | - | 19.32 | - | - | - | - | - | - | - | - |
-
-
-## 市场表现
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2015-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 股价 | 402.00 | 266.00 | 163.26 | 393.42 | 588.00 | 351.11 | 106.40 | 73.80 | - | - |
-| 市值(亿) | 18,338 | 11,713 | 7,182 | 9,609 | 13,705 | 8,179 | 2,350 | 1,620 | - | - |
-| PE | 36.14 | 26.55 | 23.37 | 60.32 | 245.47 | 179.35 | 69.37 | 41.77 | - | - |
-| PB | 6.32 | 4.94 | 3.98 | 6.40 | 18.74 | 13.33 | 6.36 | 5.01 | - | - |
-| 股东户数 | 226,368 | 212,061 | 260,992 | 183,317 | 141,963 | 133,060 | 76,710 | 82,514 | - | - |
-

data/CN/300760.SZ/historical_metrics.csv

@@ -0,0 +1,19 @@
+date_str,Price,PE,PB,MarketCap,Shareholders
+20250930,245.69,25.529,7.9537,297884726092.0,91563.0
+20241231,255.0,26.6937,8.81,309172555470.0,82745.0
+20240930,293.0,30.6716,10.4715,355245328442.0,72917.0
+20231231,290.6,36.6742,11.1471,352335469096.0,60947.0
+20221231,315.97,47.8776,12.6847,383095107262.0,65619.0
+20211231,380.8,69.5341,17.9427,462935234093.0,65757.0
+20201231,426.0,110.6438,23.4878,517884479316.0,69782.0
+20191231,181.9,59.4569,12.5608,221134241285.0,41672.0
+20181231,109.22,51.2823,9.2655,132777800073.0,49869.0
+20171231,,,,,
+20161231,,,,,
+20151231,,,,,
+20141231,,,,,
+20071231,,,,,
+20061231,,,,,
+20051231,,,,,
+20031231,,,,,
+20011231,,,,,

data/CN/300760.SZ/raw_balance_sheet.csv

@@ -0,0 +1,51 @@
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data/CN/300760.SZ/raw_cash_flow.csv

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+300760.SZ,20211020,20211020,20210930,1,1,3,,,19216268567.0,393243758.0,,,,,,,,,,,,313841042.0,19923353367.0,6393963456.0,4171583188.0,2019907390.0,,,,,,1240915350.0,13826369384.0,6096983983.0,105000000.0,,,17367606.0,,122367606.0,1026406638.0,,3519676951.0,51680800.0,,4597764389.0,-4475396783.0,,,,,4830965933.0687,440732118.0,3039228165.0,,1072203245.0,4552163528.0,-4552163528.0,-123360257.0,-3053936585.0,15722513481.0,12668576896.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
+300760.SZ,20210826,20210826,20210630,1,1,2,4345500866.0,26969515.0,12455994065.0,288535047.0,,,,,,,,,,,,229279878.0,12973808990.0,4200815579.0,3228264128.0,1266172913.0,,,,,,755500577.0,9450753197.0,3523055793.0,70000000.0,,,4619808.0,,74619808.0,637257668.0,,,51680800.0,,688938468.0,-614318660.0,,,,,3533051003.0391,,3039228165.0,,45157211.0,3084385376.0,-3084385376.0,-99470759.0,-275119002.0,15722513481.0,15447394479.0,,,,60326106.0,169885433.0,102784427.0,4879326.0,,,-1584822.0,,6750795.0,1528314.0,57395654.0,-4108594.0,126750017.0,-453575704.0,-1016601555.0,,3523055793.0,,,,-275119002.0,,,,39166204.0,,15447394479.0,15722513481.0,,,1
+300760.SZ,20210429,20210429,20210331,1,1,1,,,6162221356.0,75671896.0,,,,,,,,,,,,105376548.0,6343269800.0,1864824121.0,2265891746.0,552528813.0,,,,,,549486389.0,5232731069.0,1110538731.0,35000000.0,,,1792542.0,,36792542.0,279875489.0,,,,,279875489.0,-243082947.0,,,,,1187124101.1109,,,,16880166.0,16880166.0,-16880166.0,-63820846.0,786754772.0,15722513481.0,16509268253.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
+300760.SZ,20210429,20210429,20201231,1,1,4,6659603292.0,204628119.0,25183135187.0,646697319.0,,,,,,,,,,,,610757001.0,26440589507.0,9177819916.0,4608721169.0,2251390582.0,,,,,,1532547991.0,17570479658.0,8870109849.0,8750000.0,,,2827564.0,,11577564.0,1182710693.0,20000000.0,,4000000000.0,,5202710693.0,-5191133129.0,,,,,7818696192.3273,,1823536899.0,,29589000.0,1853125899.0,-1853125899.0,-197470867.0,1628379954.0,14094133527.0,15722513481.0,,,,139934807.0,299398771.0,172721600.0,10962795.0,,,2067381.0,,,4471487.0,-37894958.0,-15731867.0,-1448061065.0,-3270674.0,2826993909.0,,8870109849.0,,,,1628379954.0,,,,,,15722513481.0,14094133527.0,,,0
+300760.SZ,20210429,20210429,20201231,1,1,4,6659603292.0,204628119.0,25183135187.0,646697319.0,,,,,,,,,,,,610757001.0,26440589507.0,9177819916.0,4608721169.0,2251390582.0,,,,,,1532547991.0,17570479658.0,8870109849.0,8750000.0,,,2827564.0,,11577564.0,1182710693.0,20000000.0,,4000000000.0,,5202710693.0,-5191133129.0,,,,,7818696192.3273,,1823536899.0,,29589000.0,1853125899.0,-1853125899.0,-197470867.0,1628379954.0,14094133527.0,15722513481.0,,,,139934807.0,299398771.0,172721600.0,10962795.0,,,2067381.0,,,4471487.0,-37894958.0,-15731867.0,-1448061065.0,-3270674.0,2826993909.0,,8870109849.0,,,,1628379954.0,,,,,,15722513481.0,14094133527.0,,,1
+300760.SZ,20201030,20201030,20200930,1,1,3,,,18545334359.0,573775942.0,,,,,,,,,,,,366415874.0,19485526175.0,7072059221.0,3434299388.0,1699997392.0,,,,,,1288860396.0,13495216397.0,5990309778.0,,,,1671649.0,,1671649.0,880547545.0,20000000.0,,1900000000.0,,2800547545.0,-2798875896.0,,,,,5321573777.4744,,1823536899.0,,25389000.0,1848925899.0,-1848925899.0,-88473248.0,1254034735.0,14094133527.0,15348168262.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
+300760.SZ,20200828,20200828,20200630,1,1,2,3453919656.0,-707933.0,12322160725.0,450669368.0,,,,,,,,,,,,253118862.0,13025948955.0,4439520603.0,2618931890.0,951330383.0,,,,,,806875264.0,8816658140.0,4209290815.0,,,,970690.0,,970690.0,463943053.0,20000000.0,,,,483943053.0,-482972363.0,,,,,4182274052.5716,,1823536899.0,,25389000.0,1848925899.0,-1848925899.0,34617656.0,1912010209.0,14094133527.0,16006143736.0,,,,98753586.0,130810914.0,78519518.0,3976106.0,,,662857.0,,,515933.0,-76478273.0,-9031213.0,-1480851270.0,-335541616.0,2315037293.0,,4209290815.0,,,,1912010209.0,,,,,,16006143736.0,14094133527.0,,,1
+300760.SZ,20200828,20200828,20200630,1,1,2,3453919656.0,-707933.0,12322160725.0,450669368.0,,,,,,,,,,,,253118862.0,13025948955.0,4439520603.0,2618931890.0,951330383.0,,,,,,806875264.0,8816658140.0,4209290815.0,,,,970690.0,,970690.0,463943053.0,20000000.0,,,,483943053.0,-482972363.0,,,,,4182274052.5716,,1823536899.0,,25389000.0,1848925899.0,-1848925899.0,34617656.0,1912010209.0,14094133527.0,16006143736.0,,,,98753586.0,130810914.0,78519518.0,3976106.0,,,662857.0,,,515933.0,-76478273.0,-9031213.0,-1480851270.0,-335541616.0,2315037293.0,,4209290815.0,,,,1912010209.0,,,,,,16006143736.0,14094133527.0,,,0
+300760.SZ,20200429,20200429,20200331,1,1,1,,,5626127941.0,117963119.0,,,,,,,,,,,,140324567.0,5884415627.0,1752114266.0,1843111344.0,479935536.0,,,,,,389394740.0,4464555886.0,1419859741.0,,,,493111.0,,493111.0,178589140.0,10000000.0,,,,188589140.0,-188096029.0,,,,,1819986253.1952,,,,,,,13143544.0,1244907256.0,14094133527.0,15339040783.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
+300760.SZ,20200402,20200402,20191231,1,1,4,4684816799.0,-6734191.0,18457232565.0,382131126.0,,,,,,,,,,,,445015148.0,19284378839.0,6785191896.0,3876111265.0,2025942784.0,,,,,,1875337979.0,14562583924.0,4721794915.0,,,,3895198.0,,3895198.0,776860754.0,5000000.0,,,,781860754.0,-777965556.0,,,,,3714575821.2593,,1215904156.0,212890.0,25667188.0,1241571344.0,-1241571344.0,23651473.0,2725909488.0,11368224039.0,14094133527.0,,,,165391480.0,254469226.0,139838253.0,11040118.0,,,1493657.0,,,,-37034117.0,-12122774.0,-706744733.0,-312252057.0,553591001.0,,4721794915.0,,,,2725909488.0,,,,,,14094133527.0,11368224039.0,,,1
+300760.SZ,20200402,20200402,20191231,1,1,4,4684816799.0,-6734191.0,18457232565.0,382131126.0,,,,,,,,,,,,445015148.0,19284378839.0,6785191896.0,3876111265.0,2025942784.0,,,,,,1875337979.0,14562583924.0,4721794915.0,,,,3895198.0,,3895198.0,776860754.0,5000000.0,,,,781860754.0,-777965556.0,,,,,3714575821.2593,,1215904156.0,212890.0,25667188.0,1241571344.0,-1241571344.0,23651473.0,2725909488.0,11368224039.0,14094133527.0,,,,165391480.0,254469226.0,139838253.0,11040118.0,,,1493657.0,,,,-37034117.0,-12122774.0,-706744733.0,-312252057.0,553591001.0,,4721794915.0,,,,2725909488.0,,,,,,14094133527.0,11368224039.0,,,0
+300760.SZ,20191030,20191030,20190930,1,1,3,,,13127645498.0,239059850.0,,,,,,,,,,,,300526660.0,13667232008.0,4560791395.0,2874527249.0,1582107867.0,,,,,,1365462183.0,10382888694.0,3284343314.0,,,,2652946.0,,2652946.0,544964129.0,,,,,544964129.0,-542311183.0,,,,,2406626058.468,,1215904157.0,212891.0,9332979.0,1225237136.0,-1225237136.0,42444272.0,1559239267.0,11368224039.0,12927463306.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0
+300760.SZ,20191030,20191030,20190930,1,1,3,,,13127645498.0,239059850.0,,,,,,,,,,,,300526660.0,13667232008.0,4560791395.0,2874527249.0,1582107867.0,,,,,,1365462183.0,10382888694.0,3284343314.0,,,,2652946.0,,2652946.0,544964129.0,,,,,544964129.0,-542311183.0,,,,,2608201053.0797,,1215904157.0,212891.0,9332979.0,1225237136.0,-1225237136.0,42444272.0,1559239267.0,11368224039.0,12927463306.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
+300760.SZ,20190829,20190829,20190630,1,1,2,2369960143.0,45272038.0,8560877421.0,143224516.0,,,,,,,,,,,,230550493.0,8934652430.0,2738567380.0,2178467017.0,1083769352.0,,,,,,835227138.0,6836030887.0,2098621543.0,,,,1197164.0,,1197164.0,310973305.0,,,,,310973305.0,-309776141.0,,,,,1876178497.8825,,1215691266.0,,9332979.0,1225024245.0,-1225024245.0,-14496244.0,549324913.0,11368224039.0,11917548952.0,,,,35043232.0,122887429.0,65960590.0,5170088.0,,,23767.0,,,,-72443934.0,-4737497.0,-247221869.0,-358822849.0,121684483.0,15845922.0,2098621543.0,,,,549324913.0,,,,,,11917548952.0,11368224039.0,,,0
+300760.SZ,20190829,20190829,20190630,1,1,2,2369960143.0,45272038.0,8560877421.0,143224516.0,,,,,,,,,,,,230550493.0,8934652430.0,2738567380.0,2178467017.0,1083769352.0,,,,,,835227138.0,6836030887.0,2098621543.0,,,,1197164.0,,1197164.0,310973305.0,,,,,310973305.0,-309776141.0,,,,,1993900919.9524,,1215691266.0,,9332979.0,1225024245.0,-1225024245.0,-14496244.0,549324913.0,11368224039.0,11917548952.0,,,,35043232.0,122887429.0,65960590.0,5170088.0,,,23767.0,,,,-72443934.0,-4737497.0,-247221869.0,-358822849.0,121684483.0,,2098621543.0,,,,549324913.0,,,,,,11917548952.0,11368224039.0,,,1
+300760.SZ,20190429,20190429,20190331,1,1,1,,,4114178045.0,58219881.0,,,,,,,,,,,,66884287.0,4239282213.0,1269467971.0,1523322188.0,592109412.0,,,,,,387840958.0,3772740529.0,466541684.0,,,,746949.0,,746949.0,146263312.0,,,,,146263312.0,-145516363.0,,,,,520755017.6518,,,,9332979.0,9332979.0,-9332979.0,-111818644.0,199873698.0,11368224039.0,11568097737.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
+300760.SZ,20190423,20190423,20181231,1,1,4,3725741910.0,-91792860.0,14995492037.0,422153925.0,,,,,,,,,,,,223207437.0,15640853399.0,5529438305.0,2984884886.0,1436617265.0,,,,,,1655327567.0,11606268023.0,4034585376.0,95006064.0,,,3302411.0,,98308475.0,678277186.0,,,112650977.0,,790928163.0,-692619688.0,,,,5795683774.0,3116708768.5678,1865573200.0,949322340.0,93236.0,88670334.0,2903565874.0,2892117900.0,184143240.0,6418226828.0,4949997211.0,11368224039.0,5795683774.0,,,50935551.0,223054672.0,108362606.0,6738927.0,,,3015423.0,,-112636032.0,112650977.0,-138127714.0,-8533169.0,-224044240.0,-247772018.0,649720319.0,,4034585376.0,,,,6418226828.0,,,,,,11368224039.0,4949997211.0,0.0,0.0,1
+300760.SZ,20190423,20190423,20181231,1,1,4,3725741910.0,-91792860.0,14995492037.0,422153925.0,,,,,,,,,,,,223207437.0,15640853399.0,5529438305.0,2984884886.0,1436617265.0,,,,,,1655327567.0,11606268023.0,4034585376.0,95006064.0,,,3302411.0,,98308475.0,678277186.0,,,112650977.0,,790928163.0,-692619688.0,,,,5795683774.0,3116708768.5678,1865573200.0,949322340.0,93236.0,88670334.0,2903565874.0,2892117900.0,184143240.0,6418226828.0,4949997211.0,11368224039.0,5795683774.0,,,50935551.0,223054672.0,108362606.0,6738927.0,,,3015423.0,,-112636032.0,112650977.0,-138127714.0,-8533169.0,-224044240.0,-247772018.0,649720319.0,-22728976.0,4034585376.0,,,,6418226828.0,,,,,,11368224039.0,4949997211.0,0.0,0.0,0
+300760.SZ,20181030,20181030,20180930,1,1,3,,,10865115564.0,306874008.0,,,,,,,,,,,,132109476.0,11304099048.0,4080672556.0,2330223159.0,1222236022.0,,,,,,1219417199.0,8852548936.0,2451550112.0,95006064.0,,,1258608.0,,96264672.0,443275887.0,,,112650977.0,,555926864.0,-459662192.0,,,,,1535403685.2705,318350000.0,933177165.0,93236.0,63300483.0,1314827648.0,-1314827648.0,203047141.0,880107413.0,4949997211.0,5830104624.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1
+300760.SZ,20190829,20190829,20180630,1,1,2,1875762218.0,-3739277.0,6930418724.0,205994417.0,,,,,,,,,,,,112279276.0,7248692417.0,2505043937.0,1718122640.0,790098048.0,,,,,,730524541.0,5743789166.0,1504903251.0,95006064.0,,,665631.0,,95671695.0,299560778.0,,,112650977.0,,412211755.0,-316540060.0,,,,,-2580390042.7519,318350000.0,918497780.0,93236.0,63300483.0,1300148263.0,-1300148263.0,38884239.0,-72900833.0,4949997211.0,4877096378.0,,,,32122674.0,111294757.0,48623451.0,2751306.0,,,843758.0,,-112636032.0,112650977.0,-137297079.0,-4795795.0,-264613561.0,-296210344.0,162168333.0,,1504903251.0,,,,-72900833.0,,,,,,4877096378.0,4949997211.0,,,1
+300760.SZ,20190829,20190829,20180630,1,1,2,1875762218.0,-3739277.0,6930418724.0,205994417.0,,,,,,,,,,,,112279276.0,7248692417.0,2505043937.0,1718122640.0,790098048.0,,,,,,730524541.0,5743789166.0,1504903251.0,95006064.0,,,665631.0,,95671695.0,299560778.0,,,112650977.0,,412211755.0,-316540060.0,,,,,-2580993002.2873,318350000.0,918497780.0,93236.0,63300483.0,1300148263.0,-1300148263.0,38884239.0,-72900833.0,4949997211.0,4877096378.0,,,,32122674.0,111294757.0,48623451.0,2751306.0,,,843758.0,,-112636032.0,112650977.0,-137297079.0,-4795795.0,-264613561.0,-296210344.0,162168333.0,,1504903251.0,,,,-72900833.0,,,,,,4877096378.0,4949997211.0,,,0
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data/CN/300760.SZ/raw_dividends_raw.csv

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data/CN/300760.SZ/raw_historical_metrics_shareholder_number.csv

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data/CN/300760.SZ/raw_income_statement.csv

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+300760.SZ,20220820,20220820,20220630,1,1,2,4.3682,4.3682,15355576079.0,15355576079.0,,,,,,,,,,,,,,,-21378189.0,-2575983.0,-2575983.0,,9598914645.0,5508024298.0,,,157925390.0,2152036294.0,618812121.0,-223178782.0,-28517547.0,,,,,,,,,,,6005263170.0,16017307.0,13059260.0,,6008221217.0,717936454.0,5290284763.0,5287652288.0,2632475.0,31424408.0,5321709171.0,5319076696.0,2632475.0,5805274132.0,6243606598.0,,,,1350082705.0,4813727.0,174470800.0,,,,,,,,,,,,,,,5290284763.0,1
+300760.SZ,20220420,20220420,20220331,1,1,1,1.7375,1.7375,6943108994.0,6943108994.0,,,,,,,,,,,,,,,7825435.0,-1172501.0,-1172501.0,,4655565251.0,2422990195.0,,,79449251.0,1072950119.0,358376634.0,-7680873.0,-20503792.0,,,,,,,,,,,2401535649.0,5112409.0,941951.0,,2405706107.0,298733425.0,2106972682.0,2105071901.0,1900781.0,-81520698.0,2025451984.0,2023551203.0,1900781.0,2414364953.0,,,,,703945494.0,2258677.0,88598038.0,,,,,,,,,,,,,,,2106972682.0,1
+300760.SZ,20220420,20220420,20211231,1,1,4,6.5868,6.5868,25269580818.0,25269580818.0,,,,,,,,,,,,,,,9878833.0,811481.0,811481.0,,16793459449.0,8842715216.0,,,281988904.0,3998947743.0,1105683090.0,-85973389.0,-131734229.0,,,,,,,,,,,9065716982.0,23240924.0,71873073.0,,9017084833.0,1013038963.0,8004045870.0,8001553606.0,2492264.0,-287162436.0,7716883434.0,7714391170.0,2492264.0,8972453068.0,9689506369.0,,,,2524177625.0,8634183.0,407324996.0,,,,,,,,,,,,,,,8004045870.0,1
+300760.SZ,20220420,20220420,20211231,1,1,4,6.5868,6.5868,25269580818.0,25269580818.0,,,,,,,,,,,,,,,9878833.0,811481.0,811481.0,,16793459449.0,8842715216.0,,,281988904.0,3998947743.0,1105683090.0,-85973389.0,-131734229.0,,,,,,,,,,,9065716982.0,23240924.0,71873073.0,,9017084833.0,1013038963.0,8004045870.0,8001553606.0,2492264.0,-287162436.0,7716883434.0,7714391170.0,2492264.0,8972453068.0,9689506369.0,,,,2524177625.0,8634183.0,407324996.0,,,,,,,,,,,,,,,8004045870.0,0
+300760.SZ,20211020,20211020,20210930,1,1,3,5.4816,5.4816,19391512275.0,19391512275.0,,,,,,,,,,,,,,,-4436067.0,-2089534.0,-2089534.0,,12210647361.0,6669808681.0,,,215416690.0,2843620647.0,843578919.0,-85982990.0,-66421650.0,,,,,,,,,,,7595198237.0,16756726.0,28519592.0,,7583435371.0,918108659.0,6665326712.0,6662883207.0,2443505.0,-100511059.0,6564815653.0,6562372148.0,2443505.0,7579311238.0,,,,,1629357944.0,6259960.0,314322694.0,,,,,,,,,,,,,,,6665326712.0,1
+300760.SZ,20210826,20210826,20210630,1,1,2,3.5736,3.5736,12778347633.0,12778347633.0,,,,,,,,,,,,,,,-6750795.0,-1528314.0,-1528314.0,,8080632673.0,4399401599.0,,,137086302.0,1875056307.0,590342806.0,-43053312.0,-36592782.0,,,,,,,,,,,4922455281.0,11387171.0,17559966.0,,4916282486.0,570781620.0,4345500866.0,4344429645.0,1071221.0,-27962825.0,4317538041.0,4316466820.0,1071221.0,5105360909.0,5422076299.0,,,,1061472865.0,4174842.0,223439495.0,,,,,,,,,,,,,,,4345500866.0,1
+300760.SZ,20210429,20210429,20210331,1,1,1,1.4107,1.4107,5781049735.0,5781049735.0,,,,,,,,,,,,,,,,-1897961.0,-1897961.0,,3977052187.0,2021921490.0,,,60257780.0,951618192.0,324666396.0,32009881.0,-4337760.0,,,,,,,,,,,1905201820.0,3378142.0,5918132.0,,1902661830.0,187129341.0,1715532489.0,1715036341.0,496148.0,7760113.0,1723292602.0,1722796454.0,496148.0,1943161521.0,,,,,587917833.0,,100853646.0,,,,,,,,,,,,,,,1715532489.0,1
+300760.SZ,20210429,20210429,20201231,1,1,4,5.4765,5.4765,21025846389.0,21025846389.0,,,,,,,,,,,,,,,,-4471487.0,-4471487.0,,14040500671.0,7366094227.0,,,217538038.0,3611686584.0,897368046.0,-61420849.0,-110249620.0,,,,,,,,,,,7455160122.0,53673178.0,70393025.0,,7438440275.0,778836983.0,6659603292.0,6657676062.0,1927230.0,-121268366.0,6538334926.0,6536407696.0,1927230.0,7417152673.0,7900235839.0,,,,1869299818.0,,385696042.0,,,,,,,,,,,,,,,6659603292.0,1
+300760.SZ,20210429,20210429,20201231,1,1,4,5.4765,5.4765,21025846389.0,21025846389.0,,,,,,,,,,,,,,,,-4471487.0,-4471487.0,,14040500671.0,7366094227.0,,,217538038.0,3611686584.0,897368046.0,-61420849.0,-110249620.0,,,,,,,,,,,7455160122.0,53673178.0,70393025.0,,7438440275.0,778836983.0,6659603292.0,6657676062.0,1927230.0,-121268366.0,6538334926.0,6536407696.0,1927230.0,7417152673.0,7900235839.0,,,,1869299818.0,,385696042.0,,,,,,,,,,,,,,,6659603292.0,0
+300760.SZ,20201030,20201030,20200930,1,1,3,4.4116,4.4116,16063658639.0,16063658639.0,,,,,,,,,,,,,,,,-1210521.0,-1210521.0,,10412940395.0,5327321260.0,,,156324583.0,2827714688.0,695673498.0,-82171615.0,-94860630.0,,,,,,,,,,,6004518875.0,47330103.0,34759927.0,,6017089051.0,652805791.0,5364283260.0,5363155897.0,1127363.0,-50246482.0,5314036778.0,5312909415.0,1127363.0,6260172246.0,,,,,1350598435.0,,240712968.0,,,,,,,,,,,,,,,5364283260.0,0
+300760.SZ,20201030,20201030,20200930,1,1,3,4.4116,4.4116,16063658639.0,16063658639.0,,,,,,,,,,,,,,,,-1210521.0,-1210521.0,,10412940395.0,5327321260.0,,,156324583.0,2827714688.0,695673498.0,-82171615.0,-94860630.0,,,,,,,,,,,6004518875.0,47330103.0,34759927.0,,6017089051.0,652805791.0,5364283260.0,5363155897.0,1127363.0,-50246482.0,5314036778.0,5312909415.0,1127363.0,6260172246.0,,,,,1350598435.0,,240712968.0,,,,,,,,,,,,,,,5364283260.0,1
+300760.SZ,20200828,20200828,20200630,1,1,2,2.8409,2.8409,10564367033.0,10564367033.0,,,,,,,,,,,,,,,,-515933.0,-515933.0,,6929782207.0,3595848746.0,,,92985869.0,1914928530.0,474204619.0,-150346095.0,-63591057.0,,,,,,,,,,,3908669788.0,35542780.0,16898122.0,,3927314446.0,473394790.0,3453919656.0,3453628126.0,291530.0,11814896.0,3465734552.0,3465443022.0,291530.0,3761728721.0,3975035259.0,,,,903406952.0,,136594745.0,,,,,,,,,,,,,,,3453919656.0,1
+300760.SZ,20200828,20200828,20200630,1,1,2,2.8409,2.8409,10564367033.0,10564367033.0,,,,,,,,,,,,,,,,-515933.0,-515933.0,,6929782207.0,3595848746.0,,,92985869.0,1914928530.0,474204619.0,-150346095.0,-63591057.0,,,,,,,,,,,3908669788.0,35542780.0,16898122.0,,3927314446.0,473394790.0,3453919656.0,3453628126.0,291530.0,11814896.0,3465734552.0,3465443022.0,291530.0,3761728721.0,3975035259.0,,,,903406952.0,,136594745.0,,,,,,,,,,,,,,,3453919656.0,0
+300760.SZ,20200429,20200429,20200331,1,1,1,1.0803,1.0803,4741266531.0,4741266531.0,,,,,,,,,,,,,,,,-104123.0,-104123.0,,3414277723.0,1682251008.0,,,49114758.0,949551960.0,271920310.0,-47638952.0,-17102909.0,,,,,,,,,,,1471227982.0,21690042.0,12143532.0,,1480774492.0,167001391.0,1313773101.0,1313277159.0,495942.0,7033623.0,1320806724.0,1320310782.0,495942.0,1511042120.0,,,,,481517726.0,,70259205.0,,,,,,,,,,,,,,,1313773101.0,1
+300760.SZ,20200429,20200429,20200331,1,1,1,1.0803,1.0803,4741266531.0,4741266531.0,,,,,,,,,,,,,,,,-104123.0,-104123.0,,3414277723.0,1682251008.0,,,49114758.0,949551960.0,271920310.0,-47638952.0,-17102909.0,,,,,,,,,,,1471227982.0,21690042.0,12143532.0,,1480774492.0,167001391.0,1313773101.0,1313277159.0,495942.0,7033623.0,1320806724.0,1320310782.0,495942.0,1451240919.0,,,,,481517726.0,,70259205.0,,,,,,,,,,,,,,,1313773101.0,0
+300760.SZ,20200402,20200402,20191231,1,1,4,3.85,3.85,16555991314.0,16555991314.0,,,,,,,,,,,,,,,,,,,11561170338.0,5755057286.0,,,212167177.0,3605667336.0,765041438.0,-407765654.0,-156719464.0,,,,,,,,,,,5378792252.0,39283562.0,49822289.0,,5368253525.0,683436726.0,4684816799.0,4680646750.0,4170049.0,-19328804.0,4665487995.0,4661317946.0,4170049.0,5085112493.0,5490460090.0,,,,1465611275.0,,331296218.0,,,,,,,,,,,,,,,4684816799.0,0
+300760.SZ,20200402,20200402,20191231,1,1,4,3.85,3.85,16555991314.0,16555991314.0,,,,,,,,,,,,,,,,,,,11561170338.0,5755057286.0,,,212167177.0,3605667336.0,765041438.0,-407765654.0,-156719464.0,,,,,,,,,,,5378792252.0,39283562.0,49822289.0,,5368253525.0,683436726.0,4684816799.0,4680646750.0,4170049.0,-19328804.0,4665487995.0,4661317946.0,4170049.0,5085112493.0,5490460090.0,,,,1465611275.0,,331296218.0,,,,,,,,,,,,,,,4684816799.0,1
+300760.SZ,20191030,20191030,20190930,1,1,3,3.02,3.02,12379459320.0,12379459320.0,,,,,,,,,,,,,,,,,,,8441917295.0,4306507620.0,,,155023436.0,2608686497.0,588850610.0,-351174482.0,-41592601.0,,,,,,,,,,,4208181562.0,20133525.0,11467841.0,,4216847246.0,543195222.0,3673652024.0,3671181813.0,2470211.0,2065619.0,3675717643.0,3673247432.0,2470211.0,3907345360.0,,,,,1084240427.0,,239570955.0,,,,,,,,,,,,,,,3673652024.0,0
+300760.SZ,20191030,20191030,20190930,1,1,3,3.02,3.02,12379459320.0,12379459320.0,,,,,,,,,,,,,,,,,,,8441917295.0,4306507620.0,,,155023436.0,2608686497.0,588850610.0,-351174482.0,-41592601.0,,,,,,,,,,,4208181562.0,20133525.0,11467841.0,,4216847246.0,543195222.0,3673652024.0,3671181813.0,2470211.0,2065619.0,3675717643.0,3673247432.0,2470211.0,4138725729.0,,,,,1084240427.0,,239570955.0,,,,,,,,,,,,,,,3673652024.0,1
+300760.SZ,20190829,20190829,20190630,1,1,2,1.95,1.95,8205572179.0,8205572179.0,,,,,,,,,,,,,,,,,,,5677163889.0,2852795886.0,,,107606522.0,1705599434.0,412245203.0,-141503376.0,-20857561.0,,,,,,,,,,,2732276379.0,11693423.0,10095615.0,,2733874187.0,363914044.0,2369960143.0,2369090559.0,869584.0,-4060411.0,2365899732.0,2365030148.0,869584.0,2740781472.0,2934799579.0,,,,705376988.0,,149984702.0,,,,,,,,,,,,,,,2369960143.0,0
+300760.SZ,20190829,20190829,20190630,1,1,2,1.95,1.95,8205572179.0,8205572179.0,,,,,,,,,,,,,,,,,,,5677163889.0,2852795886.0,,,107606522.0,1705599434.0,412245203.0,-141503376.0,-20857561.0,,,,,,,,,,,2732276379.0,11693423.0,10095615.0,,2733874187.0,363914044.0,2369960143.0,2369090559.0,869584.0,-4060411.0,2365899732.0,2365030148.0,869584.0,2740781472.0,2934799579.0,,,,705376988.0,,149984702.0,,,,,,,,,,,,,,,2369960143.0,1
+300760.SZ,20190429,20190429,20190331,1,1,1,0.83,0.83,3905926079.0,3905926079.0,,,,,,,,,,,,,,,,,,,2832784606.0,1335812238.0,,,58763330.0,801279781.0,160281899.0,123893181.0,9550642.0,,,,,,,,,,,1164464449.0,6349908.0,7611169.0,,1163203188.0,157248194.0,1005954994.0,1005701549.0,253445.0,-1182318.0,1004772676.0,1004519231.0,253445.0,1367579687.0,,,,,343856513.0,,69812491.0,,,,,,,,,,,,,,,1005954994.0,0
+300760.SZ,20190423,20190423,20181231,1,1,4,3.34,3.34,13753357469.0,13753357469.0,,,,,,,,,,,,,,,112636032.0,-112650977.0,,,9869274034.0,4597398296.0,,,192237869.0,3202233503.0,715112827.0,-155803033.0,50935551.0,,,,,,,,,,,4278155922.0,26589848.0,66420513.0,,4238325257.0,512583347.0,3725741910.0,3719236169.0,6505741.0,11041962.0,3736783872.0,3730278131.0,6505741.0,4127257728.0,4465413933.0,,,,1267159021.0,42503126.0,90688520.0,,,,,,,,,,,,,,,3725741910.0,0
+300760.SZ,20190423,20190423,20181231,1,1,4,3.34,3.34,13753357469.0,13753357469.0,,,,,,,,,,,,,,,112636032.0,-112650977.0,,,9869274034.0,4597398296.0,,,192237869.0,3202233503.0,715112827.0,-155803033.0,50935551.0,,,,,,,,,,,4278155922.0,26589848.0,66420513.0,,4238325257.0,512583347.0,3725741910.0,3719236169.0,6505741.0,11041962.0,3736783872.0,3730278131.0,6505741.0,4127257728.0,4465413933.0,,,,1267159021.0,42503126.0,90688520.0,,,,,,,,,,,,,,,3725741910.0,1
+300760.SZ,20181030,20181030,20180930,1,1,3,2.65,2.65,10279809885.0,10279809885.0,,,,,,,,,,,,,,,112636032.0,-112650977.0,,,7254695850.0,3402583485.0,,,146042835.0,2342102848.0,534422736.0,-180936510.0,41571248.0,,,,,,,,,,,3323591480.0,20132646.0,18668528.0,,3325055598.0,423010380.0,2902045218.0,2896638727.0,5406491.0,5726526.0,2907771744.0,2902365253.0,5406491.0,3106519950.0,,,,,968909208.0,36543276.0,-42321252.0,,,,,,,,,,,,,,,2902045218.0,0
+300760.SZ,20181030,20181030,20180930,1,1,3,2.65,2.65,10279809885.0,10279809885.0,,,,,,,,,,,,,,,112636032.0,-112650977.0,,,7254695850.0,3402583485.0,,,146042835.0,2342102848.0,534422736.0,-180936510.0,41571248.0,,,,,,,,,,,3323591480.0,20132646.0,18668528.0,,3325055598.0,423010380.0,2902045218.0,2896638727.0,5406491.0,5726526.0,2907771744.0,2902365253.0,5406491.0,3106519950.0,,,,,968909208.0,36543276.0,-42321252.0,,,,,,,,,,,,,,,2902045218.0,1
+300760.SZ,20190829,20190829,20180630,1,1,2,1.71,1.71,6808388237.0,6808388237.0,,,,,,,,,,,,,,,112636032.0,-112650977.0,,,4840183324.0,2202616563.0,,,103630363.0,1520848524.0,354936478.0,-13854472.0,32122674.0,,,,,,,,,,,2183134201.0,4034117.0,12883351.0,,2174284967.0,298522749.0,1875762218.0,1871690313.0,4071905.0,-3243906.0,1872518312.0,1868446407.0,4071905.0,2170138432.0,2332807946.0,,,,639883194.0,23995002.0,24693921.0,,,,,,,,,,,,,,,1875762218.0,0
+300760.SZ,20190829,20190829,20180630,1,1,2,1.71,1.71,6808388237.0,6808388237.0,,,,,,,,,,,,,,,112636032.0,-112650977.0,,,4840183324.0,2202616563.0,,,103630363.0,1520848524.0,354936478.0,-13854472.0,32122674.0,,,,,,,,,,,2183134201.0,4034117.0,12883351.0,,2174284967.0,298522749.0,1875762218.0,1871690313.0,4071905.0,-3243906.0,1872518312.0,1868446407.0,4071905.0,2170837351.0,2333506865.0,,,,639883194.0,23995002.0,24693921.0,,,,,,,,,,,,,,,1875762218.0,1
+300760.SZ,20180914,20180914,20180331,1,1,1,0.74,0.74,3236282868.0,3236282868.0,,,,,,,,,,,,,,,112636032.0,-112650977.0,,,2397114588.0,1022710723.0,,,49629161.0,675699368.0,466832395.0,171521402.0,10721539.0,,,,,,,,,,,955899077.0,2795437.0,4915638.0,,953778876.0,144598714.0,809180162.0,807191051.0,1989111.0,-27889191.0,781290971.0,779301860.0,1989111.0,1138718611.0,,,,,,,,,,,,,,,,,,,,,,809180162.0,0
+300760.SZ,20180914,20180914,20171231,1,1,4,2.37,2.37,11173795364.0,11173795364.0,,,,,,,,,,,,,,,-111406757.0,9238710.0,,,8523321559.0,3684011692.0,,,147857916.0,2726863931.0,1665440127.0,267367218.0,31780675.0,,,,,,,,,,,2879585830.0,69873969.0,18092379.0,,2931367420.0,330176361.0,2601191059.0,2589154751.0,12036308.0,-51228974.0,2549962085.0,2537925777.0,12036308.0,3245751536.0,3563444395.0,,,,,,,,,,,,,,,,,,,,,2601191059.0,0
+300760.SZ,20181030,20181030,20170930,1,1,3,1.82,1.82,8344921050.0,8344921050.0,,,,,,,,,,,,,,,-96331772.0,8936108.0,,,6272570352.0,2714645773.0,,,111703130.0,1958359465.0,497764152.0,205943845.0,30080904.0,,,,,,,,,,,2258787809.0,34738511.0,10211203.0,,2283315117.0,278228694.0,2005086423.0,1993952159.0,11134264.0,-35542332.0,1969544091.0,1958409827.0,11134264.0,2577092796.0,,,,,754073083.0,69380840.0,-20410284.0,,,,,,,,,,,,,,,2005086423.0,0
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+300760.SZ,20180914,20180914,20161231,1,1,4,1.61,1.61,9031723194.0,9031723194.0,,,,,,,,,,,,,,,-4640319.0,113837119.0,,,7587792818.0,3195251946.0,,,130819830.0,2400933552.0,1783029040.0,-23624779.0,101383229.0,,,,,,,,,,,1548942983.0,327532475.0,24919225.0,,1851556233.0,239371658.0,1612184575.0,1600457016.0,11727559.0,30390766.0,1642575341.0,1630847782.0,11727559.0,1424502120.0,1725609540.0,,,,,,,,,,,,,,,,,,,,,1612184575.0,0
+300760.SZ,20180914,20180914,20151231,1,1,4,0.98,0.98,8013109726.0,8013109726.0,,,,,,,,,,,,,,,,237844843.0,,,7286255537.0,3027702070.0,,,79092455.0,2175826946.0,1757433415.0,-109547962.0,355748613.0,,,,,,,,,,,961396255.0,237801348.0,109695205.0,,1089502398.0,148997837.0,940504561.0,909879632.0,30624929.0,-35365933.0,905138628.0,874513699.0,30624929.0,886992327.0,1220224135.0,,,,,,,,,,,,,,,,,,,,,940504561.0,0
+300760.SZ,20170526,20170526,20141231,1,1,4,1.47,1.47,7835717600.0,7835717600.0,,,,,,,,,,,,,,,-957700.0,228340500.0,,,6855569800.0,2865657800.0,,,75784000.0,2085355100.0,1685590400.0,97367300.0,45815200.0,,,,,,,,,,,1207530700.0,261748300.0,13210700.0,,1456068400.0,61277400.0,1394790900.0,1359671100.0,35119800.0,-6209900.0,1388581100.0,1353461200.0,35119800.0,1123330300.0,1123330300.0,,,,,,,,,,,,,,,,,,,,,,0
+300760.SZ,20140221,20140221,20071231,1,1,4,,,1288420000.0,1288420000.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0
+300760.SZ,20140221,20140221,20061231,1,1,4,,,686760000.0,686760000.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0
+300760.SZ,20140221,20140221,20051231,1,1,4,,,464370000.0,464370000.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0
+300760.SZ,20140221,20140221,20031231,1,1,4,,,270000000.0,270000000.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0
+300760.SZ,20140221,20140221,20011231,1,1,4,,,100420000.0,100420000.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0

data/CN/300760.SZ/raw_market_metrics_daily_basic.csv

@@ -0,0 +1,2 @@
+ts_code,trade_date,close,turnover_rate,turnover_rate_f,volume_ratio,pe,pe_ttm,pb,ps,ps_ttm,dv_ratio,dv_ttm,total_share,float_share,free_share,total_mv,circ_mv
+300760.SZ,20251218,197.77,0.3987,0.8215,0.74,20.5498,27.8772,6.367,6.5291,7.2498,3.6456,2.3411,121244.1394,121240.5619,58838.2284,23978453.4491,23977745.927

data/CN/300760.SZ/raw_market_metrics_shareholder_number.csv

@@ -1,2 +1,2 @@
 ts_code,ann_date,end_date,holder_num
-600519.SH,20251030,20250930,238512
+300760.SZ,20251030,20250930,108835

data/CN/300760.SZ/raw_market_metrics_stock_basic.csv

@@ -0,0 +1,2 @@
+name,list_date
+迈瑞医疗,20181016

data/CN/300760.SZ/raw_repurchases.csv

@@ -0,0 +1,17 @@
+ts_code,ann_date,end_date,proc,exp_date,vol,amount,high_limit,low_limit
+300760.SZ,20220307,20220304,完成,,3249872.0,999944451.22,322.56,291.44
+300760.SZ,20220307,20220304,完成,,3249872.0,999944451.22,322.56,291.44
+300760.SZ,20220224,20220223,完成,,3249872.0,999944451.22,322.56,291.44
+300760.SZ,20220224,20220223,完成,,3249872.0,999944451.22,322.56,291.44
+300760.SZ,20220211,20220211,实施,,950328.0,284900177.41,305.0,296.39
+300760.SZ,20220211,20220211,实施,,950328.0,284900177.41,305.0,296.39
+300760.SZ,20220211,,股东大会通过,,,1000000000.0,400.0,
+300760.SZ,20220113,,预案,,,1000000000.0,400.0,
+300760.SZ,20220113,,预案,,,1000000000.0,400.0,
+300760.SZ,20220113,,预案,,,1000000000.0,400.0,
+300760.SZ,20210902,20210901,完成,,3048662.0,999990786.17,335.0,316.18
+300760.SZ,20210902,20210901,完成,,3048662.0,999990786.17,335.0,316.18
+300760.SZ,20210901,20210831,实施,,1649938.0,537230592.8,331.5,320.55
+300760.SZ,20210901,20210831,实施,,1649938.0,537230592.8,331.5,320.55
+300760.SZ,20210826,,预案,,,1000000000.0,400.0,
+300760.SZ,20210826,,预案,,,1000000000.0,400.0,

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+                <title>300760.SZ Financial Report</title>
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+                    <h1>迈瑞医疗 (300760.SZ) - Financial Report</h1>
+<p><em>Report generated on: 2025-12-18</em></p>
+
+        <table class="company-table">
+            <thead>
+                <tr>
+                    <th>代码</th>
+                    <th>简称</th>
+                    <th>上市日期</th>
+                    <th>PE</th>
+                    <th>PB</th>
+                    <th>股息率(%)</th>
+                </tr>
+            </thead>
+            <tbody>
+                <tr>
+                    <td>300760.SZ</td>
+                    <td>迈瑞医疗</td>
+                    <td>2018-10-16</td>
+                    <td>20.55</td>
+                    <td>6.37</td>
+                    <td>2.34%</td>
+                </tr>
+            </tbody>
+        </table>
+        
+<div class="table-gap"></div>
+
+            <table class="metrics-table" data-table="metrics" data-scrollable="true">
+                <thead>
+                    <tr>
+                        <th>指标</th>
+                        <th>2025Q3</th><th>2024A</th><th>2023A</th><th>2022A</th><th>2021A</th><th>2020A</th><th>2019A</th><th>2018A</th><th>2017A</th><th>2016A</th><th>2015A</th><th>2014A</th><th>2007A</th><th>2006A</th><th>2005A</th><th>2003A</th><th>2001A</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    <tr class="section-row"><td class="section-label">主要指标</td><td class="section-spacer" colspan="17"></td></tr>
+<tr><td class="metric-name">ROE</td><td>19.26%</td><td>32.54%</td><td>35.01%</td><td>30.04%</td><td>29.69%</td><td>28.60%</td><td>25.17%</td><td>24.54%</td><td>39.11%</td><td>35.41%</td><td>14.28%</td><td>14.58%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">ROA</td><td>12.77%</td><td>20.60%</td><td>24.16%</td><td>20.55%</td><td>21.00%</td><td>19.99%</td><td>18.26%</td><td>17.20%</td><td>17.93%</td><td>12.34%</td><td>7.36%</td><td>9.32%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">ROCE/ROIC</td><td>-</td><td>34.83%</td><td>37.40%</td><td>32.92%</td><td>33.18%</td><td>31.86%</td><td>27.35%</td><td>27.23%</td><td>38.35%</td><td>17.67%</td><td>10.74%</td><td>10.32%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">毛利率</td><td>61.95%</td><td>63.11%</td><td>66.16%</td><td>64.15%</td><td>65.01%</td><td>64.97%</td><td>65.24%</td><td>66.57%</td><td>67.03%</td><td>64.62%</td><td>62.22%</td><td>63.43%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">净利润率</td><td>29.30%</td><td>31.77%</td><td>33.16%</td><td>31.64%</td><td>31.66%</td><td>31.66%</td><td>28.27%</td><td>27.04%</td><td>23.17%</td><td>17.72%</td><td>11.35%</td><td>17.35%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">收入(亿)</td><td>258.34</td><td>367.26</td><td>349.32</td><td>303.66</td><td>252.70</td><td>210.26</td><td>165.56</td><td>137.53</td><td>111.74</td><td>90.32</td><td>80.13</td><td>78.36</td><td>12.88</td><td>6.87</td><td>4.64</td><td>2.70</td><td>1.00</td></tr>
+<tr><td class="metric-name">收入增速</td><td>-12.38%</td><td>5.14%</td><td>15.04%</td><td>20.17%</td><td>20.18%</td><td>27.00%</td><td>20.38%</td><td>23.09%</td><td>23.72%</td><td>12.71%</td><td>2.26%</td><td>-</td><td>87.61%</td><td>47.89%</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">净利润(亿)</td><td>75.70</td><td>116.68</td><td>115.82</td><td>96.07</td><td>80.02</td><td>66.58</td><td>46.81</td><td>37.19</td><td>25.89</td><td>16.00</td><td>9.10</td><td>13.60</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">净利润增速</td><td>-28.83%</td><td>0.74%</td><td>20.56%</td><td>20.07%</td><td>20.19%</td><td>42.24%</td><td>25.85%</td><td>43.65%</td><td>61.78%</td><td>75.90%</td><td>-33.08%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">经营净现金流(亿)</td><td>72.73</td><td>124.32</td><td>110.62</td><td>121.41</td><td>89.99</td><td>88.70</td><td>47.22</td><td>40.35</td><td>33.00</td><td>30.40</td><td>20.24</td><td>17.41</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">资本开支(亿)</td><td>15.27</td><td>19.59</td><td>26.89</td><td>19.16</td><td>14.02</td><td>11.83</td><td>7.77</td><td>6.78</td><td>4.67</td><td>4.14</td><td>5.95</td><td>5.88</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">自由现金流(亿)</td><td>57.46</td><td>104.73</td><td>83.73</td><td>102.26</td><td>75.96</td><td>76.87</td><td>39.45</td><td>33.56</td><td>28.34</td><td>26.26</td><td>14.28</td><td>11.53</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">分红(亿)</td><td>-</td><td>96.03</td><td>70.32</td><td>54.56</td><td>42.44</td><td>30.39</td><td>18.24</td><td>12.16</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">回购(亿)</td><td>-</td><td>-</td><td>-</td><td>85.70</td><td>50.74</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">总资产(亿)</td><td>592.65</td><td>566.44</td><td>479.40</td><td>467.45</td><td>381.03</td><td>333.06</td><td>256.34</td><td>216.27</td><td>144.38</td><td>129.74</td><td>123.63</td><td>145.81</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">净资产(亿)</td><td>392.98</td><td>358.56</td><td>330.85</td><td>319.81</td><td>269.53</td><td>232.78</td><td>185.93</td><td>151.58</td><td>66.20</td><td>45.20</td><td>63.73</td><td>93.24</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">商誉(亿)</td><td>114.65</td><td>110.93</td><td>50.62</td><td>44.03</td><td>42.18</td><td>12.25</td><td>13.01</td><td>13.76</td><td>13.21</td><td>13.89</td><td>13.14</td><td>13.09</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr class="section-row"><td class="section-label">费用指标</td><td class="section-spacer" colspan="17"></td></tr>
+<tr><td class="metric-name">销售费用率</td><td>14.46%</td><td>14.38%</td><td>16.33%</td><td>15.81%</td><td>15.83%</td><td>17.18%</td><td>21.78%</td><td>23.28%</td><td>24.40%</td><td>26.58%</td><td>27.15%</td><td>26.61%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">管理费用率</td><td>4.05%</td><td>4.36%</td><td>4.36%</td><td>4.35%</td><td>4.38%</td><td>4.27%</td><td>4.62%</td><td>5.20%</td><td>14.90%</td><td>19.74%</td><td>21.93%</td><td>21.51%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">SG&A比例</td><td>18.51%</td><td>18.74%</td><td>20.69%</td><td>20.16%</td><td>20.20%</td><td>21.45%</td><td>26.40%</td><td>28.48%</td><td>39.31%</td><td>46.33%</td><td>49.09%</td><td>48.13%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">研发费用率</td><td>9.43%</td><td>9.98%</td><td>9.83%</td><td>9.62%</td><td>9.99%</td><td>8.89%</td><td>8.85%</td><td>9.21%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">其他费用率</td><td>4.71%</td><td>2.62%</td><td>2.49%</td><td>2.73%</td><td>3.15%</td><td>2.97%</td><td>1.72%</td><td>1.83%</td><td>4.55%</td><td>0.58%</td><td>1.78%</td><td>-2.05%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">折旧费用占比</td><td>-</td><td>1.70%</td><td>1.47%</td><td>1.42%</td><td>1.44%</td><td>1.42%</td><td>1.54%</td><td>1.62%</td><td>1.92%</td><td>2.24%</td><td>2.41%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">所得税率</td><td>12.22%</td><td>9.83%</td><td>11.01%</td><td>12.26%</td><td>11.23%</td><td>10.47%</td><td>12.73%</td><td>12.09%</td><td>11.26%</td><td>12.93%</td><td>13.68%</td><td>4.21%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr class="section-row"><td class="section-label">资产占比</td><td class="section-spacer" colspan="17"></td></tr>
+<tr><td class="metric-name">现金占比</td><td>28.91%</td><td>29.38%</td><td>39.19%</td><td>49.60%</td><td>40.31%</td><td>47.63%</td><td>55.68%</td><td>53.38%</td><td>36.50%</td><td>34.43%</td><td>16.34%</td><td>12.24%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">库存占比</td><td>8.74%</td><td>8.40%</td><td>8.30%</td><td>8.61%</td><td>9.36%</td><td>10.63%</td><td>8.83%</td><td>7.86%</td><td>10.86%</td><td>7.95%</td><td>8.10%</td><td>6.31%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">应收款占比</td><td>6.47%</td><td>5.68%</td><td>6.87%</td><td>5.69%</td><td>4.35%</td><td>4.33%</td><td>6.51%</td><td>7.27%</td><td>9.85%</td><td>7.91%</td><td>9.81%</td><td>9.40%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">预付款占比</td><td>0.54%</td><td>0.53%</td><td>0.56%</td><td>0.62%</td><td>0.62%</td><td>0.62%</td><td>0.54%</td><td>0.57%</td><td>0.74%</td><td>0.71%</td><td>0.69%</td><td>0.42%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">固定资产占比</td><td>12.73%</td><td>12.51%</td><td>11.45%</td><td>9.12%</td><td>9.90%</td><td>9.61%</td><td>10.47%</td><td>11.89%</td><td>17.29%</td><td>16.80%</td><td>15.17%</td><td>12.39%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">长期投资占比</td><td>0.30%</td><td>0.35%</td><td>0.14%</td><td>0.13%</td><td>0.07%</td><td>0.08%</td><td>0.02%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">商誉占比</td><td>19.34%</td><td>19.58%</td><td>10.56%</td><td>9.42%</td><td>11.07%</td><td>3.68%</td><td>5.08%</td><td>6.36%</td><td>9.15%</td><td>10.71%</td><td>10.63%</td><td>8.98%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr class="other-assets-row"><td class="metric-name">其他资产占比</td><td>22.97%</td><td>23.57%</td><td>22.93%</td><td>16.82%</td><td>24.31%</td><td>23.43%</td><td>12.88%</td><td>12.68%</td><td>15.61%</td><td>21.50%</td><td>39.25%</td><td>50.25%</td><td>100.00%</td><td>100.00%</td><td>100.00%</td><td>100.00%</td><td>100.00%</td></tr>
+<tr><td class="metric-name">应付款占比</td><td>5.52%</td><td>4.93%</td><td>5.61%</td><td>4.90%</td><td>5.99%</td><td>4.50%</td><td>4.84%</td><td>4.32%</td><td>6.72%</td><td>4.93%</td><td>4.75%</td><td>3.93%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">预收款占比</td><td>3.82%</td><td>3.82%</td><td>4.12%</td><td>8.86%</td><td>6.32%</td><td>9.89%</td><td>3.85%</td><td>4.64%</td><td>7.90%</td><td>6.73%</td><td>2.89%</td><td>1.32%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">短期借款占比</td><td>0.21%</td><td>0.21%</td><td>0.23%</td><td>0.21%</td><td>0.22%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>12.77%</td><td>14.37%</td><td>12.75%</td><td>2.49%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">长期借款占比</td><td>0.01%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>12.93%</td><td>2.52%</td><td>8.25%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">运营资产占比</td><td>6.41%</td><td>5.85%</td><td>6.00%</td><td>1.15%</td><td>2.03%</td><td>1.19%</td><td>7.18%</td><td>6.74%</td><td>6.83%</td><td>4.91%</td><td>10.96%</td><td>10.89%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td></tr>
+<tr><td class="metric-name">有息负债率</td><td>0.22%</td><td>0.21%</td><td>0.24%</td><td>0.21%</td><td>0.22%</td><td>0.00%</td><td>0.00%</td><td>0.00%</td><td>12.77%</td><td>27.31%</td><td>15.27%</td><td>10.74%</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr class="section-row"><td class="section-label">周转能力</td><td class="section-spacer" colspan="17"></td></tr>
+<tr><td class="metric-name">存货周转天数</td><td>192</td><td>128</td><td>122</td><td>134</td><td>147</td><td>175</td><td>143</td><td>134</td><td>155</td><td>117</td><td>120</td><td>117</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">应收款周转天数</td><td>54</td><td>31</td><td>34</td><td>31</td><td>23</td><td>25</td><td>36</td><td>41</td><td>46</td><td>41</td><td>55</td><td>63</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">应付款周转天数</td><td>121</td><td>75</td><td>83</td><td>76</td><td>94</td><td>74</td><td>78</td><td>74</td><td>96</td><td>73</td><td>70</td><td>72</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">固定资产周转率</td><td>3.43</td><td>5.18</td><td>6.36</td><td>7.13</td><td>6.70</td><td>6.57</td><td>6.17</td><td>5.35</td><td>4.48</td><td>4.14</td><td>4.27</td><td>4.34</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">总资产周转率</td><td>0.44</td><td>0.65</td><td>0.73</td><td>0.65</td><td>0.66</td><td>0.63</td><td>0.65</td><td>0.64</td><td>0.77</td><td>0.70</td><td>0.65</td><td>0.54</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr class="section-row"><td class="section-label">人均效率</td><td class="section-spacer" colspan="17"></td></tr>
+<tr><td class="metric-name">员工人数</td><td>-</td><td>21,667</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">人均创收(万)</td><td>-</td><td>169.50</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">人均创利(万)</td><td>-</td><td>53.85</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">人均薪酬(万)</td><td>-</td><td>37.47</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr class="section-row"><td class="section-label">市场表现</td><td class="section-spacer" colspan="17"></td></tr>
+<tr><td class="metric-name">股价</td><td>197.77</td><td>255.00</td><td>290.60</td><td>315.97</td><td>380.80</td><td>426.00</td><td>181.90</td><td>109.22</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">市值(亿)</td><td>2,398</td><td>3,092</td><td>3,523</td><td>3,831</td><td>4,629</td><td>5,179</td><td>2,211</td><td>1,328</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">PE</td><td>20.55</td><td>26.69</td><td>36.67</td><td>47.88</td><td>69.53</td><td>110.64</td><td>59.46</td><td>51.28</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">PB</td><td>6.37</td><td>8.81</td><td>11.15</td><td>12.68</td><td>17.94</td><td>23.49</td><td>12.56</td><td>9.27</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
+<tr><td class="metric-name">股东户数</td><td>108,835</td><td>82,745</td><td>60,947</td><td>65,619</td><td>65,757</td><td>69,782</td><td>41,672</td><td>49,869</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td><td>-</td></tr>
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+        

data/CN/300760.SZ/report.md

@@ -0,0 +1,89 @@
+# 迈瑞医疗 (300760.SZ) - Financial Report
+*Report generated on: 2025-12-18*
+
+| 代码 | 简称 | 上市日期 | PE | PB | 股息率(%) |
+|:---|:---|:---|:---|:---|:---|
+| 300760.SZ | 迈瑞医疗 | 2018-10-16 | 20.55 | 6.37 | 2.34% |
+
+
+## 主要指标
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2007A | 2006A | 2005A | 2003A | 2001A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| ROE | 19.26% | 32.54% | 35.01% | 30.04% | 29.69% | 28.60% | 25.17% | 24.54% | 39.11% | 35.41% | 14.28% | 14.58% | - | - | - | - | - |
+| ROA | 12.77% | 20.60% | 24.16% | 20.55% | 21.00% | 19.99% | 18.26% | 17.20% | 17.93% | 12.34% | 7.36% | 9.32% | - | - | - | - | - |
+| ROCE/ROIC | - | 34.83% | 37.40% | 32.92% | 33.18% | 31.86% | 27.35% | 27.23% | 38.35% | 17.67% | 10.74% | 10.32% | - | - | - | - | - |
+| 毛利率 | 61.95% | 63.11% | 66.16% | 64.15% | 65.01% | 64.97% | 65.24% | 66.57% | 67.03% | 64.62% | 62.22% | 63.43% | - | - | - | - | - |
+| 净利润率 | 29.30% | 31.77% | 33.16% | 31.64% | 31.66% | 31.66% | 28.27% | 27.04% | 23.17% | 17.72% | 11.35% | 17.35% | - | - | - | - | - |
+| 收入(亿) | 258.34 | 367.26 | 349.32 | 303.66 | 252.70 | 210.26 | 165.56 | 137.53 | 111.74 | 90.32 | 80.13 | 78.36 | 12.88 | 6.87 | 4.64 | 2.70 | 1.00 |
+| 收入增速 | -12.38% | 5.14% | 15.04% | 20.17% | 20.18% | 27.00% | 20.38% | 23.09% | 23.72% | 12.71% | 2.26% | - | 87.61% | 47.89% | - | - | - |
+| 净利润(亿) | 75.70 | 116.68 | 115.82 | 96.07 | 80.02 | 66.58 | 46.81 | 37.19 | 25.89 | 16.00 | 9.10 | 13.60 | - | - | - | - | - |
+| 净利润增速 | -28.83% | 0.74% | 20.56% | 20.07% | 20.19% | 42.24% | 25.85% | 43.65% | 61.78% | 75.90% | -33.08% | - | - | - | - | - | - |
+| 经营净现金流(亿) | 72.73 | 124.32 | 110.62 | 121.41 | 89.99 | 88.70 | 47.22 | 40.35 | 33.00 | 30.40 | 20.24 | 17.41 | - | - | - | - | - |
+| 资本开支(亿) | 15.27 | 19.59 | 26.89 | 19.16 | 14.02 | 11.83 | 7.77 | 6.78 | 4.67 | 4.14 | 5.95 | 5.88 | - | - | - | - | - |
+| 自由现金流(亿) | 57.46 | 104.73 | 83.73 | 102.26 | 75.96 | 76.87 | 39.45 | 33.56 | 28.34 | 26.26 | 14.28 | 11.53 | - | - | - | - | - |
+| 分红(亿) | - | 96.03 | 70.32 | 54.56 | 42.44 | 30.39 | 18.24 | 12.16 | - | - | - | - | - | - | - | - | - |
+| 回购(亿) | - | - | - | 85.70 | 50.74 | - | - | - | - | - | - | - | - | - | - | - | - |
+| 总资产(亿) | 592.65 | 566.44 | 479.40 | 467.45 | 381.03 | 333.06 | 256.34 | 216.27 | 144.38 | 129.74 | 123.63 | 145.81 | - | - | - | - | - |
+| 净资产(亿) | 392.98 | 358.56 | 330.85 | 319.81 | 269.53 | 232.78 | 185.93 | 151.58 | 66.20 | 45.20 | 63.73 | 93.24 | - | - | - | - | - |
+| 商誉(亿) | 114.65 | 110.93 | 50.62 | 44.03 | 42.18 | 12.25 | 13.01 | 13.76 | 13.21 | 13.89 | 13.14 | 13.09 | - | - | - | - | - |
+
+
+## 费用指标
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2007A | 2006A | 2005A | 2003A | 2001A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 销售费用率 | 14.46% | 14.38% | 16.33% | 15.81% | 15.83% | 17.18% | 21.78% | 23.28% | 24.40% | 26.58% | 27.15% | 26.61% | - | - | - | - | - |
+| 管理费用率 | 4.05% | 4.36% | 4.36% | 4.35% | 4.38% | 4.27% | 4.62% | 5.20% | 14.90% | 19.74% | 21.93% | 21.51% | - | - | - | - | - |
+| SG&A比例 | 18.51% | 18.74% | 20.69% | 20.16% | 20.20% | 21.45% | 26.40% | 28.48% | 39.31% | 46.33% | 49.09% | 48.13% | - | - | - | - | - |
+| 研发费用率 | 9.43% | 9.98% | 9.83% | 9.62% | 9.99% | 8.89% | 8.85% | 9.21% | - | - | - | - | - | - | - | - | - |
+| 其他费用率 | 4.71% | 2.62% | 2.49% | 2.73% | 3.15% | 2.97% | 1.72% | 1.83% | 4.55% | 0.58% | 1.78% | -2.05% | - | - | - | - | - |
+| 折旧费用占比 | - | 1.70% | 1.47% | 1.42% | 1.44% | 1.42% | 1.54% | 1.62% | 1.92% | 2.24% | 2.41% | - | - | - | - | - | - |
+| 所得税率 | 12.22% | 9.83% | 11.01% | 12.26% | 11.23% | 10.47% | 12.73% | 12.09% | 11.26% | 12.93% | 13.68% | 4.21% | - | - | - | - | - |
+
+
+## 资产占比
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2007A | 2006A | 2005A | 2003A | 2001A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 现金占比 | 28.91% | 29.38% | 39.19% | 49.60% | 40.31% | 47.63% | 55.68% | 53.38% | 36.50% | 34.43% | 16.34% | 12.24% | - | - | - | - | - |
+| 库存占比 | 8.74% | 8.40% | 8.30% | 8.61% | 9.36% | 10.63% | 8.83% | 7.86% | 10.86% | 7.95% | 8.10% | 6.31% | - | - | - | - | - |
+| 应收款占比 | 6.47% | 5.68% | 6.87% | 5.69% | 4.35% | 4.33% | 6.51% | 7.27% | 9.85% | 7.91% | 9.81% | 9.40% | - | - | - | - | - |
+| 预付款占比 | 0.54% | 0.53% | 0.56% | 0.62% | 0.62% | 0.62% | 0.54% | 0.57% | 0.74% | 0.71% | 0.69% | 0.42% | - | - | - | - | - |
+| 固定资产占比 | 12.73% | 12.51% | 11.45% | 9.12% | 9.90% | 9.61% | 10.47% | 11.89% | 17.29% | 16.80% | 15.17% | 12.39% | - | - | - | - | - |
+| 长期投资占比 | 0.30% | 0.35% | 0.14% | 0.13% | 0.07% | 0.08% | 0.02% | - | - | - | - | - | - | - | - | - | - |
+| 商誉占比 | 19.34% | 19.58% | 10.56% | 9.42% | 11.07% | 3.68% | 5.08% | 6.36% | 9.15% | 10.71% | 10.63% | 8.98% | - | - | - | - | - |
+| 其他资产占比 | 22.97% | 23.57% | 22.93% | 16.82% | 24.31% | 23.43% | 12.88% | 12.68% | 15.61% | 21.50% | 39.25% | 50.25% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
+| 应付款占比 | 5.52% | 4.93% | 5.61% | 4.90% | 5.99% | 4.50% | 4.84% | 4.32% | 6.72% | 4.93% | 4.75% | 3.93% | - | - | - | - | - |
+| 预收款占比 | 3.82% | 3.82% | 4.12% | 8.86% | 6.32% | 9.89% | 3.85% | 4.64% | 7.90% | 6.73% | 2.89% | 1.32% | - | - | - | - | - |
+| 短期借款占比 | 0.21% | 0.21% | 0.23% | 0.21% | 0.22% | 0.00% | 0.00% | 0.00% | 12.77% | 14.37% | 12.75% | 2.49% | - | - | - | - | - |
+| 长期借款占比 | 0.01% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 12.93% | 2.52% | 8.25% | - | - | - | - | - |
+| 运营资产占比 | 6.41% | 5.85% | 6.00% | 1.15% | 2.03% | 1.19% | 7.18% | 6.74% | 6.83% | 4.91% | 10.96% | 10.89% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
+| 有息负债率 | 0.22% | 0.21% | 0.24% | 0.21% | 0.22% | 0.00% | 0.00% | 0.00% | 12.77% | 27.31% | 15.27% | 10.74% | - | - | - | - | - |
+
+
+## 周转能力
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2007A | 2006A | 2005A | 2003A | 2001A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 存货周转天数 | 192 | 128 | 122 | 134 | 147 | 175 | 143 | 134 | 155 | 117 | 120 | 117 | - | - | - | - | - |
+| 应收款周转天数 | 54 | 31 | 34 | 31 | 23 | 25 | 36 | 41 | 46 | 41 | 55 | 63 | - | - | - | - | - |
+| 应付款周转天数 | 121 | 75 | 83 | 76 | 94 | 74 | 78 | 74 | 96 | 73 | 70 | 72 | - | - | - | - | - |
+| 固定资产周转率 | 3.43 | 5.18 | 6.36 | 7.13 | 6.70 | 6.57 | 6.17 | 5.35 | 4.48 | 4.14 | 4.27 | 4.34 | - | - | - | - | - |
+| 总资产周转率 | 0.44 | 0.65 | 0.73 | 0.65 | 0.66 | 0.63 | 0.65 | 0.64 | 0.77 | 0.70 | 0.65 | 0.54 | - | - | - | - | - |
+
+
+## 人均效率
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2007A | 2006A | 2005A | 2003A | 2001A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 员工人数 | - | 21,667 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| 人均创收(万) | - | 169.50 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| 人均创利(万) | - | 53.85 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| 人均薪酬(万) | - | 37.47 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+
+
+## 市场表现
+| 指标 | 2025Q3 | 2024A | 2023A | 2022A | 2021A | 2020A | 2019A | 2018A | 2017A | 2016A | 2015A | 2014A | 2007A | 2006A | 2005A | 2003A | 2001A |
+|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
+| 股价 | 197.77 | 255.00 | 290.60 | 315.97 | 380.80 | 426.00 | 181.90 | 109.22 | - | - | - | - | - | - | - | - | - |
+| 市值(亿) | 2,398 | 3,092 | 3,523 | 3,831 | 4,629 | 5,179 | 2,211 | 1,328 | - | - | - | - | - | - | - | - | - |
+| PE | 20.55 | 26.69 | 36.67 | 47.88 | 69.53 | 110.64 | 59.46 | 51.28 | - | - | - | - | - | - | - | - | - |
+| PB | 6.37 | 8.81 | 11.15 | 12.68 | 17.94 | 23.49 | 12.56 | 9.27 | - | - | - | - | - | - | - | - | - |
+| 股东户数 | 108,835 | 82,745 | 60,947 | 65,619 | 65,757 | 69,782 | 41,672 | 49,869 | - | - | - | - | - | - | - | - | - |
+

data/CN/600519.SH/balance_sheet.csv

@@ -1,20 +0,0 @@
-ts_code,ann_date,f_ann_date,date,report_type,comp_type,end_type,total_share,cap_rese,undistr_porfit,surplus_rese,special_rese,money_cap,trad_asset,notes_receiv,accounts_receiv,oth_receiv,prepayment,div_receiv,int_receiv,inventories,amor_exp,nca_within_1y,sett_rsrv,loanto_oth_bank_fi,premium_receiv,reinsur_receiv,reinsur_res_receiv,pur_resale_fa,oth_cur_assets,current_assets,fa_avail_for_sale,htm_invest,lt_eqt_invest,invest_real_estate,time_deposits,oth_assets,lt_rec,fix_assets,cip,const_materials,fixed_assets_disp,produc_bio_assets,oil_and_gas_assets,intan_assets,r_and_d,goodwill,lt_amor_exp,defer_tax_assets,decr_in_disbur,oth_nca,total_nca,cash_reser_cb,depos_in_oth_bfi,prec_metals,deriv_assets,rr_reins_une_prem,rr_reins_outstd_cla,rr_reins_lins_liab,rr_reins_lthins_liab,refund_depos,ph_pledge_loans,refund_cap_depos,indep_acct_assets,client_depos,client_prov,transac_seat_fee,invest_as_receiv,total_assets,lt_borr,st_borr,cb_borr,depos_ib_deposits,loan_oth_bank,trading_fl,notes_payable,acct_payable,adv_receipts,sold_for_repur_fa,comm_payable,payroll_payable,taxes_payable,int_payable,div_payable,oth_payable,acc_exp,deferred_inc,st_bonds_payable,payable_to_reinsurer,rsrv_insur_cont,acting_trading_sec,acting_uw_sec,non_cur_liab_due_1y,oth_cur_liab,current_liabilities,bond_payable,lt_payable,specific_payables,estimated_liab,defer_tax_liab,defer_inc_non_cur_liab,oth_ncl,total_ncl,depos_oth_bfi,deriv_liab,depos,agency_bus_liab,oth_liab,prem_receiv_adva,depos_received,ph_invest,reser_une_prem,reser_outstd_claims,reser_lins_liab,reser_lthins_liab,indept_acc_liab,pledge_borr,indem_payable,policy_div_payable,total_liabilities,treasury_share,ordin_risk_reser,forex_differ,invest_loss_unconf,minority_int,total_equity,total_hldr_eqy_inc_min_int,total_liab_hldr_eqy,lt_payroll_payable,oth_comp_income,oth_eqt_tools,oth_eqt_tools_p_shr,lending_funds,acc_receivable,st_fin_payable,payables,hfs_assets,hfs_sales,cost_fin_assets,fair_value_fin_assets,contract_assets,contract_liab,accounts_receiv_bill,accounts_pay,oth_rcv_total,fix_assets_total,cip_total,oth_pay_total,long_pay_total,debt_invest,oth_debt_invest,update_flag
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-600519.SH,20250403,20250403,20241231,1,1,4,1256197800.0,1374964415.72,182787415205.05,46635793479.39,,59295822956.89,248513280.0,1984407967.5,18974192.75,29955673.47,26975033.2,,,54343285157.47,,1210959803.42,,127187293298.17,,,,7220310691.1,160176582.69,251726674636.66,,,,7625167.83,,,,21871446747.14,2149619937.05,,,,,8850205831.0,98522878.42,,152105949.85,5520006868.83,2381228475.45,232395817.46,47217905282.04,,,,,,,,,,,,,,,,,298944579918.7,,,,23102858820.97,,,,3514969230.31,,,,5824371399.07,7717686541.38,,,5429006700.86,,,,,,,,111951112.2,1222693799.51,56515990618.96,,,,,103367763.38,,,417274179.14,,,,,,,,,,,,,,,,,56933264798.1,,1061529724.0,,,8905330721.13,233105984399.47,242011315120.6,298944579918.7,,-9916224.69,,,,,,,,,,,,9592453014.66,2003382160.25,3514969230.31,29955673.47,21871446747.14,2149619937.05,5429006700.86,,1515174439.92,,0
-600519.SH,20241026,20241026,20240930,1,1,3,1256197800.0,1374964415.72,192903581645.13,41119548595.8,,60084745614.27,200794360.04,1149046136.5,10131702.74,,41754330.78,,,48224880009.62,,154135489.78,,122685688179.71,,,,5785433457.13,19751378.42,238419577361.93,,,,4384742.38,,,,20237604798.2,2878910487.96,,,,,8668801938.29,160771184.78,,154464372.98,5907973419.43,2579164247.78,213888818.21,48351145595.76,,,,,,,,,,,,,,,,,286770722957.69,,,,12434986061.3,,,,2652185045.16,,,,446945580.18,6342664524.46,,57000000.0,,,,,,,,,47926667.37,1235273121.23,38723890549.12,,,,,74818111.11,,,358668170.4,,,,,,,,,,,,,,,,,39082558719.52,,1061529724.0,,,9978709237.89,237709455000.28,247688164238.17,286770722957.69,,-6367180.37,,,,,,,,,,,,9930767399.77,1159177839.24,2652185045.16,63216702.94,20237604798.2,2878910487.96,5633142149.65,,3227025895.78,,0
-600519.SH,20240403,20240403,20231231,1,1,4,1256197800.0,1374964415.72,172983178300.09,38998763095.13,,69070136376.12,400712059.93,13933440.0,60373410.41,27502107.3,34585111.79,,,46435185061.53,,,,105553836462.58,,,,3504849885.05,71403906.57,225172517821.28,,,,4138545.33,,,,19909280655.97,2137464700.45,,,,,8572267313.84,218015555.49,,160058930.14,4645887425.1,2130818189.27,109563497.23,47527142270.97,,,,,,,,,,,,,,,,,272699660092.25,,,,12034492909.95,,,,3093091103.67,,,,5401921213.77,6949663893.87,,,5213133685.87,,,,,,,,57054879.48,1822498012.3,48697611501.2,,,,,78943062.19,,,345579296.23,,,,,,,,,,,,,,,,,49043190797.43,,1061529724.0,,,7987897687.39,215668571607.43,223656469294.82,272699660092.25,,-6061727.51,,,,,,,,,,,,14125755802.29,74306850.41,3093091103.67,27502107.3,19909280655.97,2137464700.45,5213133685.87,,5323002071.02,,1
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data/CN/600519.SH/cash_flow.csv

@@ -1,23 +0,0 @@
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data/CN/600519.SH/income_statement.csv

@@ -1,30 +0,0 @@
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data/CN/600519.SH/raw_balance_sheet.csv

@@ -1,101 +0,0 @@
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data/CN/600519.SH/raw_cash_flow.csv

@@ -1,94 +0,0 @@
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data/CN/600519.SH/raw_historical_metrics_shareholder_number.csv

@@ -1,107 +0,0 @@
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data/CN/600519.SH/raw_income_statement.csv

@@ -1,114 +0,0 @@
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-600519.SH,20020814,20020814,20020630,1,1,2,,,955654212.62,955654212.62,,,,,,,,,,,,,,,,,,,554560479.53,158368542.33,,,160878207.99,167320806.24,79903159.85,-11910236.88,,,,,,,,,,,,401841412.08,55202.0,10611.88,,401886002.2,155530625.23,246355376.97,238275978.99,8079397.98,,,,,389183496.21,399801175.64,,,,,,,,,,,,,,,,,,,,,,0
-600519.SH,20020429,20020429,20020331,1,1,1,,,718014858.53,718014858.53,,,,,,,,,,,,,,,,,,,380838519.86,115551849.97,,,124848157.48,103935965.36,39164507.24,-2661960.19,0.0,,,,,,,,,,,337954898.83,50170.0,211.88,,338004856.95,124206524.16,213798332.79,206448262.49,7350070.3,,,,,,,,,,,,,,,,,,,,,,,,,,,,0
-600519.SH,20020417,20020417,20011231,1,1,4,,,1618046660.31,1618046660.31,,,,,,,,,,,,,,,,,,,1009060743.06,287538468.11,,,317884849.44,228319500.78,181060278.22,-5742353.49,0.0,,,,,,,,,,,610141665.91,72208.04,3004334.7,,607278206.25,264912397.48,342365808.77,328290723.14,14075085.63,,,,,603243563.76,617591051.99,,,,,,,,,,,,,,,,,,,,,,0
-600519.SH,20010822,20010822,20010630,1,1,2,,,873863478.94,873863478.94,,,,,,,,,,,,,,,,,,,501272652.99,146483164.85,,,161749763.7,117289100.21,74414401.61,1336222.62,0.0,,,,,,,,,,,373553600.69,51586.44,612996.92,,372992190.21,142925129.06,230067061.15,223407942.67,6659118.48,,,,,373927048.57,373927048.57,,,,,,,,,,,,,,,,,,,,,,0
-600519.SH,20010726,20010726,20001231,1,1,4,,,1114000813.26,1114000813.26,,,,,,,,,,,,,,,,,,,666077310.19,196863443.99,,,198038168.43,134826000.83,129669631.27,6680065.67,0.0,,,,,,,,,,,446942244.72,17635.96,960375.1,,446031294.58,189201780.34,256829514.24,251103580.63,5725933.61,,,,,454603568.74,468189724.08,,,,,,,,,,,,,,,,,,,,,,0
-600519.SH,20010726,20010726,19991231,1,1,4,,,890858185.64,890858185.64,,,,,,,,,,,,,,,,,,,537589581.33,129133236.27,,,172867651.11,101900556.98,122410821.54,11277315.43,0.0,,,,,,,,,,,353647748.18,1500.0,56614.31,,353592633.87,137902505.22,215690128.65,215690128.65,,,,,,364545919.74,364545919.74,,,,,,,,,,,,,,,,,,,,,,0
-600519.SH,20010726,20010726,19981231,1,1,4,,,628184433.19,628184433.19,,,,,,,,,,,,,,,,,,,410251605.47,76725369.98,,,119074532.43,56426807.15,116104124.14,41920771.77,,,,,,,,,,,,218965723.72,,,,218965723.72,72074304.11,146891419.61,146891419.61,,,,,,259853599.49,259853599.49,,,,,,,,,,,,,,,,,,,,,,0

data/CN/600519.SH/raw_market_metrics_daily_basic.csv

@@ -1,2 +0,0 @@
-ts_code,trade_date,close,turnover_rate,turnover_rate_f,volume_ratio,pe,pe_ttm,pb,ps,ps_ttm,dv_ratio,dv_ttm,total_share,float_share,free_share,total_mv,circ_mv
-600519.SH,20251217,1433.1,0.2506,0.5769,1.05,20.8126,19.9343,6.9811,10.5011,10.0496,3.8329,3.6036,125227.0215,125227.0215,54399.5947,179462844.5117,179462844.5117

data/CN/600519.SH/raw_market_metrics_stock_basic.csv

@@ -1,2 +0,0 @@
-name,list_date
-贵州茅台,20010827

data/CN/600519.SH/report.md

@@ -1,87 +0,0 @@
-# 贵州茅台 (600519.SH) - Financial Report
-*Report generated on: 2025-12-17*
-
-| 代码 | 简称 | 上市日期 | PE | PB | 股息率(%) |
-|:---|:---|:---|:---|:---|:---|
-| 600519.SH | 贵州茅台 | 2001-08-27 | 20.81 | 6.98 | 3.60% |
-
-
-## 主要指标
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2016-12-31 | 2015-12-31 | 2014-12-31 | 2013-12-31 | 2012-12-31 | 2011-12-31 | 2010-12-31 | 2009-12-31 | 2008-12-31 | 2007-12-31 | 2006-12-31 | 2005-12-31 | 2004-12-31 | 2003-12-31 | 2002-12-31 | 2001-12-31 | 1999-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| ROE | 25.14% | 36.99% | 34.65% | 31.75% | 27.68% | 28.95% | 30.30% | 31.20% | 29.61% | 22.94% | 24.25% | 28.73% | 35.51% | 38.97% | 35.06% | 27.45% | 29.81% | 33.79% | - | - | - | - | - | - | - | - |
-| ROA | 21.21% | 28.84% | 27.41% | 24.66% | 20.56% | 21.88% | 22.51% | 22.02% | 20.12% | 14.80% | 17.96% | 23.30% | 27.30% | 29.57% | 25.11% | 19.74% | 21.81% | 24.12% | - | - | - | - | - | - | - | - |
-| ROCE/ROIC | 34.56% | 50.68% | 47.24% | 43.76% | 38.92% | 41.16% | 43.43% | 45.50% | 42.51% | 33.26% | 34.55% | 40.22% | 50.12% | 53.90% | 47.95% | 37.96% | 41.07% | 47.01% | - | - | - | - | - | - | - | - |
-| 毛利率 | 91.46% | 92.08% | 92.12% | 92.09% | 91.79% | 91.68% | 91.64% | 91.55% | 90.27% | 91.51% | 92.41% | 92.74% | 92.94% | 92.27% | 91.57% | 90.95% | 90.17% | 90.30% | 87.96% | 83.96% | 82.52% | 82.22% | 80.12% | 81.44% | 82.23% | 85.50% |
-| 净利润率 | 49.37% | 49.52% | 49.64% | 49.17% | 47.92% | 47.65% | 46.38% | 45.60% | 44.35% | 41.63% | 46.35% | 47.64% | 48.72% | 50.30% | 47.62% | 43.42% | 44.60% | 46.10% | 39.11% | 31.51% | 28.46% | 27.26% | 24.44% | 20.54% | 20.29% | 24.21% |
-| 收入(亿) | 1,309.04 | 1,741.44 | 1,505.60 | 1,275.54 | 1,094.64 | 979.93 | 888.54 | 771.99 | 610.63 | 401.55 | 334.47 | 322.17 | 310.71 | 264.55 | 184.02 | 116.33 | 96.70 | 82.42 | 72.37 | 49.03 | 39.31 | 30.10 | 24.01 | 18.35 | 16.18 | 8.91 |
-| 收入增速 | 6.32% | 15.66% | 18.04% | 16.53% | 11.71% | 10.29% | 15.10% | 26.43% | 52.07% | 20.06% | 3.82% | 3.69% | 17.45% | 43.76% | 58.19% | 20.30% | 17.33% | 13.88% | 47.60% | 24.75% | 30.59% | 25.35% | 30.85% | 13.40% | 45.25% | 41.81% |
-| 净利润(亿) | 646.27 | 862.28 | 747.34 | 627.16 | 524.60 | 466.97 | 412.06 | 352.04 | 270.79 | 167.18 | 155.03 | 153.50 | 151.37 | 133.08 | 87.63 | 50.51 | 43.12 | 37.99 | 28.31 | 15.45 | 11.19 | 8.21 | 5.87 | 3.77 | 3.28 | 2.16 |
-| 净利润增速 | 6.25% | 15.38% | 19.16% | 19.55% | 12.34% | 13.33% | 17.05% | 30.00% | 61.97% | 7.84% | 1.00% | 1.41% | 13.74% | 51.86% | 73.49% | 17.13% | 13.50% | 34.22% | 83.25% | 38.11% | 36.32% | 39.85% | 55.72% | 14.78% | 30.74% | 46.84% |
-| 经营净现金流(亿) | 381.97 | 924.64 | 665.93 | 366.99 | 640.29 | 516.69 | 452.11 | 413.85 | 221.53 | 374.51 | 174.36 | 126.33 | 126.55 | 119.21 | 101.49 | 62.01 | 42.24 | 52.47 | 17.43 | 21.13 | 16.94 | - | - | - | - | - |
-| 资本开支(亿) | 22.83 | 46.79 | 26.20 | 53.07 | 34.09 | 20.90 | 31.49 | 16.07 | 11.25 | 10.19 | 20.61 | 44.31 | 54.06 | 42.12 | 21.85 | 17.32 | 13.57 | 10.11 | 7.72 | 7.37 | 5.41 | - | - | - | - | - |
-| 自由现金流(亿) | 359.14 | 877.85 | 639.73 | 313.92 | 606.20 | 495.79 | 420.62 | 397.78 | 210.28 | 364.32 | 153.75 | 82.01 | 72.49 | 77.09 | 79.64 | 44.70 | 28.67 | 42.37 | 9.71 | 13.75 | 11.53 | - | - | - | - | - |
-| 分红(亿) | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 总资产(亿) | 3,047.38 | 2,989.45 | 2,727.00 | 2,543.65 | 2,551.68 | 2,133.96 | 1,830.42 | 1,598.47 | 1,346.10 | 1,129.35 | 863.01 | 658.73 | 554.54 | 449.98 | 349.01 | 255.88 | 197.70 | 157.54 | - | - | - | - | - | - | - | - |
-| 净资产(亿) | 2,570.70 | 2,331.06 | 2,156.69 | 1,975.07 | 1,895.39 | 1,613.23 | 1,360.10 | 1,128.39 | 914.52 | 728.94 | 639.26 | 534.30 | 426.22 | 341.50 | 249.91 | 183.99 | 144.66 | 112.45 | - | - | - | - | - | - | - | - |
-| 商誉(亿) | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-
-
-## 费用指标
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2016-12-31 | 2015-12-31 | 2014-12-31 | 2013-12-31 | 2012-12-31 | 2011-12-31 | 2010-12-31 | 2009-12-31 | 2008-12-31 | 2007-12-31 | 2006-12-31 | 2005-12-31 | 2004-12-31 | 2003-12-31 | 2002-12-31 | 2001-12-31 | 1999-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 销售费用率 | 3.42% | 3.24% | 3.09% | 2.59% | 2.50% | 2.60% | 3.69% | 3.33% | 4.89% | 4.19% | 4.44% | 5.20% | 5.98% | 4.63% | 3.91% | 5.82% | 6.42% | 6.46% | 7.74% | 11.93% | 12.11% | 12.51% | 15.21% | 16.80% | 14.11% | 11.44% |
-| 管理费用率 | 4.20% | 5.35% | 6.46% | 7.07% | 7.72% | 6.93% | 6.94% | 6.90% | 7.73% | 10.43% | 11.40% | 10.49% | 9.12% | 8.33% | 9.10% | 11.57% | 12.59% | 11.42% | 9.99% | 10.11% | 8.92% | 10.35% | 12.16% | 12.95% | 11.19% | 13.74% |
-| 研发费用率 | 0.09% | 0.13% | 0.10% | 0.11% | 0.06% | 0.05% | 0.05% | 0.03% | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 其他费用率 | 34.37% | 33.85% | 32.83% | 33.16% | 33.59% | 34.45% | 34.58% | 35.69% | 33.30% | 35.26% | 30.22% | 29.41% | 29.12% | 29.01% | 30.94% | 30.14% | 26.56% | 26.32% | 31.11% | 30.41% | 33.03% | 32.10% | 28.31% | 31.15% | 36.64% | 36.11% |
-| 折旧费用占比 | - | 0.99% | 1.10% | 1.13% | 1.23% | 1.22% | 1.29% | 1.41% | 1.70% | 2.10% | 2.28% | 2.10% | 1.68% | 1.57% | 1.80% | 2.30% | 1.94% | 1.78% | 1.43% | 1.73% | 1.65% | - | - | - | - | - |
-| 所得税率 | 25.17% | 25.33% | 25.22% | 25.46% | 25.24% | 25.19% | 25.20% | 25.57% | 25.13% | 25.16% | 25.21% | 25.65% | 25.51% | 25.09% | 25.01% | 25.45% | 25.12% | 25.71% | 34.41% | 35.03% | 39.12% | 42.70% | 37.71% | 39.54% | 43.62% | 39.00% |
-
-
-## 资产占比
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2016-12-31 | 2015-12-31 | 2014-12-31 | 2013-12-31 | 2012-12-31 | 2011-12-31 | 2010-12-31 | 2009-12-31 | 2008-12-31 | 2007-12-31 | 2006-12-31 | 2005-12-31 | 2004-12-31 | 2003-12-31 | 2002-12-31 | 2001-12-31 | 1999-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 现金占比 | 16.98% | 19.84% | 25.33% | 22.91% | 20.30% | 16.91% | 7.24% | 70.11% | 65.28% | 59.20% | 42.64% | 42.07% | 45.42% | 49.03% | 52.30% | 50.37% | 49.28% | 51.38% | - | - | - | - | - | - | - | - |
-| 库存占比 | 18.33% | 18.18% | 17.03% | 15.26% | 13.09% | 13.53% | 13.81% | 14.71% | 16.39% | 18.26% | 20.87% | 22.74% | 21.35% | 21.48% | 20.59% | 21.78% | 21.21% | 19.77% | - | - | - | - | - | - | - | - |
-| 应收款占比 | 0.01% | 0.01% | 0.02% | 0.01% | - | - | - | - | - | - | 0.00% | 0.01% | 0.00% | 0.04% | 0.01% | 0.00% | 0.11% | 0.22% | - | - | - | - | - | - | - | - |
-| 预付款占比 | 0.01% | 0.01% | 0.01% | 0.35% | 0.15% | 0.42% | 0.85% | 0.74% | 0.59% | 0.93% | 1.71% | 4.35% | 7.76% | 8.61% | 5.33% | 5.98% | 6.09% | 4.71% | - | - | - | - | - | - | - | - |
-| 固定资产占比 | 6.95% | 7.32% | 7.30% | 7.76% | 6.85% | 7.60% | 8.27% | 9.54% | 11.32% | 12.80% | 13.23% | 15.75% | 15.37% | 15.13% | 15.55% | 16.38% | 16.03% | 13.90% | - | - | - | - | - | - | - | - |
-| 长期投资占比 | - | - | - | - | - | - | - | - | - | - | - | - | 0.01% | 0.01% | 0.01% | 0.02% | 0.02% | 0.03% | - | - | - | - | - | - | - | - |
-| 商誉占比 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 其他资产占比 | 57.72% | 54.65% | 50.31% | 53.70% | 59.61% | 61.53% | 69.83% | 4.90% | 6.43% | 8.82% | 21.54% | 15.08% | 10.10% | 5.71% | 6.21% | 5.46% | 7.27% | 10.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
-| 应付款占比 | 0.93% | 1.18% | 1.13% | 0.95% | 0.79% | 0.63% | 0.83% | 0.74% | 0.74% | 0.92% | 1.02% | 1.07% | 0.51% | 0.77% | 0.49% | 0.91% | 0.70% | 0.77% | - | - | - | - | - | - | - | - |
-| 预收款占比 | 2.54% | 3.21% | 5.18% | 6.08% | 4.98% | 6.24% | 7.51% | 8.49% | 10.72% | 15.53% | 9.57% | 2.24% | 5.49% | 11.31% | 20.13% | 18.52% | 17.79% | 18.64% | - | - | - | - | - | - | - | - |
-| 短期借款占比 | 0.02% | 0.04% | 0.02% | 0.04% | 0.04% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.09% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | - | - | - | - | - | - | - | - |
-| 长期借款占比 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | - | - | - | - | - | - | - | - |
-| 运营资产占比 | 14.88% | 13.81% | 10.75% | 8.59% | 7.47% | 7.08% | 6.33% | 6.22% | 5.52% | 2.73% | 11.99% | 23.78% | 23.10% | 18.04% | 5.30% | 8.34% | 8.91% | 5.29% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
-| 有息负债率 | 0.02% | 0.04% | 0.02% | 0.04% | 0.04% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.09% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | - | - | - | - | - | - | - | - |
-
-
-## 周转能力
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2016-12-31 | 2015-12-31 | 2014-12-31 | 2013-12-31 | 2012-12-31 | 2011-12-31 | 2010-12-31 | 2009-12-31 | 2008-12-31 | 2007-12-31 | 2006-12-31 | 2005-12-31 | 2004-12-31 | 2003-12-31 | 2002-12-31 | 2001-12-31 | 1999-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 存货周转天数 | 1,823 | 1,438 | 1,428 | 1,403 | 1,356 | 1,292 | 1,242 | 1,315 | 1,355 | 2,207 | 2,590 | 2,338 | 1,969 | 1,725 | 1,691 | 1,932 | 1,609 | 1,421 | - | - | - | - | - | - | - | - |
-| 应收款周转天数 | 0 | 0 | 0 | 0 | - | - | - | - | - | - | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | - | - | - | - | - | - | - | - |
-| 应付款周转天数 | 92 | 93 | 95 | 87 | 81 | 60 | 74 | 65 | 60 | 111 | 126 | 110 | 47 | 61 | 40 | 80 | 53 | 55 | - | - | - | - | - | - | - | - |
-| 固定资产周转率 | 6.18 | 7.96 | 7.56 | 6.46 | 6.27 | 6.04 | 5.87 | 5.06 | 4.01 | 2.78 | 2.93 | 3.11 | 3.65 | 3.89 | 3.39 | 2.78 | 3.05 | 3.76 | - | - | - | - | - | - | - | - |
-| 总资产周转率 | 0.43 | 0.58 | 0.55 | 0.50 | 0.43 | 0.46 | 0.49 | 0.48 | 0.45 | 0.36 | 0.39 | 0.49 | 0.56 | 0.59 | 0.53 | 0.45 | 0.49 | 0.52 | - | - | - | - | - | - | - | - |
-
-
-## 人均效率
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2016-12-31 | 2015-12-31 | 2014-12-31 | 2013-12-31 | 2012-12-31 | 2011-12-31 | 2010-12-31 | 2009-12-31 | 2008-12-31 | 2007-12-31 | 2006-12-31 | 2005-12-31 | 2004-12-31 | 2003-12-31 | 2002-12-31 | 2001-12-31 | 1999-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 员工人数 | - | 34,750 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 人均创收(万) | - | 501.13 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 人均创利(万) | - | 248.14 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 人均薪酬(万) | - | 44.18 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-
-
-## 市场表现
-| 指标 | 2025-09-30 | 2024-12-31 | 2023-12-31 | 2022-12-31 | 2021-12-31 | 2020-12-31 | 2019-12-31 | 2018-12-31 | 2017-12-31 | 2016-12-31 | 2015-12-31 | 2014-12-31 | 2013-12-31 | 2012-12-31 | 2011-12-31 | 2010-12-31 | 2009-12-31 | 2008-12-31 | 2007-12-31 | 2006-12-31 | 2005-12-31 | 2004-12-31 | 2003-12-31 | 2002-12-31 | 2001-12-31 | 1999-12-31 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 股价 | 1443.99 | 1524.00 | 1726.00 | 1727.00 | 2050.00 | 1998.00 | 1183.00 | 590.01 | 697.49 | 334.15 | 218.19 | 189.62 | 128.38 | 209.02 | 193.30 | 183.92 | 169.82 | 108.70 | 230.00 | 87.83 | 45.62 | 36.64 | 25.40 | 25.46 | 38.55 | - |
-| 市值(亿) | 18,083 | 19,144 | 21,682 | 21,695 | 25,752 | 25,099 | 14,861 | 7,412 | 8,762 | 4,198 | 2,741 | 2,165 | 1,333 | 2,170 | 2,007 | 1,736 | 1,603 | 1,026 | 2,171 | 828.94 | 215.28 | 144.09 | 76.83 | 70.02 | 96.38 | - |
-| PE | 20.97 | 25.62 | 34.57 | 41.35 | 55.15 | 60.91 | 42.21 | 27.37 | 52.41 | 27.08 | 17.86 | 14.31 | 10.02 | 24.76 | 39.73 | 40.25 | 42.18 | 36.24 | 140.52 | 74.11 | 26.24 | 24.56 | 20.39 | 21.33 | 38.38 | - |
-| PB | 7.77 | 9.22 | 11.19 | 12.11 | 14.77 | 16.91 | 11.86 | 7.24 | 10.39 | 6.12 | 4.58 | 4.44 | 3.46 | 6.94 | 8.80 | 9.91 | 11.50 | 9.69 | 31.58 | 15.51 | 4.57 | 3.73 | 2.40 | 2.47 | 17.16 | - |
-| 股东户数 | 220,658 | 207,894 | 161,640 | 167,516 | 153,535 | 108,662 | 96,747 | 107,654 | 84,984 | 52,048 | 39,909 | 43,303 | 73,255 | 49,870 | 45,694 | 55,085 | 42,780 | 27,558 | 24,973 | 23,572 | 9,333 | 11,777 | 32,349 | 36,998 | 46,194 | - |
-

data/US/AAPL/report.md

@@ -11,7 +11,7 @@
 |:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
 | ROE | 151.91% | 164.59% | 156.08% | 196.96% | 150.07% | 87.87% | 61.06% | 55.56% | 36.07% | 35.62% | 44.74% | 35.42% | 29.98% | 35.30% | 33.83% | 29.32% | 29.59% | 22.99% | 24.05% | 19.92% |
 | ROA | 31.18% | 25.68% | 27.51% | 28.29% | 26.97% | 17.73% | 16.32% | 16.28% | 12.88% | 14.20% | 18.38% | 17.04% | 17.89% | 23.70% | 22.28% | 18.64% | 15.29% | 12.22% | 13.79% | 11.56% |
-| ROCE/ROIC | 180.01% | 216.36% | 183.92% | 235.71% | 177.29% | 107.08% | 76.60% | 71.06% | 49.54% | 48.99% | 61.37% | 48.29% | 40.71% | 47.17% | 44.65% | 38.47% | 42.18% | 32.79% | 30.33% | 24.57% |
+| ROCE/ROIC | 68.87% | 66.21% | 60.46% | 62.26% | 54.99% | 36.53% | 32.27% | 31.41% | 24.76% | 27.69% | 39.31% | 29.57% | 33.94% | 44.78% | 41.60% | 36.58% | 39.42% | 29.29% | 26.98% | 21.33% |
 | 毛利率 | 46.91% | 46.21% | 44.13% | 43.31% | 41.78% | 38.23% | 37.82% | 38.34% | 38.47% | 39.08% | 40.06% | 38.59% | 37.62% | 43.87% | 40.48% | 39.38% | 40.14% | 34.31% | 33.97% | 28.98% |
 | 净利润率 | 26.92% | 23.97% | 25.31% | 25.31% | 25.88% | 20.91% | 21.24% | 22.41% | 21.09% | 21.19% | 22.85% | 21.61% | 21.67% | 26.67% | 23.95% | 21.48% | 19.19% | 14.88% | 14.56% | 10.30% |
 | 收入(亿) | 4,161.61 | 3,910.35 | 3,832.85 | 3,943.28 | 3,658.17 | 2,745.15 | 2,601.74 | 2,655.95 | 2,292.34 | 2,156.39 | 2,337.15 | 1,827.95 | 1,709.10 | 1,565.08 | 1,082.49 | 652.25 | 429.05 | 324.79 | 240.06 | 193.15 |
@@ -30,11 +30,9 @@
 ## 费用指标
 | 指标 | 2025-09-30 | 2024-09-30 | 2023-09-30 | 2022-09-30 | 2021-09-30 | 2020-09-30 | 2019-09-30 | 2018-09-30 | 2017-09-30 | 2016-09-30 | 2015-09-30 | 2014-09-30 | 2013-09-30 | 2012-09-30 | 2011-09-30 | 2010-09-30 | 2009-09-30 | 2008-09-30 | 2007-09-30 | 2006-09-30 |
 |:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 销售费用率 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 管理费用率 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
 | SG&A比例 | 6.63% | 6.67% | 6.50% | 6.36% | 6.01% | 7.25% | 7.01% | 6.29% | 6.66% | 6.58% | 6.13% | 6.56% | 5.69% | 5.78% | 7.02% | 8.46% | 9.67% | 11.58% | 12.34% | 12.60% |
 | 研发费用率 | 8.30% | 8.02% | 7.80% | 6.66% | 5.99% | 6.83% | 6.23% | 5.36% | 5.05% | 4.66% | 3.45% | 3.30% | 2.62% | 2.16% | 2.24% | 2.73% | 3.11% | 3.41% | 3.26% | 3.69% |
-| 其他费用率 | 11.69% | 14.21% | 11.02% | 11.34% | 9.91% | 10.49% | 10.35% | 10.57% | 12.33% | 13.23% | 13.76% | 13.67% | 13.34% | 15.05% | 14.29% | 15.16% | 17.84% | 16.02% | 16.15% | 15.00% |
+| 其他费用率 | 5.06% | 7.54% | 4.52% | 4.98% | 3.90% | 3.23% | 3.33% | 4.28% | 5.67% | 6.65% | 7.63% | 7.11% | 7.64% | 9.27% | 7.27% | 6.70% | 8.17% | 4.44% | 3.81% | 2.40% |
 | 折旧费用占比 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
 | 所得税率 | 15.61% | 24.09% | 14.72% | 16.20% | 13.30% | 14.43% | 15.94% | 18.34% | 24.56% | 25.56% | 26.37% | 26.13% | 26.15% | 25.16% | 24.22% | 24.42% | 31.75% | 29.89% | 30.19% | 29.42% |
 
@@ -67,22 +65,3 @@
 | 固定资产周转率 | 6.82 | 6.99 | 8.77 | 9.36 | 9.28 | 7.47 | 6.96 | 6.43 | 6.79 | 7.98 | 10.40 | 8.86 | 10.30 | 10.13 | 13.92 | 13.68 | 14.52 | 13.23 | 13.10 | 15.08 |
 | 总资产周转率 | 1.16 | 1.07 | 1.09 | 1.12 | 1.04 | 0.85 | 0.77 | 0.73 | 0.61 | 0.67 | 0.80 | 0.79 | 0.83 | 0.89 | 0.93 | 0.87 | 0.80 | 0.82 | 0.95 | 1.12 |
 
-
-## 人均效率
-| 指标 | 2025-09-30 | 2024-09-30 | 2023-09-30 | 2022-09-30 | 2021-09-30 | 2020-09-30 | 2019-09-30 | 2018-09-30 | 2017-09-30 | 2016-09-30 | 2015-09-30 | 2014-09-30 | 2013-09-30 | 2012-09-30 | 2011-09-30 | 2010-09-30 | 2009-09-30 | 2008-09-30 | 2007-09-30 | 2006-09-30 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 员工人数 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 人均创收(万) | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 人均创利(万) | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 人均薪酬(万) | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-
-
-## 市场表现
-| 指标 | 2025-09-30 | 2024-09-30 | 2023-09-30 | 2022-09-30 | 2021-09-30 | 2020-09-30 | 2019-09-30 | 2018-09-30 | 2017-09-30 | 2016-09-30 | 2015-09-30 | 2014-09-30 | 2013-09-30 | 2012-09-30 | 2011-09-30 | 2010-09-30 | 2009-09-30 | 2008-09-30 | 2007-09-30 | 2006-09-30 |
-|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
-| 股价 | 0.00 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 市值(亿) | 40,753 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| PE | 36.76 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| PB | 54.93 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-| 股东户数 | 0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
-

data/US/DQ/raw_market_metrics_overview.csv

@@ -1,2 +1,2 @@
 Symbol,AssetType,Name,Description,CIK,Exchange,Currency,Country,Sector,Industry,Address,OfficialSite,FiscalYearEnd,LatestQuarter,MarketCapitalization,EBITDA,PERatio,PEGRatio,BookValue,DividendPerShare,DividendYield,EPS,RevenuePerShareTTM,ProfitMargin,OperatingMarginTTM,ReturnOnAssetsTTM,ReturnOnEquityTTM,RevenueTTM,GrossProfitTTM,DilutedEPSTTM,QuarterlyEarningsGrowthYOY,QuarterlyRevenueGrowthYOY,AnalystTargetPrice,AnalystRatingStrongBuy,AnalystRatingBuy,AnalystRatingHold,AnalystRatingSell,AnalystRatingStrongSell,TrailingPE,ForwardPE,PriceToSalesRatioTTM,PriceToBookRatio,EVToRevenue,EVToEBITDA,Beta,52WeekHigh,52WeekLow,50DayMovingAverage,200DayMovingAverage,SharesOutstanding,SharesFloat,PercentInsiders,PercentInstitutions,DividendDate,ExDividendDate
-DQ,Common Stock,Daqo New Energy Corp ADR,"Daqo New Energy Corp ADR, headquartered in Shanghai, China, is a leading manufacturer of high-purity crystalline silicon, essential to the rapidly growing solar photovoltaic (PV) market. The company employs advanced manufacturing techniques and prioritizes energy efficiency, positioning itself as a critical player in the global solar supply chain. With a strong focus on innovation and sustainability, Daqo is uniquely positioned to benefit from the increasing global demand for renewable energy solutions. As the solar industry continues to expand, Daqo's expertise in enhancing production capacity will be vital in meeting the future energy needs of the world.",1477641,NYSE,USD,China,TECHNOLOGY,SEMICONDUCTOR EQUIPMENT & MATERIALS,"HUADU MANSION, SHANGHAI, CHINA, 200122",https://www.dqsolar.com,December,2025-09-30,2157885000,-117138000,,0.174,64.46,,,-5.13,9.53,-0.537,-0.083,-0.0332,-0.0736,639063000,-218552992,-5.13,-0.933,0.232,31.31,5,4,3,0,0,-,21.37,3.377,0.496,0.096,6.67,0.659,36.59,12.41,30.39,21.93,67057000,218663000,18.126,46.869,,
+DQ,Common Stock,Daqo New Energy Corp ADR,"Daqo New Energy Corp ADR, headquartered in Shanghai, China, is a leading manufacturer of high-purity crystalline silicon, essential to the rapidly growing solar photovoltaic (PV) market. The company employs advanced manufacturing techniques and prioritizes energy efficiency, positioning itself as a critical player in the global solar supply chain. With a strong focus on innovation and sustainability, Daqo is uniquely positioned to benefit from the increasing global demand for renewable energy solutions. As the solar industry continues to expand, Daqo's expertise in enhancing production capacity will be vital in meeting the future energy needs of the world.",1477641,NYSE,USD,China,TECHNOLOGY,SEMICONDUCTOR EQUIPMENT & MATERIALS,"HUADU MANSION, SHANGHAI, CHINA, 200122",https://www.dqsolar.com,December,2025-09-30,2143803000,-117138000,,0.174,64.46,,,-5.13,9.53,-0.537,-0.083,-0.0332,-0.0736,639063000,-218552992,-5.13,-0.933,0.232,31.31,5,4,3,0,0,-,21.37,3.355,0.492,0.074,6.67,0.659,36.59,12.41,30.46,22.0,67057000,218663000,18.126,46.869,,

data/US/DQ/report.md

@@ -3,7 +3,7 @@
 
 | 代码 | 简称 | 财报日期 | PE | PB | 股息率(%) |
 |:---|:---|:---|:---|:---|:---|
-| DQ | Daqo New Energy Corp ADR | December | 0.00 | 0.50 | 0.00% |
+| DQ | Daqo New Energy Corp ADR | December | 0.00 | 0.49 | 0.00% |
 
 
 ## 主要指标
@@ -32,7 +32,7 @@
 |:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|
 | SG&A比例 | 13.90% | 9.24% | 7.68% | 2.38% | 5.84% | 9.27% | 8.98% | 5.01% | 7.03% | 6.92% | 5.64% | 16.64% | 14.89% | 6.08% | 6.47% | 10.89% | 17.47% | - |
 | 研发费用率 | 0.44% | 0.44% | 0.22% | 0.39% | 1.01% | 1.50% | 0.91% | 0.25% | 1.75% | 0.51% | 0.81% | 3.11% | 4.76% | 0.29% | 0.57% | 2.50% | 8.63% | - |
-| 其他费用率 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
+| 其他费用率 | -1.49% | 11.60% | 26.56% | 17.55% | 8.65% | 3.68% | 10.01% | 9.09% | 7.35% | 6.08% | 8.12% | 21.39% | 66.13% | 14.26% | 8.47% | -3.40% | 1.31% | - |
 | 折旧费用占比 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
 | 所得税率 | 13.49% | 20.23% | 17.80% | 15.73% | 17.38% | 25.40% | 15.88% | 15.59% | 14.35% | 8.02% | 94.02% | -0.58% | -9.96% | 2.00% | 15.66% | 0.80% | 6.83% | - |
 

main.py

@@ -6,13 +6,15 @@ sys.path.append(os.path.join(os.path.dirname(__file__), 'src'))
 
 from strategies.cn_strategy import CN_Strategy
 from strategies.us_strategy import US_Strategy
-
+from strategies.hk_strategy import HK_Strategy
 
 def get_strategy(market, stock_code, tushare_token=None, av_key=None):
     if market.upper() == 'CN':
         return CN_Strategy(stock_code, tushare_token)
     elif market.upper() == 'US':
         return US_Strategy(stock_code, av_key)
+    elif market.upper() == 'HK':
+        return HK_Strategy(stock_code, tushare_token)
     else:
         raise ValueError(f"Unsupported market: {market}")
 
@@ -38,5 +40,9 @@ def main():
         us_strategy = get_strategy('US', 'AAPL', av_key=av_key)
         us_strategy.execute()
 
+        # Test HK
+        hk_strategy = get_strategy('HK', '00700.HK', tushare_token)
+        hk_strategy.execute()
+
 if __name__ == "__main__":
     main()

requirements.txt

@@ -3,3 +3,4 @@ requests
 tushare
 alpha_vantage
 python-dotenv
+markdown

src/analysis/base_analyzer.py

@@ -6,7 +6,7 @@ class BaseAnalyzer:
         self.market = market
         self.mapping = {}
 
-    def process_data(self, df_inc: pd.DataFrame, df_bal: pd.DataFrame, df_cf: pd.DataFrame, market_metrics: dict, historical_metrics: pd.DataFrame = None) -> pd.DataFrame:
+    def process_data(self, df_inc: pd.DataFrame, df_bal: pd.DataFrame, df_cf: pd.DataFrame, market_metrics: dict, historical_metrics: pd.DataFrame = None, df_div: pd.DataFrame = None, df_rep: pd.DataFrame = None) -> pd.DataFrame:
         df_inc = self._map_columns(df_inc, 'income')
         df_bal = self._map_columns(df_bal, 'balance')
         df_cf = self._map_columns(df_cf, 'cashflow')
@@ -23,6 +23,12 @@ class BaseAnalyzer:
             df_merged = pd.merge(df_merged, df_bal, on='date_str', how='outer', suffixes=('', '_bal'))
         if not df_cf.empty:
             df_merged = pd.merge(df_merged, df_cf, on='date_str', how='outer', suffixes=('', '_cf'))
+        
+        if df_div is not None and not df_div.empty:
+            df_merged = pd.merge(df_merged, df_div, on='date_str', how='left', suffixes=('', '_div'))
+
+        if df_rep is not None and not df_rep.empty:
+            df_merged = pd.merge(df_merged, df_rep, on='date_str', how='left', suffixes=('', '_rep'))
 
         if df_merged.empty:
             return pd.DataFrame()

src/analysis/cn_analyzer.py

@@ -175,7 +175,27 @@ class CN_Analyzer(BaseAnalyzer):
                 df_merged['TotalAssetTurnover'] = self._safe_div(df_merged['revenue'], df_merged['total_assets'])
 
         # Market Metrics
-        if not df_merged.empty:
+        if historical_metrics is not None and not historical_metrics.empty:
+            historical_metrics.set_index('date_str', inplace=True)
+            for index, row in df_merged.iterrows():
+                date_str = str(row['date_str'])
+                if date_str in historical_metrics.index:
+                    hist_row = historical_metrics.loc[date_str]
+                    df_merged.loc[index, 'Price'] = hist_row.get('Price')
+                    df_merged.loc[index, 'MarketCap'] = hist_row.get('MarketCap')
+                    df_merged.loc[index, 'PE'] = hist_row.get('PE')
+                    df_merged.loc[index, 'PB'] = hist_row.get('PB')
+                    df_merged.loc[index, 'Shareholders'] = hist_row.get('Shareholders')
+
+            # Fill latest values from market_metrics for the most recent entry
+            if not df_merged.empty:
+                latest_date_idx = df_merged.index[0]
+                df_merged.loc[latest_date_idx, 'Price'] = market_metrics.get('price')
+                df_merged.loc[latest_date_idx, 'MarketCap'] = market_metrics.get('market_cap')
+                df_merged.loc[latest_date_idx, 'PE'] = market_metrics.get('pe')
+                df_merged.loc[latest_date_idx, 'PB'] = market_metrics.get('pb')
+                df_merged.loc[latest_date_idx, 'Shareholders'] = market_metrics.get('total_share_holders')
+        elif not df_merged.empty:
             df_merged.loc[df_merged.index[0], 'Price'] = market_metrics.get('price')
             df_merged.loc[df_merged.index[0], 'MarketCap'] = market_metrics.get('market_cap')
             df_merged.loc[df_merged.index[0], 'PE'] = market_metrics.get('pe')

src/analysis/hk_analyzer.py

@@ -0,0 +1,221 @@
+from .base_analyzer import BaseAnalyzer
+import pandas as pd
+import numpy as np
+
+class HK_Analyzer(BaseAnalyzer):
+    def __init__(self):
+        super().__init__('HK')
+        self.mapping = {
+            'income': {
+                'revenue': 'revenue', 
+                'net_profit_attr_p': 'net_income',
+                # Assuming other fields are similar to CN, will need verification
+                'total_cogs': 'total_costs',
+                'sell_exp': 'selling_exp', 
+                'admin_exp': 'admin_exp', 
+                'fin_exp': 'fin_exp', 
+                'rd_exp': 'rd_exp',
+                'total_profit': 'total_profit', 
+                'income_tax': 'income_tax'
+            },
+            'balance': {
+                'money_cap': 'cash', 
+                'accounts_receiv': 'receivables', 
+                'inventories': 'inventory',
+                'fix_assets': 'fixed_assets', 
+                'total_assets': 'total_assets', 
+                'goodwill': 'goodwill',
+                'prepayment': 'prepayment', 
+                'lt_eqt_invest': 'lt_invest', 
+                'oth_assets': 'other_assets', 
+                'trad_asset': 'trading_assets',
+                'st_borr': 'short_term_debt',
+                'non_cur_liab_due_1y': 'short_term_debt_part',
+                'lt_borr': 'long_term_debt',
+                'bonds_payable': 'long_term_debt_bonds',
+                'total_liab': 'total_liabilities', 
+                'total_share_holder_equity': 'total_equity',
+                'adv_receipts': 'adv_receipts', 
+                'contract_liab': 'contract_liab',
+                'acct_payable': 'accounts_payable',
+            },
+            'cashflow': {
+                'n_cashflow_act': 'ocf',
+                'c_pay_acq_const_fiolta': 'capex', 
+                'c_paid_div_prof_int': 'dividends',
+                'c_paid_to_for_empl': 'cash_paid_for_employees'
+            }
+        }
+
+    def _post_process_columns(self, df, type):
+        if type == 'balance':
+            if 'short_term_debt' not in df.columns: df['short_term_debt'] = 0
+            if 'short_term_debt_part' in df.columns:
+                df['short_term_debt'] = df['short_term_debt'].fillna(0) + df['short_term_debt_part'].fillna(0)
+            
+            if 'long_term_debt' not in df.columns: df['long_term_debt'] = 0
+            if 'long_term_debt_bonds' in df.columns:
+                df['long_term_debt'] = df['long_term_debt'].fillna(0) + df['long_term_debt_bonds'].fillna(0)
+        
+        if type == 'income':
+            if 'gross_profit' not in df.columns and 'revenue' in df.columns and 'cogs' in df.columns:
+                df['gross_profit'] = df['revenue'] - df['cogs']
+
+            if 'ebit' not in df.columns and 'total_profit' in df.columns and 'fin_exp' in df.columns:
+                df['ebit'] = df['total_profit'] + df['fin_exp']
+        return df
+
+    def calculate_indicators(self, df_merged, market_metrics, historical_metrics):
+        
+        def calc_yoy_growth(df, col):
+            growths = []
+            for idx, row in df.iterrows():
+                try:
+                    curr_date = str(row['date_str'])
+                    target_date = str(int(curr_date) - 10000)
+                    
+                    match = df[df['date_str'] == target_date]
+                    if not match.empty and col in row and pd.notna(row[col]):
+                        prev_val = match.iloc[0].get(col)
+                        curr_val = row[col]
+                        if prev_val and prev_val != 0:
+                            growths.append((curr_val - prev_val) / abs(prev_val))
+                        else:
+                            growths.append(np.nan)
+                    else:
+                        growths.append(np.nan)
+                except:
+                    growths.append(np.nan)
+            return growths
+
+        if 'revenue' in df_merged.columns:
+            df_merged['RevenueGrowth'] = calc_yoy_growth(df_merged, 'revenue')
+        if 'net_income' in df_merged.columns:
+            df_merged['NetIncomeGrowth'] = calc_yoy_growth(df_merged, 'net_income')
+        
+        # Margins & Returns
+        if 'gross_profit' in df_merged.columns:
+            df_merged['GrossMargin'] = self._safe_div(df_merged['gross_profit'], df_merged['revenue'])
+        if 'net_income' in df_merged.columns:
+            df_merged['NetMargin'] = self._safe_div(df_merged['net_income'], df_merged['revenue'])
+            if 'total_equity' in df_merged.columns:
+                df_merged['ROE'] = self._safe_div(df_merged['net_income'], df_merged['total_equity'])
+            if 'total_assets' in df_merged.columns:
+                df_merged['ROA'] = self._safe_div(df_merged['net_income'], df_merged['total_assets'])
+
+        # ROIC
+        if 'short_term_debt' in df_merged.columns and 'long_term_debt' in df_merged.columns:
+            df_merged['InterestBearingDebt'] = df_merged['short_term_debt'].fillna(0) + df_merged['long_term_debt'].fillna(0)
+            if 'total_equity' in df_merged.columns:
+                df_merged['InvestedCapital'] = df_merged['total_equity'] + df_merged['InterestBearingDebt']
+                if 'ebit' in df_merged.columns:
+                    df_merged['ROIC'] = self._safe_div(df_merged['ebit'], df_merged['InvestedCapital'])
+        
+        # Cash Flow
+        if 'capex' in df_merged.columns:
+            df_merged['Capex'] = df_merged['capex'].abs()
+            if 'ocf' in df_merged.columns:
+                df_merged['FCF'] = df_merged['ocf'] - df_merged['Capex']
+
+        # Expenses
+        if 'selling_exp' in df_merged.columns:
+            df_merged['SellingRatio'] = self._safe_div(df_merged['selling_exp'], df_merged['revenue'])
+        if 'admin_exp' in df_merged.columns:
+            df_merged['AdminRatio'] = self._safe_div(df_merged['admin_exp'], df_merged['revenue'])
+        if 'rd_exp' in df_merged.columns:
+            df_merged['RDRatio'] = self._safe_div(df_merged['rd_exp'], df_merged['revenue'])
+        df_merged['SgaRatio'] = (df_merged.get('SellingRatio', 0)) + (df_merged.get('AdminRatio', 0))
+        if 'income_tax' in df_merged.columns and 'total_profit' in df_merged.columns:
+            df_merged['TaxRate'] = self._safe_div(df_merged['income_tax'], df_merged['total_profit'])
+
+        # Other Expense Ratio (GrossMargin - Selling - Admin - RD - NetMargin)
+        if 'GrossMargin' in df_merged.columns and 'NetMargin' in df_merged.columns:
+            other_ratio = df_merged['GrossMargin'] - df_merged['NetMargin']
+            if 'SellingRatio' in df_merged.columns: other_ratio = other_ratio - df_merged['SellingRatio'].fillna(0)
+            if 'AdminRatio' in df_merged.columns: other_ratio = other_ratio - df_merged['AdminRatio'].fillna(0)
+            if 'RDRatio' in df_merged.columns: other_ratio = other_ratio - df_merged['RDRatio'].fillna(0)
+            df_merged['OtherExpenseRatio'] = other_ratio
+
+        # Depreciation Expense Ratio
+        if 'depreciation' in df_merged.columns and 'revenue' in df_merged.columns:
+            df_merged['DepreciationRatio'] = self._safe_div(df_merged['depreciation'].abs(), df_merged['revenue'])
+        
+        if 'total_assets' in df_merged.columns:
+            assets = df_merged['total_assets']
+
+            def series_or_zero(column_name: str) -> pd.Series:
+                if column_name in df_merged.columns:
+                    return pd.to_numeric(df_merged[column_name], errors='coerce').fillna(0)
+                return pd.Series(0, index=df_merged.index, dtype='float64')
+
+            # Asset Ratios
+            if 'cash' in df_merged.columns: df_merged['CashRatio'] = self._safe_div(df_merged['cash'], assets)
+            if 'inventory' in df_merged.columns: df_merged['InventoryRatio'] = self._safe_div(df_merged['inventory'], assets)
+            if 'receivables' in df_merged.columns: df_merged['ReceivablesRatio'] = self._safe_div(df_merged['receivables'], assets)
+            if 'accounts_payable' in df_merged.columns: df_merged['PayablesRatio'] = self._safe_div(df_merged['accounts_payable'], assets)
+            if 'prepayment' in df_merged.columns: df_merged['PrepaymentRatio'] = self._safe_div(df_merged['prepayment'], assets)
+            if 'fixed_assets' in df_merged.columns: df_merged['FixedAssetsRatio'] = self._safe_div(df_merged['fixed_assets'], assets)
+            if 'lt_invest' in df_merged.columns: df_merged['LongTermInvestmentRatio'] = self._safe_div(df_merged['lt_invest'], assets)
+            if 'goodwill' in df_merged.columns: df_merged['GoodwillRatio'] = self._safe_div(df_merged['goodwill'], assets)
+
+            known_assets_ratio = (series_or_zero('CashRatio') + series_or_zero('InventoryRatio') + series_or_zero('ReceivablesRatio') +
+                                series_or_zero('PrepaymentRatio') + series_or_zero('FixedAssetsRatio') + series_or_zero('LongTermInvestmentRatio') +
+                                series_or_zero('GoodwillRatio'))
+            df_merged['OtherAssetsRatio'] = 1 - known_assets_ratio
+
+            adv = series_or_zero('adv_receipts') + series_or_zero('contract_liab')
+            df_merged['AdvanceReceiptsRatio'] = self._safe_div(adv, assets)
+
+            st_debt = series_or_zero('short_term_debt')
+            lt_debt = series_or_zero('long_term_debt')
+
+            df_merged['ShortTermDebtRatio'] = self._safe_div(st_debt, assets)
+            df_merged['LongTermDebtRatio'] = self._safe_div(lt_debt, assets)
+            df_merged['InterestBearingDebtRatio'] = self._safe_div(st_debt + lt_debt, assets)
+
+            inv_ratio = series_or_zero('InventoryRatio')
+            rec_ratio = series_or_zero('ReceivablesRatio')
+            prep_ratio = series_or_zero('PrepaymentRatio')
+            pay_ratio = series_or_zero('PayablesRatio')
+            adv_ratio = series_or_zero('AdvanceReceiptsRatio')
+            df_merged['OperatingAssetsRatio'] = inv_ratio + rec_ratio + prep_ratio - pay_ratio - adv_ratio
+
+        # Turnover Days
+        if 'cogs' in df_merged.columns:
+            if 'inventory' in df_merged.columns: 
+                df_merged['InventoryDays'] = self._safe_div(df_merged['inventory'] * 365, df_merged['cogs'])
+            if 'accounts_payable' in df_merged.columns:
+                df_merged['PayablesDays'] = self._safe_div(df_merged['accounts_payable'] * 365, df_merged['cogs'])
+        if 'revenue' in df_merged.columns:
+            if 'receivables' in df_merged.columns:
+                df_merged['ReceivablesDays'] = self._safe_div(df_merged['receivables'] * 365, df_merged['revenue'])
+            if 'fixed_assets' in df_merged.columns:
+                df_merged['FixedAssetsTurnover'] = self._safe_div(df_merged['revenue'], df_merged['fixed_assets'])
+            if 'total_assets' in df_merged.columns:
+                df_merged['TotalAssetTurnover'] = self._safe_div(df_merged['revenue'], df_merged['total_assets'])
+
+        # Market Metrics
+        if not df_merged.empty:
+            df_merged.loc[df_merged.index[0], 'Price'] = market_metrics.get('price')
+            df_merged.loc[df_merged.index[0], 'MarketCap'] = market_metrics.get('market_cap')
+            df_merged.loc[df_merged.index[0], 'PE'] = market_metrics.get('pe')
+            df_merged.loc[df_merged.index[0], 'PB'] = market_metrics.get('pb')
+            df_merged.loc[df_merged.index[0], 'Shareholders'] = market_metrics.get('total_share_holders')
+        
+        # Employees & Per-Employee Metrics
+        if not df_merged.empty:
+             annual_mask = df_merged['date_str'].str.endswith('1231')
+             annual_idxs = df_merged.index[annual_mask]
+             if len(annual_idxs) > 0:
+                 target_idx = annual_idxs[0]
+                 emps = market_metrics.get('employee_count', 0)
+                 if emps > 0:
+                     df_merged.loc[target_idx, 'Employees'] = emps
+                     if 'revenue' in df_merged.columns:
+                         df_merged.loc[target_idx, 'RevenuePerEmp'] = df_merged.loc[target_idx, 'revenue'] / emps
+                     if 'net_income' in df_merged.columns:
+                         df_merged.loc[target_idx, 'ProfitPerEmp'] = df_merged.loc[target_idx, 'net_income'] / emps
+                     if 'cash_paid_for_employees' in df_merged.columns:
+                         df_merged.loc[target_idx, 'AvgWage'] = df_merged.loc[target_idx, 'cash_paid_for_employees'] / emps
+        
+        return df_merged

src/fetchers/cn_fetcher.py

@@ -4,7 +4,7 @@ from .base import DataFetcher
 import time
 from storage.file_io import DataStorage
 
-class TushareFetcher(DataFetcher):
+class CnFetcher(DataFetcher):
     def __init__(self, api_key: str):
         super().__init__(api_key)
         ts.set_token(self.api_key)
@@ -14,144 +14,66 @@ class TushareFetcher(DataFetcher):
     def _save_raw_data(self, df: pd.DataFrame, symbol: str, name: str):
         if df is None or df.empty:
             return
-        market = 'CN' # Default
-        if '.HK' in symbol.upper():
-            market = 'HK'
-        elif '.SZ' in symbol.upper() or '.SH' in symbol.upper():
-            market = 'CN'
-        
+        market = 'CN'
         self.storage.save_data(df, market, symbol, f"raw_{name}")
 
     def _get_ts_code(self, symbol: str) -> str:
-        # Tushare requires suffix: .SH, .SZ for CN; .HK for HK
-        # Input might be bare code '600519' or '00700'
-        # Simple heuristic: if 5 digits, likelihood HK (but could be others). 
-        # Better: User passes full code or we default. 
-        # Implementation assumes user provides Tushare compatible code or we try to guess.
-        # For now, return as is if it has suffix, otherwise guess based on length?
-        # A safer bet is to require the user to pass '600519.SH' or '00700.HK'
         return symbol
 
     def _filter_data(self, df: pd.DataFrame) -> pd.DataFrame:
-        """
-        Filter logic:
-        1. Sort by end_date (desc).
-        2. Remove duplicates (keep first/latest announcement).
-        3. Select Latest Quarter.
-        4. Select last 10 Annual Reports (end_date ends with '1231').
-        5. Combine and return.
-        """
         if df.empty or 'end_date' not in df.columns:
             return df
-
-        # Ensure sorted by date descending
-        # Tushare often has 'ann_date' (announcement date) and 'end_date' (report period). 
-        # We sort by end_date mostly. 
-        # Note: If multiple records exist for same end_date (revisions), the API generally puts latest revision first if we sort properly?
-        # Default behavior: sort by end_date desc.
         df = df.sort_values(by='end_date', ascending=False)
-        
-        # Deduplicate: one record per end_date
         df = df.drop_duplicates(subset=['end_date'], keep='first')
-
         if df.empty:
             return df
-
-        # 1. Latest Quarter (The most recent record)
         latest_record = df.iloc[[0]]
-        
-        # 2. Comparable Period Last Year (for Growth Rate)
-        # If latest is 20240930, we need 20230930.
         try:
             latest_date_str = str(latest_record['end_date'].values[0])
             last_year_date_str = str(int(latest_date_str) - 10000)
             comparable_record = df[df['end_date'].astype(str) == last_year_date_str]
         except:
             comparable_record = pd.DataFrame()
-
-        # 3. Annual Reports (end_date ends with '1231')
-        # Tushare dates are YYYYMMDD string or int. Cast to str to be safe.
         is_annual = df['end_date'].astype(str).str.endswith('1231')
         annual_records = df[is_annual]
-
-        # 4. Combine
         combined = pd.concat([latest_record, comparable_record, annual_records])
-        
-        # 5. Deduplicate again (in case latest IS an annual report)
         combined = combined.drop_duplicates(subset=['end_date'])
-        
-        # 5. Final Sort
         combined = combined.sort_values(by='end_date', ascending=False)
-        
         return combined
 
     def get_income_statement(self, symbol: str) -> pd.DataFrame:
         ts_code = self._get_ts_code(symbol)
-        if ts_code.endswith('.HK'):
-            df = self.pro.hk_income(ts_code=ts_code)
-            self._save_raw_data(df, ts_code, "income_statement_hk")
-            # HK mapping might differ slightly, checking common fields
-            # HK Tushare usually has 'revenue', 'net_profit_attr_p'
-            rename_map = {
-                'end_date': 'date',
-                'revenue': 'revenue',
-                'net_profit_attr_p': 'net_income' # HK specific
-            }
-        else:
-            df = self.pro.income(ts_code=ts_code)
-            self._save_raw_data(df, ts_code, "income_statement")
-            rename_map = {
-                'end_date': 'date',
-                'revenue': 'revenue',
-                'n_income_attr_p': 'net_income'
-            }
-        
+        df = self.pro.income(ts_code=ts_code)
+        self._save_raw_data(df, ts_code, "income_statement")
+        rename_map = {
+            'end_date': 'date',
+            'revenue': 'revenue',
+            'n_income_attr_p': 'net_income'
+        }
         df = self._filter_data(df)
-        
-        # Rename columns but keep all data
         df = df.rename(columns=rename_map)
         return df
 
     def get_balance_sheet(self, symbol: str) -> pd.DataFrame:
         ts_code = self._get_ts_code(symbol)
-        if ts_code.endswith('.HK'):
-            df = self.pro.hk_balancesheet(ts_code=ts_code)
-            self._save_raw_data(df, ts_code, "balance_sheet_hk")
-            # HK mapping
-            rename_map = {
-                'end_date': 'date',
-                'total_share_holder_equity': 'total_equity', # verify this field name for HK
-                'total_liab': 'total_liabilities',
-                'total_cur_asset': 'current_assets',
-                'total_cur_liab': 'current_liabilities'
-            }
-        else:
-            df = self.pro.balancesheet(ts_code=ts_code)
-            self._save_raw_data(df, ts_code, "balance_sheet")
-            rename_map = {
-                'end_date': 'date',
-                'total_hldr_eqy_exc_min_int': 'total_equity',
-                'total_liab': 'total_liabilities',
-                'total_cur_assets': 'current_assets',
-                'total_cur_liab': 'current_liabilities'
-            }
-            
+        df = self.pro.balancesheet(ts_code=ts_code)
+        self._save_raw_data(df, ts_code, "balance_sheet")
+        rename_map = {
+            'end_date': 'date',
+            'total_hldr_eqy_exc_min_int': 'total_equity',
+            'total_liab': 'total_liabilities',
+            'total_cur_assets': 'current_assets',
+            'total_cur_liab': 'current_liabilities'
+        }
         df = self._filter_data(df)
-            
         df = df.rename(columns=rename_map)
         return df
 
     def get_cash_flow(self, symbol: str) -> pd.DataFrame:
         ts_code = self._get_ts_code(symbol)
-        if ts_code.endswith('.HK'):
-            df = self.pro.hk_cashflow(ts_code=ts_code)
-            self._save_raw_data(df, ts_code, "cash_flow_hk")
-        else:
-            df = self.pro.cashflow(ts_code=ts_code)
-            self._save_raw_data(df, ts_code, "cash_flow")
-            
+        df = self.pro.cashflow(ts_code=ts_code)
+        self._save_raw_data(df, ts_code, "cash_flow")
         df = self._filter_data(df)
-            
         df = df.rename(columns={
             'end_date': 'date', 
             'n_cashflow_act': 'net_cash_flow',
@@ -171,50 +93,26 @@ class TushareFetcher(DataFetcher):
         }
         
         try:
-            # 1. Daily Basic (Price, PE, PB, Market Cap)
-            # Fetch latest available
             df_daily = self.pro.daily_basic(ts_code=ts_code, limit=1)
             self._save_raw_data(df_daily, ts_code, "market_metrics_daily_basic")
-            # If empty (limit=1 might return empty if today is holiday?), try range. 
-            # Tushare daily_basic usually returns latest if no date specified? 
-            # Actually limit=1 without date might work? Or need start_date/end_date.
-            # Let's try fetching without date args, Tushare usually requires date or returns range.
-            # Easier: Fetch for specific recent date? Or just query last 10 days and take head(1).
-            # To be safe, let's just try no args (latest).
-            if df_daily.empty:
-                 # Fallback: get trade cal and find last trade date?
-                 # Simplified: user wants "latest". 
-                 pass
-            else:
+            if not df_daily.empty:
                  row = df_daily.iloc[0]
                  metrics["price"] = row.get('close', 0.0)
                  metrics["pe"] = row.get('pe', 0.0)
                  metrics["pb"] = row.get('pb', 0.0)
-                 # total_mv is usually in ten thousands? Or standard? 
-                 # Tushare doc: total_mv is "Total Market Value (10k)". 
-                 # User wants units? We'll normalize to raw value or 10k later. 
-                 # Let's keep it as is (10k units) and note it, or convert to full value.
-                 # AlphaVantage returns full value. Let's convert Tushare to full value to standardize?
-                 # Wait, user asked for "Market Cap (Yi Yuan)".
-                 # Tushare total_mv is 10k CNY. So 10000 -> 1 Yi. 
-                 # Let's store raw 10k value * 10000 = full value.
                  metrics["market_cap"] = row.get('total_mv', 0.0) * 10000 
                  metrics["dividend_yield"] = row.get('dv_ttm', 0.0)
 
-            # 1.5 Stock Basic (Name, List Date)
             df_basic = self.pro.stock_basic(ts_code=ts_code, fields='name,list_date')
             self._save_raw_data(df_basic, ts_code, "market_metrics_stock_basic")
             if not df_basic.empty:
                 metrics['name'] = df_basic.iloc[0]['name']
                 metrics['list_date'] = df_basic.iloc[0]['list_date'] 
 
-            # 2. Stock Company (Employees)
-            df_comp = self.pro.stock_company(ts_code=ts_code, fields='employees')
+            df_comp = self.pro.stock_company(ts_code=ts_code)
             if not df_comp.empty:
                 metrics["employee_count"] = int(df_comp.iloc[0].get('employees', 0) or 0)
                 
-            # 3. Shareholder Number (Latest)
-            # Tushare interface: stk_holdernumber
             df_holder = self.pro.stk_holdernumber(ts_code=ts_code, limit=1)
             self._save_raw_data(df_holder, ts_code, "market_metrics_shareholder_number")
             if not df_holder.empty:
@@ -226,17 +124,12 @@ class TushareFetcher(DataFetcher):
         return metrics
 
     def get_historical_metrics(self, symbol: str, dates: list) -> pd.DataFrame:
-        """
-        Fetch historical market metrics (Price, PE, PB, MarketCap, Shareholders) for specific dates.
-        Optimized to fetch data in bulk ranges to reduce API calls.
-        """
         ts_code = self._get_ts_code(symbol)
         results = []
         
         if not dates:
             return pd.DataFrame()
 
-        # Deduplicate and sort dates
         unique_dates = sorted(list(set([str(d).replace('-', '') for d in dates])), reverse=True)
         
         try:
@@ -244,13 +137,11 @@ class TushareFetcher(DataFetcher):
             min_date = min(unique_dates)
             max_date = max(unique_dates)
             
-            # 1. Bulk fetch daily basic metrics for the entire date range
             df_daily = self.pro.daily_basic(ts_code=ts_code, start_date=min_date, end_date=max_date)
             self._save_raw_data(df_daily, ts_code, "historical_metrics_daily_basic")
             if not df_daily.empty:
                 df_daily = df_daily.sort_values('trade_date', ascending=False)
 
-            # 2. Bulk fetch shareholder data for the entire date range
             df_holder = self.pro.stk_holdernumber(ts_code=ts_code, start_date=min_date, end_date=max_date)
             self._save_raw_data(df_holder, ts_code, "historical_metrics_shareholder_number")
             if not df_holder.empty:
@@ -259,7 +150,6 @@ class TushareFetcher(DataFetcher):
             for date_str in unique_dates:
                 metrics = {'date_str': date_str}
                 
-                # Find closest daily metric data (on or before the target date)
                 if not df_daily.empty:
                     closest_daily = df_daily[df_daily['trade_date'] <= date_str]
                     if not closest_daily.empty:
@@ -269,7 +159,6 @@ class TushareFetcher(DataFetcher):
                         metrics['PB'] = row.get('pb')
                         metrics['MarketCap'] = row.get('total_mv', 0) * 10000
                 
-                # Find closest shareholder data
                 if not df_holder.empty:
                     closest_holder = df_holder[df_holder['end_date'] <= date_str]
                     if not closest_holder.empty:
@@ -281,3 +170,74 @@ class TushareFetcher(DataFetcher):
             print(f"Error fetching historical metrics for {symbol}: {e}")
             
         return pd.DataFrame(results)
+
+    def get_dividends(self, symbol: str) -> pd.DataFrame:
+        ts_code = self._get_ts_code(symbol)
+        df_div = self.pro.dividend(ts_code=ts_code, fields='end_date,ex_date,div_proc,cash_div')
+        self._save_raw_data(df_div, ts_code, "dividends_raw")
+
+        if df_div.empty:
+            return pd.DataFrame()
+
+        # Filter for implemented cash dividends
+        df_div = df_div[(df_div['div_proc'] == '实施') & (df_div['cash_div'] > 0)]
+        
+        if df_div.empty:
+            return pd.DataFrame()
+
+        df_div['total_cash_div'] = 0.0
+
+        # Get total shares for each ex_date
+        for index, row in df_div.iterrows():
+            ex_date = row['ex_date']
+            if not ex_date or pd.isna(ex_date):
+                continue
+            
+            try:
+                time.sleep(0.2) # Sleep for 200ms to avoid hitting API limits
+                df_daily = self.pro.daily_basic(ts_code=ts_code, trade_date=ex_date, fields='total_share')
+                
+                if not df_daily.empty and not df_daily['total_share'].empty:
+                    total_share = df_daily.iloc[0]['total_share'] # total_share is in 万股 (10k shares)
+                    cash_div_per_share = row['cash_div'] # This is per-share
+                    
+                    # Total dividend in Yuan
+                    total_cash_dividend = (cash_div_per_share * total_share * 10000) 
+                    df_div.loc[index, 'total_cash_div'] = total_cash_dividend
+            except Exception as e:
+                print(f"Could not fetch daily basic for {ts_code} on {ex_date}: {e}")
+
+        df_div['year'] = pd.to_datetime(df_div['end_date']).dt.year
+        dividends_by_year = df_div.groupby('year')['total_cash_div'].sum().reset_index()
+
+        dividends_by_year['date_str'] = dividends_by_year['year'].astype(str) + '1231'
+        dividends_by_year.rename(columns={'total_cash_div': 'dividends'}, inplace=True)
+        
+        return dividends_by_year[['date_str', 'dividends']]
+
+    def get_repurchases(self, symbol: str) -> pd.DataFrame:
+        ts_code = self._get_ts_code(symbol)
+        df = self.pro.repurchase(ts_code=ts_code)
+        self._save_raw_data(df, ts_code, "repurchases")
+
+        if df.empty or 'ann_date' not in df.columns or 'amount' not in df.columns:
+            return pd.DataFrame()
+
+        # Filter for repurchases with a valid amount
+        df = df[df['amount'] > 0]
+
+        if df.empty:
+            return pd.DataFrame()
+
+        # Extract year and group by it
+        df['year'] = pd.to_datetime(df['ann_date']).dt.year
+        repurchases_by_year = df.groupby('year')['amount'].sum().reset_index()
+
+        # Create date_str for merging (YYYY1231)
+        repurchases_by_year['date_str'] = repurchases_by_year['year'].astype(str) + '1231'
+
+        # Rename for merging.
+        # Based on user feedback, it appears the unit from the API is Yuan, so no conversion is needed.
+        repurchases_by_year.rename(columns={'amount': 'repurchases'}, inplace=True)
+
+        return repurchases_by_year[['date_str', 'repurchases']]

src/fetchers/factory.py

@@ -1,18 +1,23 @@
-from .tushare_fetcher import TushareFetcher
-from .alpha_vantage_fetcher import AlphaVantageFetcher
+from .cn_fetcher import CnFetcher
+from .hk_fetcher import HkFetcher
+from .us_fetcher import UsFetcher
 from .base import DataFetcher
 
 class FetcherFactory:
     @staticmethod
     def get_fetcher(market: str, tushare_token: str = None, av_key: str = None) -> DataFetcher:
         market = market.upper()
-        if market in ['CN', 'HK']:
+        if market == 'CN':
             if not tushare_token:
-                raise ValueError("Tushare token is required for CN/HK markets")
-            return TushareFetcher(tushare_token)
-        elif market in ['US', 'JP']:
+                raise ValueError("Tushare token is required for CN market")
+            return CnFetcher(tushare_token)
+        if market == 'HK':
+            if not tushare_token:
+                raise ValueError("Tushare token is required for HK market")
+            return HkFetcher(tushare_token)
+        elif market == 'US':
             if not av_key:
-                raise ValueError("Alpha Vantage key is required for US/JP markets")
-            return AlphaVantageFetcher(av_key)
+                raise ValueError("Alpha Vantage key is required for US market")
+            return UsFetcher(av_key)
         else:
             raise ValueError(f"Unsupported market: {market}")

src/fetchers/hk_fetcher.py

@@ -0,0 +1,172 @@
+import tushare as ts
+import pandas as pd
+from .base import DataFetcher
+import time
+from storage.file_io import DataStorage
+
+class HkFetcher(DataFetcher):
+    def __init__(self, api_key: str):
+        super().__init__(api_key)
+        ts.set_token(self.api_key)
+        self.pro = ts.pro_api()
+        self.storage = DataStorage()
+
+    def _save_raw_data(self, df: pd.DataFrame, symbol: str, name: str):
+        if df is None or df.empty:
+            return
+        market = 'HK'
+        self.storage.save_data(df, market, symbol, f"raw_{name}")
+
+    def _get_ts_code(self, symbol: str) -> str:
+        return symbol
+
+    def _filter_data(self, df: pd.DataFrame) -> pd.DataFrame:
+        if df.empty or 'end_date' not in df.columns:
+            return df
+        df = df.sort_values(by='end_date', ascending=False)
+        df = df.drop_duplicates(subset=['end_date'], keep='first')
+        if df.empty:
+            return df
+        latest_record = df.iloc[[0]]
+        try:
+            latest_date_str = str(latest_record['end_date'].values[0])
+            last_year_date_str = str(int(latest_date_str) - 10000)
+            comparable_record = df[df['end_date'].astype(str) == last_year_date_str]
+        except:
+            comparable_record = pd.DataFrame()
+        is_annual = df['end_date'].astype(str).str.endswith('1231')
+        annual_records = df[is_annual]
+        combined = pd.concat([latest_record, comparable_record, annual_records])
+        combined = combined.drop_duplicates(subset=['end_date'])
+        combined = combined.sort_values(by='end_date', ascending=False)
+        return combined
+
+    def get_income_statement(self, symbol: str) -> pd.DataFrame:
+        ts_code = self._get_ts_code(symbol)
+        df = self.pro.hk_income(ts_code=ts_code)
+        self._save_raw_data(df, ts_code, "income_statement_hk")
+        rename_map = {
+            'end_date': 'date',
+            'revenue': 'revenue',
+            'net_profit_attr_p': 'net_income'
+        }
+        df = self._filter_data(df)
+        df = df.rename(columns=rename_map)
+        return df
+
+    def get_balance_sheet(self, symbol: str) -> pd.DataFrame:
+        ts_code = self._get_ts_code(symbol)
+        df = self.pro.hk_balancesheet(ts_code=ts_code)
+        self._save_raw_data(df, ts_code, "balance_sheet_hk")
+        rename_map = {
+            'end_date': 'date',
+            'total_share_holder_equity': 'total_equity',
+            'total_liab': 'total_liabilities',
+            'total_cur_asset': 'current_assets',
+            'total_cur_liab': 'current_liabilities'
+        }
+        df = self._filter_data(df)
+        df = df.rename(columns=rename_map)
+        return df
+
+    def get_cash_flow(self, symbol: str) -> pd.DataFrame:
+        ts_code = self._get_ts_code(symbol)
+        df = self.pro.hk_cashflow(ts_code=ts_code)
+        self._save_raw_data(df, ts_code, "cash_flow_hk")
+        df = self._filter_data(df)
+        df = df.rename(columns={
+            'end_date': 'date', 
+            'n_cashflow_act': 'net_cash_flow',
+            'depr_fa_coga_dpba': 'depreciation'
+        })
+        return df
+
+    def get_market_metrics(self, symbol: str) -> dict:
+        ts_code = self._get_ts_code(symbol)
+        metrics = {
+            "price": 0.0,
+            "market_cap": 0.0,
+            "pe": 0.0,
+            "pb": 0.0,
+            "total_share_holders": 0,
+            "employee_count": 0
+        }
+        
+        try:
+            df_daily = self.pro.daily_basic(ts_code=ts_code, limit=1)
+            self._save_raw_data(df_daily, ts_code, "market_metrics_daily_basic")
+            if not df_daily.empty:
+                 row = df_daily.iloc[0]
+                 metrics["price"] = row.get('close', 0.0)
+                 metrics["pe"] = row.get('pe', 0.0)
+                 metrics["pb"] = row.get('pb', 0.0)
+                 metrics["market_cap"] = row.get('total_mv', 0.0) * 10000 
+                 metrics["dividend_yield"] = row.get('dv_ttm', 0.0)
+
+            df_basic = self.pro.stock_basic(ts_code=ts_code)
+            self._save_raw_data(df_basic, ts_code, "market_metrics_stock_basic")
+            if not df_basic.empty:
+                metrics['name'] = df_basic.iloc[0]['name']
+                metrics['list_date'] = df_basic.iloc[0]['list_date'] 
+
+            df_comp = self.pro.stock_company(ts_code=ts_code)
+            if not df_comp.empty:
+                metrics["employee_count"] = int(df_comp.iloc[0].get('employees', 0) or 0)
+                
+            df_holder = self.pro.stk_holdernumber(ts_code=ts_code, limit=1)
+            self._save_raw_data(df_holder, ts_code, "market_metrics_shareholder_number")
+            if not df_holder.empty:
+                 metrics["total_share_holders"] = int(df_holder.iloc[0].get('holder_num', 0) or 0)
+                 
+        except Exception as e:
+            print(f"Error fetching market metrics for {symbol}: {e}")
+            
+        return metrics
+
+    def get_historical_metrics(self, symbol: str, dates: list) -> pd.DataFrame:
+        ts_code = self._get_ts_code(symbol)
+        results = []
+        
+        if not dates:
+            return pd.DataFrame()
+
+        unique_dates = sorted(list(set([str(d).replace('-', '') for d in dates])), reverse=True)
+        
+        try:
+            import datetime
+            min_date = min(unique_dates)
+            max_date = max(unique_dates)
+            
+            df_daily = self.pro.daily_basic(ts_code=ts_code, start_date=min_date, end_date=max_date)
+            self._save_raw_data(df_daily, ts_code, "historical_metrics_daily_basic")
+            if not df_daily.empty:
+                df_daily = df_daily.sort_values('trade_date', ascending=False)
+
+            df_holder = self.pro.stk_holdernumber(ts_code=ts_code, start_date=min_date, end_date=max_date)
+            self._save_raw_data(df_holder, ts_code, "historical_metrics_shareholder_number")
+            if not df_holder.empty:
+                df_holder = df_holder.sort_values('end_date', ascending=False)
+            
+            for date_str in unique_dates:
+                metrics = {'date_str': date_str}
+                
+                if not df_daily.empty:
+                    closest_daily = df_daily[df_daily['trade_date'] <= date_str]
+                    if not closest_daily.empty:
+                        row = closest_daily.iloc[0]
+                        metrics['Price'] = row.get('close')
+                        metrics['PE'] = row.get('pe')
+                        metrics['PB'] = row.get('pb')
+                        metrics['MarketCap'] = row.get('total_mv', 0) * 10000
+                
+                if not df_holder.empty:
+                    closest_holder = df_holder[df_holder['end_date'] <= date_str]
+                    if not closest_holder.empty:
+                        metrics['Shareholders'] = closest_holder.iloc[0].get('holder_num')
+                
+                results.append(metrics)
+
+        except Exception as e:
+            print(f"Error fetching historical metrics for {symbol}: {e}")
+            
+        return pd.DataFrame(results)

src/fetchers/us_fetcher.py

@@ -4,7 +4,7 @@ import time
 from .base import DataFetcher
 from storage.file_io import DataStorage
 
-class AlphaVantageFetcher(DataFetcher):
+class UsFetcher(DataFetcher):
     BASE_URL = "https://www.alphavantage.co/query"
 
     def __init__(self, api_key: str):
@@ -171,4 +171,3 @@ class AlphaVantageFetcher(DataFetcher):
             if col in df.columns:
                 df[col] = pd.to_numeric(df[col], errors='coerce')
         return df
-

src/reporting/cn_report_generator.py

@@ -22,6 +22,7 @@ class CN_ReportGenerator(BaseReporter):
                 ('Capex', '资本开支(亿)', 'currency_yi'),
                 ('FCF', '自由现金流(亿)', 'currency_yi_compare'),
                 ('dividends', '分红(亿)', 'currency_yi'),
+                ('repurchases', '回购(亿)', 'currency_yi'),
                 ('total_assets', '总资产(亿)', 'currency_yi'),
                 ('total_equity', '净资产(亿)', 'currency_yi'),
                 ('goodwill', '商誉(亿)', 'currency_yi')
@@ -83,6 +84,30 @@ class CN_ReportGenerator(BaseReporter):
             df = df[is_annual | is_latest_year]
         return df
 
+    def _format_period_label(self, date_value):
+        if pd.isna(date_value):
+            return "-"
+        date_str = str(date_value)
+        if len(date_str) != 8:
+            return date_str
+        year = date_str[:4]
+        month = date_str[4:6]
+        day = date_str[6:]
+        try:
+            month_int = int(month)
+            day_int = int(day)
+        except ValueError:
+            return f"{year}-{month}-{day}"
+        if month_int == 12 and day_int >= 28:
+            return f"{year}A"
+        if month_int in (3, 6, 9) and day_int >= 28:
+            quarter = month_int // 3
+            return f"{year}Q{quarter}"
+        return f"{year}-{month}-{day}"
+
+    def _get_headers(self, df):
+        return [self._format_period_label(date_value) for date_value in df['date_str']]
+
     def _generate_md_company_info(self, symbol, metrics, market):
         today_str = datetime.date.today().strftime("%Y-%m-%d")
         name = metrics.get('name', '')
@@ -91,10 +116,9 @@ class CN_ReportGenerator(BaseReporter):
             list_date = f"{raw_list_date[:4]}-{raw_list_date[4:6]}-{raw_list_date[6:]}"
         else:
             list_date = raw_list_date
-        pe = metrics.get('pe', 0)
-        pb = metrics.get('pb', 0)
-        div = metrics.get('dividend_yield', 0)
-        
+        pe = metrics.get('pe', 0) or 0
+        pb = metrics.get('pb', 0) or 0
+        div = metrics.get('dividend_yield', 0) or 0        
         md = []
         md.append(f"# {name} ({symbol}) - Financial Report")
         md.append(f"*Report generated on: {today_str}*\n")
@@ -114,26 +138,453 @@ class CN_ReportGenerator(BaseReporter):
         print(f"Markdown report saved to {md_path}")
 
         # 3. Convert to HTML and save
-        html_content = markdown.markdown(md_content, extensions=['tables'])
-        styled_html = f"""
+        df_for_html = df_analysis.copy() if isinstance(df_analysis, pd.DataFrame) else pd.DataFrame()
+        if not df_for_html.empty:
+            df_for_html = self._preprocess_data(df_for_html, market)
+            headers = self._get_headers(df_for_html)
+        else:
+            headers = []
+        html_content = self._build_html_content(symbol, metrics, headers, df_for_html)
+        final_html = self.to_html(symbol, html_content)
+
+        html_path = os.path.join(output_dir, "report.html")
+        with open(html_path, "w", encoding='utf-8') as f:
+            f.write(final_html)
+        print(f"HTML report saved to {html_path}")
+
+    def _build_html_content(self, symbol, metrics, headers, df):
+        today_str = datetime.date.today().strftime("%Y-%m-%d")
+        name = metrics.get('name') or symbol
+        raw_list_date = metrics.get('list_date', '')
+        if isinstance(raw_list_date, str) and len(raw_list_date) == 8:
+            list_date = f"{raw_list_date[:4]}-{raw_list_date[4:6]}-{raw_list_date[6:]}"
+        else:
+            list_date = raw_list_date or "-"
+        pe = metrics.get('pe', 0) or 0
+        pb = metrics.get('pb', 0) or 0
+        div = metrics.get('dividend_yield', 0) or 0
+
+        company_table = f"""
+        <table class="company-table">
+            <thead>
+                <tr>
+                    <th>代码</th>
+                    <th>简称</th>
+                    <th>上市日期</th>
+                    <th>PE</th>
+                    <th>PB</th>
+                    <th>股息率(%)</th>
+                </tr>
+            </thead>
+            <tbody>
+                <tr>
+                    <td>{symbol}</td>
+                    <td>{name}</td>
+                    <td>{list_date}</td>
+                    <td>{pe:.2f}</td>
+                    <td>{pb:.2f}</td>
+                    <td>{div:.2f}%</td>
+                </tr>
+            </tbody>
+        </table>
+        """
+
+        if df is None or df.empty or not headers:
+            metrics_table = "<p class=\"no-data\">暂无可用财务指标</p>"
+        else:
+            header_cells = "".join([f"<th>{header}</th>" for header in headers])
+            data_column_count = max(len(headers), 1)
+            rows_html = []
+            for group_name, items in self.indicators.items():
+                rows_html.append(
+                    f"<tr class=\"section-row\">"
+                    f"<td class=\"section-label\">{group_name}</td>"
+                    f"<td class=\"section-spacer\" colspan=\"{data_column_count}\"></td>"
+                    "</tr>"
+                )
+                for key, label, fmt_type in items:
+                    value_cells = [f"<td class=\"metric-name\">{label}</td>"]
+                    for _, row_series in df.iterrows():
+                        value_cells.append(f"<td>{self._format_value(row_series.get(key), fmt_type)}</td>")
+                    row_class = "other-assets-row" if key == 'OtherAssetsRatio' else ""
+                    if row_class:
+                        rows_html.append(f"<tr class=\"{row_class}\">{''.join(value_cells)}</tr>")
+                    else:
+                        rows_html.append(f"<tr>{''.join(value_cells)}</tr>")
+            rows_markup = "\n".join(rows_html)
+            metrics_table = f"""
+            <table class="metrics-table" data-table="metrics" data-scrollable="true">
+                <thead>
+                    <tr>
+                        <th>指标</th>
+                        {header_cells}
+                    </tr>
+                </thead>
+                <tbody>
+                    {rows_markup}
+                </tbody>
+            </table>
+            """
+
+        html_sections = [
+            f"<h1>{name} ({symbol}) - Financial Report</h1>",
+            f"<p><em>Report generated on: {today_str}</em></p>",
+            company_table,
+            '<div class="table-gap"></div>',
+            metrics_table
+        ]
+        return "\n".join(html_sections)
+
+    def to_html(self, symbol, html_content):
+        styled_html = '''
         <html>
             <head>
+                <meta charset="utf-8" />
+                <meta name="viewport" content="width=device-width, initial-scale=1" />
                 <title>{symbol} Financial Report</title>
                 <style>
-                    body {{ font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif; line-height: 1.6; }}
-                    table {{ border-collapse: collapse; width: 100%; margin-bottom: 1rem; }}
-                    th, td {{ border: 1px solid #dee2e6; padding: 0.75rem; vertical-align: top; }}
-                    thead th {{ vertical-align: bottom; border-bottom: 2px solid #dee2e6; }}
-                    tbody tr:nth-child(even) {{ background-color: #f8f9fa; }}
-                    h1, h2 {{ border-bottom: 1px solid #dee2e6; padding-bottom: 0.5rem; }}
+                    :root {
+                        --bg: #f5f6fa;
+                        --card-bg: #ffffff;
+                        --header-bg: #f7f8fb;
+                        --section-bg: #f0f2f5;
+                        --border: #e5e7eb;
+                        --text-primary: #111827;
+                        --text-secondary: #6b7280;
+                    }
+
+                    * {
+                        box-sizing: border-box;
+                    }
+
+                    body {
+                        margin: 0;
+                        padding: 32px;
+                        background: var(--bg);
+                        font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
+                        color: var(--text-primary);
+                        line-height: 1.6;
+                    }
+
+                    .report-container {
+                        max-width: 1280px;
+                        margin: 0 auto;
+                        background: var(--card-bg);
+                        border-radius: 24px;
+                        padding: 32px 40px;
+                        box-shadow: 0 24px 60px rgba(15, 23, 42, 0.08);
+                    }
+
+                    h1 {
+                        margin: 0 0 8px;
+                        font-size: 28px;
+                        font-weight: 600;
+                        color: var(--text-primary);
+                    }
+
+                    p {
+                        margin: 0 0 24px;
+                        color: var(--text-secondary);
+                        font-size: 0.95rem;
+                    }
+
+                    table {
+                        width: 100%;
+                        border-collapse: collapse;
+                        background: var(--card-bg);
+                    }
+
+                    th,
+                    td {
+                        font-size: 0.95rem;
+                        padding: 12px 16px;
+                        border-bottom: 1px solid var(--border);
+                    }
+
+                    th {
+                        font-weight: 600;
+                        color: var(--text-secondary);
+                        text-align: right;
+                        background: var(--header-bg);
+                    }
+
+                    th:first-child,
+                    td:first-child {
+                        text-align: left;
+                    }
+
+                    .company-table th,
+                    .company-table td {
+                        text-align: left;
+                    }
+
+                    .metrics-table thead {
+                        position: sticky;
+                        top: 0;
+                        z-index: 3;
+                    }
+
+                    .metrics-table thead th {
+                        position: sticky;
+                        top: 0;
+                        z-index: 3;
+                        background: var(--card-bg);
+                        box-shadow: 0 10px 20px rgba(15, 23, 42, 0.08);
+                    }
+
+                    .metrics-table thead th:first-child {
+                        left: 0;
+                        z-index: 4;
+                        box-shadow: 16px 0 24px rgba(15, 23, 42, 0.08);
+                    }
+
+                    .metrics-table th:first-child,
+                    .metrics-table td:first-child {
+                        width: 180px;
+                        min-width: 180px;
+                    }
+
+                    .metrics-table tbody td:first-child {
+                        position: sticky;
+                        left: 0;
+                        background: var(--card-bg);
+                        font-weight: 600;
+                        box-shadow: 16px 0 24px rgba(15, 23, 42, 0.04);
+                        z-index: 2;
+                        text-align: left;
+                    }
+
+                    .metrics-table tbody td:not(:first-child) {
+                        text-align: right;
+                    }
+
+                    .metrics-table tr.other-assets-row td {
+                        background: #fff7e0;
+                    }
+
+                    .metrics-table tr.other-assets-row td:first-child {
+                        background: #fff7e0;
+                    }
+
+                    .metrics-table tbody tr:hover td {
+                        background: #f4efff;
+                    }
+
+                    .section-row td {
+                        background: #eef1f6;
+                        font-weight: 600;
+                        text-align: left;
+                        border-bottom: 1px solid var(--border);
+                    }
+
+                    .metrics-table .section-row td:first-child {
+                        position: sticky;
+                        left: 0;
+                        z-index: 2;
+                        box-shadow: 16px 0 24px rgba(15, 23, 42, 0.08);
+                        background: #eef1f6 !important;
+                    }
+
+                    .metrics-table .section-label {
+                        color: var(--text-primary);
+                        background: #eef1f6 !important;
+                    }
+
+                    .section-spacer {
+                        background: #eef1f6;
+                    }
+
+                    .metric-name {
+                        color: var(--text-secondary);
+                    }
+
+                    .table-container {
+                        overflow-x: auto;
+                        border: 1px solid var(--border);
+                        border-radius: 16px;
+                        margin-bottom: 24px;
+                    }
+
+                    .table-container table {
+                        margin-bottom: 0;
+                        min-width: 960px;
+                    }
+
+                    .table-gap {
+                        height: 24px;
+                    }
+
+                    .no-data {
+                        margin-top: 24px;
+                        padding: 32px;
+                        text-align: center;
+                        border: 1px dashed var(--border);
+                        border-radius: 16px;
+                        color: var(--text-secondary);
+                        font-size: 0.95rem;
+                    }
+
+                    .bg-green { background-color: #e6f7eb !important; }
+                    .bg-red { background-color: #ffeef0 !important; }
+                    .font-red { color: #d32f2f !important; }
+                    .font-green { color: #1b873f !important; }
+                    .font-blue { color: #2563eb !important; }
+                    .italic { font-style: italic !important; }
+
+                    @media (max-width: 768px) {
+                        body { padding: 16px; }
+                        .report-container { padding: 24px; }
+                        table { font-size: 0.85rem; }
+                        th,
+                        td { padding: 10px 12px; }
+                    }
                 </style>
             </head>
             <body>
-                {html_content}
+                <div class="report-container">
+                    {html_content}
+                </div>
+                <script>
+                document.addEventListener('DOMContentLoaded', function() {
+                    const scrollableTables = document.querySelectorAll('table[data-scrollable="true"]');
+                    scrollableTables.forEach(table => {
+                        const container = document.createElement('div');
+                        container.className = 'table-container';
+                        table.parentNode.insertBefore(container, table);
+                        container.appendChild(table);
+                    });
+
+                    const parseValue = (text) => {
+                        if (!text || text.trim() === '-') return null;
+                        return parseFloat(text.replace(/%|,/g, ''));
+                    };
+
+                    const highlightIfOverThirtyPercent = (cell) => {
+                        const value = parseValue(cell.textContent);
+                        if (value !== null && value > 30) {
+                            cell.classList.add('bg-red', 'font-red');
+                        }
+                    };
+
+                    const styleRules = {
+                        'ROE': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 15) cell.classList.add('bg-green');
+                        },
+                        'ROA': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 10) cell.classList.add('bg-green');
+                        },
+                        '毛利率': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 50) cell.classList.add('bg-green');
+                        },
+                        '净利润率': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 20) {
+                                    cell.classList.add('bg-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                }
+                            }
+                        },
+                        '收入增速': (cell) => {
+                            cell.classList.add('italic');
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 15) {
+                                    cell.classList.add('bg-green', 'font-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                } else {
+                                    cell.classList.add('font-blue');
+                                }
+                            }
+                        },
+                        '净利润增速': (cell) => {
+                            cell.classList.add('italic');
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 15) {
+                                    cell.classList.add('bg-green', 'font-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                } else {
+                                    cell.classList.add('font-blue');
+                                }
+                            }
+                        },
+                        '经营净现金流(亿)': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value < 0) cell.classList.add('bg-red', 'font-red');
+                        },
+                        '应收款周转天数': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 90) {
+                                cell.classList.add('bg-red', 'font-red');
+                            }
+                        },
+                        '现金占比': highlightIfOverThirtyPercent,
+                        '库存占比': highlightIfOverThirtyPercent,
+                        '应收款占比': highlightIfOverThirtyPercent,
+                        '预付款占比': highlightIfOverThirtyPercent,
+                        '固定资产占比': highlightIfOverThirtyPercent,
+                        '长期投资占比': highlightIfOverThirtyPercent,
+                        '商誉占比': highlightIfOverThirtyPercent,
+                        '其他资产占比': highlightIfOverThirtyPercent
+                    };
+
+                    const metricsTables = document.querySelectorAll('table[data-table="metrics"]');
+                    metricsTables.forEach(table => {
+                        let netProfitValues = [];
+                        let fcfRow = null;
+                        const rows = table.querySelectorAll('tbody tr');
+                        rows.forEach(row => {
+                            if (row.classList.contains('section-row')) return;
+                            const metricCell = row.querySelector('td:first-child');
+                            if (!metricCell) return;
+                            const metricName = metricCell.textContent.trim();
+                            if (metricName === '净利润(亿)') {
+                                row.querySelectorAll('td:not(:first-child)').forEach(cell => {
+                                    netProfitValues.push(parseValue(cell.textContent));
+                                });
+                            } else if (metricName === '自由现金流(亿)') {
+                                fcfRow = row;
+                            }
+                        });
+
+                        rows.forEach(row => {
+                            if (row.classList.contains('section-row')) return;
+                            const metricCell = row.querySelector('td:first-child');
+                            if (!metricCell) return;
+                            const metricName = metricCell.textContent.trim();
+                            const cells = row.querySelectorAll('td:not(:first-child)');
+                            if (styleRules[metricName]) {
+                                cells.forEach(cell => {
+                                    styleRules[metricName](cell);
+                                });
+                            }
+                            if (row === fcfRow && netProfitValues.length > 0) {
+                                cells.forEach((cell, index) => {
+                                    const fcfValue = parseValue(cell.textContent);
+                                    const netProfitValue = netProfitValues[index];
+                                    if (fcfValue !== null) {
+                                        if (fcfValue < 0) {
+                                            cell.classList.add('bg-red', 'font-red');
+                                        } else if (netProfitValue !== null && fcfValue > netProfitValue) {
+                                            cell.classList.add('bg-green', 'font-green');
+                                        }
+                                    }
+                                });
+                            }
+                        });
+                    });
+                });
+                </script>
             </body>
         </html>
-        """
-        html_path = os.path.join(output_dir, "report.html")
-        with open(html_path, "w", encoding='utf-8') as f:
-            f.write(styled_html)
-        print(f"HTML report saved to {html_path}")
+        '''
+        final_html = styled_html.replace('{symbol}', symbol).replace('{html_content}', html_content)
+        return final_html
+

src/reporting/hk_report_generator.py

@@ -0,0 +1,562 @@
+from .base_generator import BaseReporter
+import pandas as pd
+import datetime
+import os
+import markdown
+
+class HK_ReportGenerator(BaseReporter):
+    def __init__(self):
+        super().__init__()
+        self.indicators = {
+            "主要指标": [
+                ('ROE', 'ROE', 'percent'),
+                ('ROA', 'ROA', 'percent'),
+                ('ROIC', 'ROCE/ROIC', 'percent'),
+                ('GrossMargin', '毛利率', 'percent'),
+                ('NetMargin', '净利润率', 'percent'),
+                ('revenue', '收入(亿)', 'currency_yi'),
+                ('RevenueGrowth', '收入增速', 'percent_color'),
+                ('net_income', '净利润(亿)', 'currency_yi'),
+                ('NetIncomeGrowth', '净利润增速', 'percent_color'),
+                ('ocf', '经营净现金流(亿)', 'currency_yi_color'),
+                ('Capex', '资本开支(亿)', 'currency_yi'),
+                ('FCF', '自由现金流(亿)', 'currency_yi_compare'),
+                ('dividends', '分红(亿)', 'currency_yi'),
+                ('total_assets', '总资产(亿)', 'currency_yi'),
+                ('total_equity', '净资产(亿)', 'currency_yi'),
+                ('goodwill', '商誉(亿)', 'currency_yi')
+            ],
+            "费用指标": [
+                ('SellingRatio', '销售费用率', 'percent'),
+                ('AdminRatio', '管理费用率', 'percent'),
+                ('SgaRatio', 'SG&A比例', 'percent'),
+                ('RDRatio', '研发费用率', 'percent'),
+                ('OtherExpenseRatio', '其他费用率', 'percent'),
+                ('DepreciationRatio', '折旧费用占比', 'percent'),
+                ('TaxRate', '所得税率', 'percent'),
+            ],
+            "资产占比": [
+                ('CashRatio', '现金占比', 'percent_alert_30'),
+                ('InventoryRatio', '库存占比', 'percent'),
+                ('ReceivablesRatio', '应收款占比', 'percent'),
+                ('PrepaymentRatio', '预付款占比', 'percent'),
+                ('FixedAssetsRatio', '固定资产占比', 'percent'),
+                ('LongTermInvestmentRatio', '长期投资占比', 'percent'),
+                ('GoodwillRatio', '商誉占比', 'percent'),
+                ('OtherAssetsRatio', '其他资产占比', 'percent'),
+                ('PayablesRatio', '应付款占比', 'percent'),
+                ('AdvanceReceiptsRatio', '预收款占比', 'percent'),
+                ('ShortTermDebtRatio', '短期借款占比', 'percent'),
+                ('LongTermDebtRatio', '长期借款占比', 'percent'),
+                ('OperatingAssetsRatio', '运营资产占比', 'percent'),
+                ('InterestBearingDebtRatio', '有息负债率', 'percent'),
+            ],
+            "周转能力": [
+                ('InventoryDays', '存货周转天数', 'int'),
+                ('ReceivablesDays', '应收款周转天数', 'int_alert_90'),
+                ('PayablesDays', '应付款周转天数', 'int'),
+                ('FixedAssetsTurnover', '固定资产周转率', 'float'),
+                ('TotalAssetTurnover', '总资产周转率', 'float'),
+            ],
+            "人均效率": [
+                ('Employees', '员工人数', 'int'),
+                ('RevenuePerEmp', '人均创收(万)', 'currency_wan'),
+                ('ProfitPerEmp', '人均创利(万)', 'currency_wan'),
+                ('AvgWage', '人均薪酬(万)', 'currency_wan'),
+            ],
+            "市场表现": [
+                ('Price', '股价', 'float'),
+                ('MarketCap', '市值(亿)', 'currency_yi_market'),
+                ('PE', 'PE', 'float'),
+                ('PB', 'PB', 'float'),
+                ('Shareholders', '股东户数', 'int'),
+            ]
+        }
+
+    def _preprocess_data(self, df, market):
+        df = super()._preprocess_data(df, market)
+        if not df.empty:
+            dates = pd.to_datetime(df['date_str'], format='%Y%m%d')
+            latest_year = dates.dt.year.max()
+            is_annual = dates.dt.month == 12
+            is_latest_year = dates.dt.year == latest_year
+            df = df[is_annual | is_latest_year]
+        return df
+
+    def _generate_md_company_info(self, symbol, metrics, market):
+        today_str = datetime.date.today().strftime("%Y-%m-%d")
+        name = metrics.get('name', '')
+        raw_list_date = metrics.get('list_date', '')
+        if isinstance(raw_list_date, str) and len(raw_list_date) == 8:
+            list_date = f"{raw_list_date[:4]}-{raw_list_date[4:6]}-{raw_list_date[6:]}"
+        else:
+            list_date = raw_list_date
+        pe = metrics.get('pe', 0)
+        pb = metrics.get('pb', 0)
+        div = metrics.get('dividend_yield', 0)
+        
+        md = []
+        md.append(f"# {name} ({symbol}) - Financial Report")
+        md.append(f"*Report generated on: {today_str}*\n")
+        md.append("| 代码 | 简称 | 上市日期 | PE | PB | 股息率(%) |")
+        md.append("|:---|:---|:---|:---|:---|:---|")
+        md.append(f"| {symbol} | {name} | {list_date} | {pe:.2f} | {pb:.2f} | {div:.2f}% |")
+        return "\n".join(md)
+
+    def generate_report(self, df_analysis, symbol, market, metrics, output_dir):
+        md_content = self._generate_markdown_content(df_analysis, market, symbol, metrics)
+
+        md_path = os.path.join(output_dir, "report.md")
+        with open(md_path, "w", encoding='utf-8') as f:
+            f.write(md_content)
+        print(f"Markdown report saved to {md_path}")
+
+        df_for_html = df_analysis.copy() if isinstance(df_analysis, pd.DataFrame) else pd.DataFrame()
+        if not df_for_html.empty:
+            df_for_html = self._preprocess_data(df_for_html, market)
+            headers = self._get_headers(df_for_html)
+        else:
+            headers = []
+        html_content = self._build_html_content(symbol, metrics, headers, df_for_html)
+        final_html = self.to_html(symbol, html_content)
+
+        html_path = os.path.join(output_dir, "report.html")
+        with open(html_path, "w", encoding='utf-8') as f:
+            f.write(final_html)
+        print(f"HTML report saved to {html_path}")
+
+    def _build_html_content(self, symbol, metrics, headers, df):
+        today_str = datetime.date.today().strftime("%Y-%m-%d")
+        name = metrics.get('name') or symbol
+        raw_list_date = metrics.get('list_date', '')
+        if isinstance(raw_list_date, str) and len(raw_list_date) == 8:
+            list_date = f"{raw_list_date[:4]}-{raw_list_date[4:6]}-{raw_list_date[6:]}"
+        else:
+            list_date = raw_list_date or "-"
+        pe = metrics.get('pe', 0) or 0
+        pb = metrics.get('pb', 0) or 0
+        div = metrics.get('dividend_yield', 0) or 0
+
+        company_table = f"""
+        <table class="company-table">
+            <thead>
+                <tr>
+                    <th>代码</th>
+                    <th>简称</th>
+                    <th>上市日期</th>
+                    <th>PE</th>
+                    <th>PB</th>
+                    <th>股息率(%)</th>
+                </tr>
+            </thead>
+            <tbody>
+                <tr>
+                    <td>{symbol}</td>
+                    <td>{name}</td>
+                    <td>{list_date}</td>
+                    <td>{pe:.2f}</td>
+                    <td>{pb:.2f}</td>
+                    <td>{div:.2f}%</td>
+                </tr>
+            </tbody>
+        </table>
+        """
+
+        if df is None or df.empty or not headers:
+            metrics_table = "<p class=\"no-data\">暂无可用财务指标</p>"
+        else:
+            header_cells = "".join([f"<th>{header}</th>" for header in headers])
+            data_column_count = max(len(headers), 1)
+            rows_html = []
+            for group_name, items in self.indicators.items():
+                rows_html.append(
+                    f"<tr class=\"section-row\">"
+                    f"<td class=\"section-label\">{group_name}</td>"
+                    f"<td class=\"section-spacer\" colspan=\"{data_column_count}\"></td>"
+                    "</tr>"
+                )
+                for key, label, fmt_type in items:
+                    value_cells = [f"<td class=\"metric-name\">{label}</td>"]
+                    for _, row_series in df.iterrows():
+                        value_cells.append(f"<td>{self._format_value(row_series.get(key), fmt_type)}</td>")
+                    row_class = "other-assets-row" if key == 'OtherAssetsRatio' else ""
+                    if row_class:
+                        rows_html.append(f"<tr class=\"{row_class}\">{''.join(value_cells)}</tr>")
+                    else:
+                        rows_html.append(f"<tr>{''.join(value_cells)}</tr>")
+            rows_markup = "\n".join(rows_html)
+            metrics_table = f"""
+            <table class="metrics-table" data-table="metrics" data-scrollable="true">
+                <thead>
+                    <tr>
+                        <th>指标</th>
+                        {header_cells}
+                    </tr>
+                </thead>
+                <tbody>
+                    {rows_markup}
+                </tbody>
+            </table>
+            """
+
+        html_sections = [
+            f"<h1>{name} ({symbol}) - Financial Report</h1>",
+            f"<p><em>Report generated on: {today_str}</em></p>",
+            company_table,
+            '<div class="table-gap"></div>',
+            metrics_table
+        ]
+        return "\n".join(html_sections)
+
+    def to_html(self, symbol, html_content):
+        styled_html = '''
+        <html>
+            <head>
+                <meta charset="utf-8" />
+                <meta name="viewport" content="width=device-width, initial-scale=1" />
+                <title>{symbol} Financial Report</title>
+                <style>
+                    :root {
+                        --bg: #f5f6fa;
+                        --card-bg: #ffffff;
+                        --header-bg: #f7f8fb;
+                        --section-bg: #f0f2f5;
+                        --border: #e5e7eb;
+                        --text-primary: #111827;
+                        --text-secondary: #6b7280;
+                    }
+
+                    * {
+                        box-sizing: border-box;
+                    }
+
+                    body {
+                        margin: 0;
+                        padding: 32px;
+                        background: var(--bg);
+                        font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
+                        color: var(--text-primary);
+                        line-height: 1.6;
+                    }
+
+                    .report-container {
+                        max-width: 1280px;
+                        margin: 0 auto;
+                        background: var(--card-bg);
+                        border-radius: 24px;
+                        padding: 32px 40px;
+                        box-shadow: 0 24px 60px rgba(15, 23, 42, 0.08);
+                    }
+
+                    h1 {
+                        margin: 0 0 8px;
+                        font-size: 28px;
+                        font-weight: 600;
+                        color: var(--text-primary);
+                    }
+
+                    p {
+                        margin: 0 0 24px;
+                        color: var(--text-secondary);
+                        font-size: 0.95rem;
+                    }
+
+                    table {
+                        width: 100%;
+                        border-collapse: collapse;
+                        background: var(--card-bg);
+                    }
+
+                    th,
+                    td {
+                        font-size: 0.95rem;
+                        padding: 12px 16px;
+                        border-bottom: 1px solid var(--border);
+                    }
+
+                    th {
+                        font-weight: 600;
+                        color: var(--text-secondary);
+                        text-align: right;
+                        background: var(--header-bg);
+                    }
+
+                    th:first-child,
+                    td:first-child {
+                        text-align: left;
+                    }
+
+                    .company-table th,
+                    .company-table td {
+                        text-align: left;
+                    }
+
+                    .metrics-table thead {
+                        position: sticky;
+                        top: 0;
+                        z-index: 3;
+                    }
+
+                    .metrics-table thead th {
+                        position: sticky;
+                        top: 0;
+                        z-index: 3;
+                        background: var(--card-bg);
+                        box-shadow: 0 10px 20px rgba(15, 23, 42, 0.08);
+                    }
+
+                    .metrics-table thead th:first-child {
+                        left: 0;
+                        z-index: 4;
+                        box-shadow: 16px 0 24px rgba(15, 23, 42, 0.08);
+                    }
+
+                    .metrics-table th:first-child,
+                    .metrics-table td:first-child {
+                        width: 180px;
+                        min-width: 180px;
+                    }
+
+                    .metrics-table tbody td:first-child {
+                        position: sticky;
+                        left: 0;
+                        background: var(--card-bg);
+                        font-weight: 600;
+                        box-shadow: 16px 0 24px rgba(15, 23, 42, 0.04);
+                        z-index: 2;
+                        text-align: left;
+                    }
+
+                    .metrics-table tbody td:not(:first-child) {
+                        text-align: right;
+                    }
+
+                    .metrics-table tr.other-assets-row td {
+                        background: #fff7e0;
+                    }
+
+                    .metrics-table tr.other-assets-row td:first-child {
+                        background: #fff7e0;
+                    }
+
+                    .metrics-table tbody tr:hover td {
+                        background: #f4efff;
+                    }
+
+                    .section-row td {
+                        background: #eef1f6;
+                        font-weight: 600;
+                        text-align: left;
+                        border-bottom: 1px solid var(--border);
+                    }
+
+                    .metrics-table .section-row td:first-child {
+                        position: sticky;
+                        left: 0;
+                        z-index: 2;
+                        box-shadow: 16px 0 24px rgba(15, 23, 42, 0.08);
+                        background: #eef1f6 !important;
+                    }
+
+                    .metrics-table .section-label {
+                        color: var(--text-primary);
+                        background: #eef1f6 !important;
+                    }
+
+                    .section-spacer {
+                        background: #eef1f6;
+                    }
+
+                    .metric-name {
+                        color: var(--text-secondary);
+                    }
+
+                    .table-container {
+                        overflow-x: auto;
+                        border: 1px solid var(--border);
+                        border-radius: 16px;
+                        margin-bottom: 24px;
+                    }
+
+                    .table-container table {
+                        margin-bottom: 0;
+                        min-width: 960px;
+                    }
+
+                    .table-gap {
+                        height: 24px;
+                    }
+
+                    .no-data {
+                        margin-top: 24px;
+                        padding: 32px;
+                        text-align: center;
+                        border: 1px dashed var(--border);
+                        border-radius: 16px;
+                        color: var(--text-secondary);
+                        font-size: 0.95rem;
+                    }
+
+                    .bg-green { background-color: #e6f7eb !important; }
+                    .bg-red { background-color: #ffeef0 !important; }
+                    .font-red { color: #d32f2f !important; }
+                    .font-green { color: #1b873f !important; }
+                    .font-blue { color: #2563eb !important; }
+                    .italic { font-style: italic !important; }
+
+                    @media (max-width: 768px) {
+                        body { padding: 16px; }
+                        .report-container { padding: 24px; }
+                        table { font-size: 0.85rem; }
+                        th,
+                        td { padding: 10px 12px; }
+                    }
+                </style>
+            </head>
+            <body>
+                <div class="report-container">
+                    {html_content}
+                </div>
+                <script>
+                document.addEventListener('DOMContentLoaded', function() {
+                    const scrollableTables = document.querySelectorAll('table[data-scrollable="true"]');
+                    scrollableTables.forEach(table => {
+                        const container = document.createElement('div');
+                        container.className = 'table-container';
+                        table.parentNode.insertBefore(container, table);
+                        container.appendChild(table);
+                    });
+
+                    const parseValue = (text) => {
+                        if (!text || text.trim() === '-') return null;
+                        return parseFloat(text.replace(/%|,/g, ''));
+                    };
+
+                    const highlightIfOverThirtyPercent = (cell) => {
+                        const value = parseValue(cell.textContent);
+                        if (value !== null && value > 30) {
+                            cell.classList.add('bg-red', 'font-red');
+                        }
+                    };
+
+                    const styleRules = {
+                        'ROE': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 15) cell.classList.add('bg-green');
+                        },
+                        'ROA': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 10) cell.classList.add('bg-green');
+                        },
+                        '毛利率': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 50) cell.classList.add('bg-green');
+                        },
+                        '净利润率': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 20) {
+                                    cell.classList.add('bg-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                }
+                            }
+                        },
+                        '收入增速': (cell) => {
+                            cell.classList.add('italic');
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 15) {
+                                    cell.classList.add('bg-green', 'font-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                } else {
+                                    cell.classList.add('font-blue');
+                                }
+                            }
+                        },
+                        '净利润增速': (cell) => {
+                            cell.classList.add('italic');
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 15) {
+                                    cell.classList.add('bg-green', 'font-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                } else {
+                                    cell.classList.add('font-blue');
+                                }
+                            }
+                        },
+                        '经营净现金流(亿)': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value < 0) cell.classList.add('bg-red', 'font-red');
+                        },
+                        '应收款周转天数': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 90) {
+                                cell.classList.add('bg-red', 'font-red');
+                            }
+                        },
+                        '现金占比': highlightIfOverThirtyPercent,
+                        '库存占比': highlightIfOverThirtyPercent,
+                        '应收款占比': highlightIfOverThirtyPercent,
+                        '预付款占比': highlightIfOverThirtyPercent,
+                        '固定资产占比': highlightIfOverThirtyPercent,
+                        '长期投资占比': highlightIfOverThirtyPercent,
+                        '商誉占比': highlightIfOverThirtyPercent,
+                        '其他资产占比': highlightIfOverThirtyPercent
+                    };
+
+                    const metricsTables = document.querySelectorAll('table[data-table="metrics"]');
+                    metricsTables.forEach(table => {
+                        let netProfitValues = [];
+                        let fcfRow = null;
+                        const rows = table.querySelectorAll('tbody tr');
+                        rows.forEach(row => {
+                            if (row.classList.contains('section-row')) return;
+                            const metricCell = row.querySelector('td:first-child');
+                            if (!metricCell) return;
+                            const metricName = metricCell.textContent.trim();
+                            if (metricName === '净利润(亿)') {
+                                row.querySelectorAll('td:not(:first-child)').forEach(cell => {
+                                    netProfitValues.push(parseValue(cell.textContent));
+                                });
+                            } else if (metricName === '自由现金流(亿)') {
+                                fcfRow = row;
+                            }
+                        });
+
+                        rows.forEach(row => {
+                            if (row.classList.contains('section-row')) return;
+                            const metricCell = row.querySelector('td:first-child');
+                            if (!metricCell) return;
+                            const metricName = metricCell.textContent.trim();
+                            const cells = row.querySelectorAll('td:not(:first-child)');
+                            if (styleRules[metricName]) {
+                                cells.forEach(cell => {
+                                    styleRules[metricName](cell);
+                                });
+                            }
+                            if (row === fcfRow && netProfitValues.length > 0) {
+                                cells.forEach((cell, index) => {
+                                    const fcfValue = parseValue(cell.textContent);
+                                    const netProfitValue = netProfitValues[index];
+                                    if (fcfValue !== null) {
+                                        if (fcfValue < 0) {
+                                            cell.classList.add('bg-red', 'font-red');
+                                        } else if (netProfitValue !== null && fcfValue > netProfitValue) {
+                                            cell.classList.add('bg-green', 'font-green');
+                                        }
+                                    }
+                                });
+                            }
+                        });
+                    });
+                });
+                </script>
+            </body>
+        </html>
+        '''
+        final_html = styled_html.replace('{symbol}', symbol).replace('{html_content}', html_content)
+        return final_html

src/reporting/us_report_generator.py

@@ -1,4 +1,5 @@
 from .base_generator import BaseReporter
+import pandas as pd
 import datetime
 import os
 import markdown
@@ -74,36 +75,455 @@ class US_ReportGenerator(BaseReporter):
         return "\n".join(md)
 
     def generate_report(self, df_analysis, symbol, market, metrics, output_dir):
-        # 1. Generate Markdown content
         md_content = self._generate_markdown_content(df_analysis, market, symbol, metrics)
-        
-        # 2. Save Markdown file
+
         md_path = os.path.join(output_dir, "report.md")
         with open(md_path, "w", encoding='utf-8') as f:
             f.write(md_content)
         print(f"Markdown report saved to {md_path}")
 
-        # 3. Convert to HTML and save
-        html_content = markdown.markdown(md_content, extensions=['tables'])
-        styled_html = f"""
+        df_for_html = df_analysis.copy() if isinstance(df_analysis, pd.DataFrame) else pd.DataFrame()
+        if not df_for_html.empty:
+            df_for_html = self._preprocess_data(df_for_html, market)
+            headers = self._get_headers(df_for_html)
+        else:
+            headers = []
+        html_content = self._build_html_content(symbol, metrics, headers, df_for_html)
+        final_html = self.to_html(symbol, html_content)
+
+        html_path = os.path.join(output_dir, "report.html")
+        with open(html_path, "w", encoding='utf-8') as f:
+            f.write(final_html)
+        print(f"HTML report saved to {html_path}")
+
+    def _build_html_content(self, symbol, metrics, headers, df):
+        today_str = datetime.date.today().strftime("%Y-%m-%d")
+        name = metrics.get('name') or symbol
+        fiscal_year_end = metrics.get('fiscal_year_end') or "-"
+        pe = metrics.get('pe', 0) or 0
+        pb = metrics.get('pb', 0) or 0
+        div_yield = (metrics.get('dividend_yield', 0) or 0) * 100
+
+        company_table = f"""
+        <table class="company-table">
+            <thead>
+                <tr>
+                    <th>代码</th>
+                    <th>简称</th>
+                    <th>财报日期</th>
+                    <th>PE</th>
+                    <th>PB</th>
+                    <th>股息率(%)</th>
+                </tr>
+            </thead>
+            <tbody>
+                <tr>
+                    <td>{symbol}</td>
+                    <td>{name}</td>
+                    <td>{fiscal_year_end}</td>
+                    <td>{pe:.2f}</td>
+                    <td>{pb:.2f}</td>
+                    <td>{div_yield:.2f}%</td>
+                </tr>
+            </tbody>
+        </table>
+        """
+
+        if df is None or df.empty or not headers:
+            metrics_table = "<p class=\"no-data\">暂无可用财务指标</p>"
+        else:
+            header_cells = "".join([f"<th>{header}</th>" for header in headers])
+            data_column_count = max(len(headers), 1)
+            rows_html = []
+            for group_name, items in self.indicators.items():
+                rows_html.append(
+                    f"<tr class=\"section-row\">"
+                    f"<td class=\"section-label\">{group_name}</td>"
+                    f"<td class=\"section-spacer\" colspan=\"{data_column_count}\"></td>"
+                    "</tr>"
+                )
+                for key, label, fmt_type in items:
+                    value_cells = [f"<td class=\"metric-name\">{label}</td>"]
+                    for _, row_series in df.iterrows():
+                        value_cells.append(f"<td>{self._format_value(row_series.get(key), fmt_type)}</td>")
+                    row_class = "other-assets-row" if key == 'OtherAssetsRatio' else ""
+                    if row_class:
+                        rows_html.append(f"<tr class=\"{row_class}\">{''.join(value_cells)}</tr>")
+                    else:
+                        rows_html.append(f"<tr>{''.join(value_cells)}</tr>")
+            rows_markup = "\n".join(rows_html)
+            metrics_table = f"""
+            <table class="metrics-table" data-table="metrics" data-scrollable="true">
+                <thead>
+                    <tr>
+                        <th>指标</th>
+                        {header_cells}
+                    </tr>
+                </thead>
+                <tbody>
+                    {rows_markup}
+                </tbody>
+            </table>
+            """
+
+        html_sections = [
+            f"<h1>{name} ({symbol}) - Financial Report</h1>",
+            f"<p><em>Report generated on: {today_str}</em></p>",
+            company_table,
+            '<div class="table-gap"></div>',
+            metrics_table
+        ]
+        return "\n".join(html_sections)
+
+    def to_html(self, symbol, html_content):
+        styled_html = '''
         <html>
             <head>
+                <meta charset="utf-8" />
+                <meta name="viewport" content="width=device-width, initial-scale=1" />
                 <title>{symbol} Financial Report</title>
                 <style>
-                    body {{ font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif; line-height: 1.6; }}
-                    table {{ border-collapse: collapse; width: 100%; margin-bottom: 1rem; }}
-                    th, td {{ border: 1px solid #dee2e6; padding: 0.75rem; vertical-align: top; }}
-                    thead th {{ vertical-align: bottom; border-bottom: 2px solid #dee2e6; }}
-                    tbody tr:nth-child(even) {{ background-color: #f8f9fa; }}
-                    h1, h2 {{ border-bottom: 1px solid #dee2e6; padding-bottom: 0.5rem; }}
+                    :root {
+                        --bg: #f5f6fa;
+                        --card-bg: #ffffff;
+                        --header-bg: #f7f8fb;
+                        --section-bg: #f0f2f5;
+                        --border: #e5e7eb;
+                        --text-primary: #111827;
+                        --text-secondary: #6b7280;
+                    }
+
+                    * {
+                        box-sizing: border-box;
+                    }
+
+                    body {
+                        margin: 0;
+                        padding: 32px;
+                        background: var(--bg);
+                        font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, sans-serif;
+                        color: var(--text-primary);
+                        line-height: 1.6;
+                    }
+
+                    .report-container {
+                        max-width: 1280px;
+                        margin: 0 auto;
+                        background: var(--card-bg);
+                        border-radius: 24px;
+                        padding: 32px 40px;
+                        box-shadow: 0 24px 60px rgba(15, 23, 42, 0.08);
+                    }
+
+                    h1 {
+                        margin: 0 0 8px;
+                        font-size: 28px;
+                        font-weight: 600;
+                        color: var(--text-primary);
+                    }
+
+                    p {
+                        margin: 0 0 24px;
+                        color: var(--text-secondary);
+                        font-size: 0.95rem;
+                    }
+
+                    table {
+                        width: 100%;
+                        border-collapse: collapse;
+                        background: var(--card-bg);
+                    }
+
+                    th,
+                    td {
+                        font-size: 0.95rem;
+                        padding: 12px 16px;
+                        border-bottom: 1px solid var(--border);
+                    }
+
+                    th {
+                        font-weight: 600;
+                        color: var(--text-secondary);
+                        text-align: right;
+                        background: var(--header-bg);
+                    }
+
+                    th:first-child,
+                    td:first-child {
+                        text-align: left;
+                    }
+
+                    .company-table th,
+                    .company-table td {
+                        text-align: left;
+                    }
+
+                    .metrics-table thead {
+                        position: sticky;
+                        top: 0;
+                        z-index: 3;
+                    }
+
+                    .metrics-table thead th {
+                        position: sticky;
+                        top: 0;
+                        z-index: 3;
+                        background: var(--card-bg);
+                        box-shadow: 0 10px 20px rgba(15, 23, 42, 0.08);
+                    }
+
+                    .metrics-table thead th:first-child {
+                        left: 0;
+                        z-index: 4;
+                        box-shadow: 16px 0 24px rgba(15, 23, 42, 0.08);
+                    }
+
+                    .metrics-table th:first-child,
+                    .metrics-table td:first-child {
+                        width: 180px;
+                        min-width: 180px;
+                    }
+
+                    .metrics-table tbody td:first-child {
+                        position: sticky;
+                        left: 0;
+                        background: var(--card-bg);
+                        font-weight: 600;
+                        box-shadow: 16px 0 24px rgba(15, 23, 42, 0.04);
+                        z-index: 2;
+                        text-align: left;
+                    }
+
+                    .metrics-table tbody td:not(:first-child) {
+                        text-align: right;
+                    }
+
+                    .metrics-table tr.other-assets-row td {
+                        background: #fff7e0;
+                    }
+
+                    .metrics-table tr.other-assets-row td:first-child {
+                        background: #fff7e0;
+                    }
+
+                    .metrics-table tbody tr:hover td {
+                        background: #f4efff;
+                    }
+
+                    .section-row td {
+                        background: #eef1f6;
+                        font-weight: 600;
+                        text-align: left;
+                        border-bottom: 1px solid var(--border);
+                    }
+
+                    .metrics-table .section-row td:first-child {
+                        position: sticky;
+                        left: 0;
+                        z-index: 2;
+                        box-shadow: 16px 0 24px rgba(15, 23, 42, 0.08);
+                        background: #eef1f6 !important;
+                    }
+
+                    .metrics-table .section-label {
+                        color: var(--text-primary);
+                        background: #eef1f6 !important;
+                    }
+
+                    .section-spacer {
+                        background: #eef1f6;
+                    }
+
+                    .metric-name {
+                        color: var(--text-secondary);
+                    }
+
+                    .table-container {
+                        overflow-x: auto;
+                        border: 1px solid var(--border);
+                        border-radius: 16px;
+                        margin-bottom: 24px;
+                    }
+
+                    .table-container table {
+                        margin-bottom: 0;
+                        min-width: 960px;
+                    }
+
+                    .table-gap {
+                        height: 24px;
+                    }
+
+                    .no-data {
+                        margin-top: 24px;
+                        padding: 32px;
+                        text-align: center;
+                        border: 1px dashed var(--border);
+                        border-radius: 16px;
+                        color: var(--text-secondary);
+                        font-size: 0.95rem;
+                    }
+
+                    .bg-green { background-color: #e6f7eb !important; }
+                    .bg-red { background-color: #ffeef0 !important; }
+                    .font-red { color: #d32f2f !important; }
+                    .font-green { color: #1b873f !important; }
+                    .font-blue { color: #2563eb !important; }
+                    .italic { font-style: italic !important; }
+
+                    @media (max-width: 768px) {
+                        body { padding: 16px; }
+                        .report-container { padding: 24px; }
+                        table { font-size: 0.85rem; }
+                        th,
+                        td { padding: 10px 12px; }
+                    }
                 </style>
             </head>
             <body>
-                {html_content}
+                <div class="report-container">
+                    {html_content}
+                </div>
+                <script>
+                document.addEventListener('DOMContentLoaded', function() {
+                    const scrollableTables = document.querySelectorAll('table[data-scrollable="true"]');
+                    scrollableTables.forEach(table => {
+                        const container = document.createElement('div');
+                        container.className = 'table-container';
+                        table.parentNode.insertBefore(container, table);
+                        container.appendChild(table);
+                    });
+
+                    const parseValue = (text) => {
+                        if (!text || text.trim() === '-') return null;
+                        return parseFloat(text.replace(/%|,/g, ''));
+                    };
+
+                    const highlightIfOverThirtyPercent = (cell) => {
+                        const value = parseValue(cell.textContent);
+                        if (value !== null && value > 30) {
+                            cell.classList.add('bg-red', 'font-red');
+                        }
+                    };
+
+                    const styleRules = {
+                        'ROE': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 15) cell.classList.add('bg-green');
+                        },
+                        'ROA': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 10) cell.classList.add('bg-green');
+                        },
+                        '毛利率': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 50) cell.classList.add('bg-green');
+                        },
+                        '净利润率': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 20) {
+                                    cell.classList.add('bg-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                }
+                            }
+                        },
+                        '收入增速': (cell) => {
+                            cell.classList.add('italic');
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 15) {
+                                    cell.classList.add('bg-green', 'font-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                } else {
+                                    cell.classList.add('font-blue');
+                                }
+                            }
+                        },
+                        '净利润增速': (cell) => {
+                            cell.classList.add('italic');
+                            const value = parseValue(cell.textContent);
+                            if (value !== null) {
+                                if (value > 15) {
+                                    cell.classList.add('bg-green', 'font-green');
+                                } else if (value < 0) {
+                                    cell.classList.add('bg-red', 'font-red');
+                                } else {
+                                    cell.classList.add('font-blue');
+                                }
+                            }
+                        },
+                        '经营净现金流(亿)': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value < 0) cell.classList.add('bg-red', 'font-red');
+                        },
+                        '应收款周转天数': (cell) => {
+                            const value = parseValue(cell.textContent);
+                            if (value !== null && value > 90) {
+                                cell.classList.add('bg-red', 'font-red');
+                            }
+                        },
+                        '现金占比': highlightIfOverThirtyPercent,
+                        '库存占比': highlightIfOverThirtyPercent,
+                        '应收款占比': highlightIfOverThirtyPercent,
+                        '预付款占比': highlightIfOverThirtyPercent,
+                        '固定资产占比': highlightIfOverThirtyPercent,
+                        '长期投资占比': highlightIfOverThirtyPercent,
+                        '商誉占比': highlightIfOverThirtyPercent,
+                        '其他资产占比': highlightIfOverThirtyPercent
+                    };
+
+                    const metricsTables = document.querySelectorAll('table[data-table="metrics"]');
+                    metricsTables.forEach(table => {
+                        let netProfitValues = [];
+                        let fcfRow = null;
+                        const rows = table.querySelectorAll('tbody tr');
+                        rows.forEach(row => {
+                            if (row.classList.contains('section-row')) return;
+                            const metricCell = row.querySelector('td:first-child');
+                            if (!metricCell) return;
+                            const metricName = metricCell.textContent.trim();
+                            if (metricName === '净利润(亿)') {
+                                row.querySelectorAll('td:not(:first-child)').forEach(cell => {
+                                    netProfitValues.push(parseValue(cell.textContent));
+                                });
+                            } else if (metricName === '自由现金流(亿)') {
+                                fcfRow = row;
+                            }
+                        });
+
+                        rows.forEach(row => {
+                            if (row.classList.contains('section-row')) return;
+                            const metricCell = row.querySelector('td:first-child');
+                            if (!metricCell) return;
+                            const metricName = metricCell.textContent.trim();
+                            const cells = row.querySelectorAll('td:not(:first-child)');
+                            if (styleRules[metricName]) {
+                                cells.forEach(cell => {
+                                    styleRules[metricName](cell);
+                                });
+                            }
+                            if (row === fcfRow && netProfitValues.length > 0) {
+                                cells.forEach((cell, index) => {
+                                    const fcfValue = parseValue(cell.textContent);
+                                    const netProfitValue = netProfitValues[index];
+                                    if (fcfValue !== null) {
+                                        if (fcfValue < 0) {
+                                            cell.classList.add('bg-red', 'font-red');
+                                        } else if (netProfitValue !== null && fcfValue > netProfitValue) {
+                                            cell.classList.add('bg-green', 'font-green');
+                                        }
+                                    }
+                                });
+                            }
+                        });
+                    });
+                });
+                </script>
             </body>
         </html>
-        """
-        html_path = os.path.join(output_dir, "report.html")
-        with open(html_path, "w", encoding='utf-8') as f:
-            f.write(styled_html)
-        print(f"HTML report saved to {html_path}")
+        '''
+        final_html = styled_html.replace('{symbol}', symbol).replace('{html_content}', html_content)
+        return final_html

src/strategies/cn_strategy.py

@@ -22,10 +22,15 @@ class CN_Strategy(BaseStrategy):
         self.raw_data['balance'] = self.fetcher.get_balance_sheet(self.stock_code)
         self.raw_data['cashflow'] = self.fetcher.get_cash_flow(self.stock_code)
         self.raw_data['metrics'] = self.fetcher.get_market_metrics(self.stock_code)
-        
-        self.storage.save_data(self.raw_data['income'], 'CN', self.stock_code, "income_statement")
-        self.storage.save_data(self.raw_data['balance'], 'CN', self.stock_code, "balance_sheet")
-        self.storage.save_data(self.raw_data['cashflow'], 'CN', self.stock_code, "cash_flow")
+        self.raw_data['dividends'] = self.fetcher.get_dividends(self.stock_code)
+        self.raw_data['repurchases'] = self.fetcher.get_repurchases(self.stock_code)
+
+        if not self.raw_data['income'].empty and 'date' in self.raw_data['income'].columns:
+            dates = self.raw_data['income']['date'].tolist()
+            historical_metrics = self.fetcher.get_historical_metrics(self.stock_code, dates)
+            self.raw_data['historical_metrics'] = historical_metrics
+            if historical_metrics is not None and not historical_metrics.empty:
+                self.storage.save_data(historical_metrics, 'CN', self.stock_code, "historical_metrics")
 
     def analyze_data(self):
         print(f"Analyzing data for CN market, stock: {self.stock_code}")
@@ -33,9 +38,11 @@ class CN_Strategy(BaseStrategy):
             self.raw_data['income'],
             self.raw_data['balance'],
             self.raw_data['cashflow'],
-            self.raw_data['metrics']
+            self.raw_data['metrics'],
+            self.raw_data.get('historical_metrics'),
+            self.raw_data.get('dividends'),
+            self.raw_data.get('repurchases')
         )
-
     def generate_report(self):
         print(f"Generating report for CN market, stock: {self.stock_code}")
         if self.analysis_result is not None and not self.analysis_result.empty:

src/strategies/hk_strategy.py

@@ -0,0 +1,48 @@
+from .base_strategy import BaseStrategy
+from fetchers.factory import FetcherFactory
+from analysis.hk_analyzer import HK_Analyzer
+from reporting.hk_report_generator import HK_ReportGenerator
+from storage.file_io import DataStorage
+import os
+
+class HK_Strategy(BaseStrategy):
+    def __init__(self, stock_code, tushare_token):
+        super().__init__(stock_code)
+        self.tushare_token = tushare_token
+        self.fetcher = FetcherFactory.get_fetcher('HK', self.tushare_token)
+        self.analyzer = HK_Analyzer()
+        self.reporter = HK_ReportGenerator()
+        self.storage = DataStorage()
+        self.raw_data = {}
+        self.analysis_result = None
+
+    def fetch_data(self):
+        print(f"Fetching data for HK market, stock: {self.stock_code}")
+        self.raw_data['income'] = self.fetcher.get_income_statement(self.stock_code)
+        self.raw_data['balance'] = self.fetcher.get_balance_sheet(self.stock_code)
+        self.raw_data['cashflow'] = self.fetcher.get_cash_flow(self.stock_code)
+        self.raw_data['metrics'] = self.fetcher.get_market_metrics(self.stock_code)
+
+
+    def analyze_data(self):
+        print(f"Analyzing data for HK market, stock: {self.stock_code}")
+        self.analysis_result = self.analyzer.process_data(
+            self.raw_data['income'],
+            self.raw_data['balance'],
+            self.raw_data['cashflow'],
+            self.raw_data['metrics']
+        )
+
+    def generate_report(self):
+        print(f"Generating report for HK market, stock: {self.stock_code}")
+        if self.analysis_result is not None and not self.analysis_result.empty:
+            output_dir = os.path.join("data", 'HK', self.stock_code)
+            self.reporter.generate_report(
+                df_analysis=self.analysis_result,
+                symbol=self.stock_code,
+                market='HK',
+                metrics=self.raw_data['metrics'],
+                output_dir=output_dir
+            )
+        else:
+            print("No analysis result to generate report.")

src/strategies/us_strategy.py

@@ -23,9 +23,6 @@ class US_Strategy(BaseStrategy):
         self.raw_data['cashflow'] = self.fetcher.get_cash_flow(self.stock_code)
         self.raw_data['metrics'] = self.fetcher.get_market_metrics(self.stock_code)
 
-        self.storage.save_data(self.raw_data['income'], 'US', self.stock_code, "income_statement")
-        self.storage.save_data(self.raw_data['balance'], 'US', self.stock_code, "balance_sheet")
-        self.storage.save_data(self.raw_data['cashflow'], 'US', self.stock_code, "cash_flow")
 
     def analyze_data(self):
         print(f"Analyzing data for US market, stock: {self.stock_code}")