diff --git a/.env b/.env index 19c874a..0562205 100644 --- a/.env +++ b/.env @@ -1,2 +1,2 @@ TUSHARE_TOKEN=f62b415de0a5a947fcb693b66cd299dd6242868bf04ad687800c7f3f -ALPHA_VANTAGE_KEY=QQ9R0SFHQHAXDTHD +ALPHA_VANTAGE_KEY=2ROWPV7BMW6JSG0Y diff --git a/DOC/implementation_plan.md b/DOC/implementation_plan.md index 770f66b..9b8dfd3 100644 --- a/DOC/implementation_plan.md +++ b/DOC/implementation_plan.md @@ -1,57 +1,88 @@ -# 实施计划：财务数据获取与分析系统 +# 实施计划：财务数据获取与分析系统 (V3.0) - Refactored -# 目标描述 -开发一个后端工具，用于获取中国、香港、美国及日本股市的10年财务报表，保存到本地，计算财务指标，并输出带有样式的 Markdown 报告。 +## 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。 -## 用户需确认事项 -- **API Keys**: 需要 Tushare 和 Alpha Vantage 的 API Key。 -- **日本市场数据**: Alpha Vantage 对日股财务数据的支持情况待验证。 -- **财务指标**: 需确认具体的计算指标列表。 +## 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。 -## 拟定变更 +- **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。 -### 1. 项目初始化 -- 创建项目目录结构。 -- 初始化依赖管理 `requirements.txt` (pandas, requests, tushare, alpha_vantage)。 -- 创建 `.env` 文件用于存放 API Keys。 +## 3. 核心执行流程 (通过策略) -### 2. 模块：数据获取器 (`src/fetchers`) -- 定义抽象基类 `DataFetcher`。 -- **TushareFetcher (CN & HK)**: - - 实现与 Tushare 的连接。 - - 方法：获取利润表、资产负债表、现金流量表。 - - 适配 A 股和港股代码后缀。 -- **AlphaVantageFetcher (US & JP)**: - - 实现与 Alpha Vantage 的连接。 - - 方法：同上。 - - 针对日本市场进行适配测试。 -- **工厂模式**: `get_fetcher(market, api_keys)` 根据市场返回对应的获取器实例。 +### 步骤 1: 初始化与策略选择 +- **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`。 -### 3. 模块：数据存储 (`src/storage`) -- 实现将 DataFrame 保存为 CSV 的功能。 -- 目录结构：`data/{market}/{stock_code}/{statement_type}.csv`。 +### 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： -### 4. 模块：分析器 (`src/analysis`) -- 加载本地 CSV 数据。 -- 计算指标 (初步规划): - - **盈利能力**: ROE (净资产收益率), Net Profit Margin (净利率), Gross Margin (毛利率)。 - - **偿债能力**: Debt-to-Equity (产权比率/负债权益比), Current Ratio (流动比率)。 - - **成长能力**: Revenue Growth (营收增长率), Net Income Growth (净利增长率)。 -- 返回汇总的 DataFrame。 +--- -### 5. 模块：报告生成器 (`src/reporting`) -- 类 `MarkdownReporter`. -- 方法 `generate_table(indicator_data)`. -- **样式实现**: - - 使用 HTML `` 标签嵌入 Markdown，通过 `style="background-color: ..."` 实现背景色。 +#### **场景 A: 中国市场 (market='CN')** +选择中国市场时，`CN_Strategy` 的 `execute` 方法会按顺序执行以下操作： -## 验证计划 +1. **数据获取 (`fetch_data`)**: + - **执行**: `CN_Strategy` 实例化并调用 `TushareFetcher` 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)。 + 3. **获取现金流量表**: 调用 Tushare 的 `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**: `TushareFetcher` 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。 -### 自动化测试 -- 编写单元测试，Mock API 响应，测试数据解析逻辑。 -- 测试指标计算公式的准确性。 +2. **数据分析 (`analyze_data`)**: + - **执行**: `CN_Strategy` 实例化 `CN_Analyzer`。 + - **动作**: `CN_Analyzer` 对获取的数据进行合并、列名映射 (`_map_columns`) 和A股特定的财务指标计算。 -### 人工验证 -1. **中国/香港股票**: 获取茅台 (600519.SH) 和 腾讯 (00700.HK)，检查文件是否生成，内容是否正确。 -2. **美国/日本股票**: 获取 Apple (AAPL) 和 Sony (6758.T)，检查数据获取情况。 -3. **报告检查**: 打开生成的 `report.md`，确认颜色样式能否正确渲染。 +3. **报告生成 (`generate_report`)**: + - **调用**: `CN_Strategy` 调用 `CN_ReportGenerator` 实例的 `generate_report` 方法，传递分析数据和输出路径。 + - **核心动作**: `CN_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/CN/{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/CN/{symbol}/report.html`。 + +--- + +#### **场景 B: 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`。 + - **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`。 + - **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`)**: + - **执行**: `US_Strategy` 实例化 `US_Analyzer`。 + - **动作**: `US_Analyzer` 对获取的数据进行合并、列名映射和美股特定的计算逻辑。 + +3. **报告生成 (`generate_report`)**: + - **调用**: `US_Strategy` 调用 `US_ReportGenerator` 实例的 `generate_report` 方法，传递分析数据和输出路径。 + - **核心动作**: `US_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/US/{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/US/{symbol}/report.html`。 + +## 4. 验证计划 +- **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。 diff --git a/data/CN/300750.SZ/balance_sheet.csv b/data/CN/300750.SZ/balance_sheet.csv index 7861519..7e53361 100644 --- a/data/CN/300750.SZ/balance_sheet.csv +++ b/data/CN/300750.SZ/balance_sheet.csv @@ -11,3 +11,4 @@ ts_code,ann_date,f_ann_date,date,report_type,comp_type,end_type,total_share,cap_ 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,20180522,20180522,20161231,1,1,4,613321800.0,11608553987.09,2965362316.99,299841288.9,,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,20180522,20180522,20151231,1,1,4,470590000.0,369014163.84,376303017.19,37079169.44,,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 +300750.SZ,20171110,20171110,20141231,1,1,4,200000000.0,,49744909.19,6954380.45,,59580991.01,,,371591280.04,29995923.56,15325513.65,,,312078268.93,,,,,,,,,1104090329.41,1892662306.6,5000000.0,,227224101.96,,,,,242838681.05,174061216.38,,,,,237605481.13,,,302589.41,25097812.88,,70316438.57,982446321.38,,,,,,,,,,,,,,,,,2875108627.98,,197129703.88,,,,,104420606.01,384712991.47,8715160.0,,,21201376.97,30587729.51,92346.79,,62047482.54,,,,,,,,127376000.0,,936283397.17,,1344911122.2,,43656244.08,,214850053.5,,1603417419.78,,,,,,,,,,,,,,,,,2539700816.95,,,,,78524562.99,256883248.04,335407811.03,2875108627.98,,183958.4,,,,,,,,,,,,,371591280.04,489133597.48,29995923.56,242838681.05,174061216.38,62139829.33,1344911122.2,,,0 diff --git a/data/CN/300750.SZ/cash_flow.csv b/data/CN/300750.SZ/cash_flow.csv index 33a7611..4193696 100644 --- a/data/CN/300750.SZ/cash_flow.csv +++ b/data/CN/300750.SZ/cash_flow.csv @@ -11,3 +11,4 @@ ts_code,ann_date,f_ann_date,date,comp_type,report_type,end_type,net_profit,finan 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,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 diff --git a/data/CN/300750.SZ/income_statement.csv b/data/CN/300750.SZ/income_statement.csv index d228873..eab8279 100644 --- a/data/CN/300750.SZ/income_statement.csv +++ b/data/CN/300750.SZ/income_statement.csv @@ -11,3 +11,4 @@ ts_code,ann_date,f_ann_date,date,report_type,comp_type,end_type,basic_eps,dilute 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+300750.SZ,20200203,135.36,4.3768,5.8662,2.11,88.2568,66.832,8.0914,10.0951,6.8987,0.1043,0.1043,220839.97,120258.9511,89725.1927,29892898.3392,16278251.6209 +300750.SZ,20200123,130.57,2.9924,4.0107,1.77,85.1337,64.467,7.8051,9.7379,6.6546,0.1081,0.1081,220839.97,120258.9511,89725.1927,28835074.8829,15702211.2451 +300750.SZ,20200122,133.82,2.9097,3.8999,2.07,87.2527,66.0717,7.9994,9.9803,6.8202,0.1055,0.1055,220839.97,120258.9511,89725.1927,29552804.7854,16093052.8362 +300750.SZ,20200121,121.65,1.1864,1.5901,0.78,79.3177,60.0629,7.2719,9.0726,6.2,0.116,0.116,220839.97,120258.9511,89725.1927,26865182.3505,14629501.4013 +300750.SZ,20200120,123.2,2.0699,2.7743,1.4,80.3283,60.8282,7.3645,9.1882,6.279,0.1146,0.1146,220839.97,120258.9511,89725.1927,27207484.304,14815902.7755 +300750.SZ,20200117,115.08,1.2192,1.6341,0.83,75.034,56.8191,6.8791,8.5826,5.8651,0.1226,0.1226,220839.97,120258.9511,89725.1927,25414263.7476,13839400.0926 +300750.SZ,20200116,116.4,1.0755,1.4415,0.68,75.8946,57.4708,6.9581,8.6811,5.9324,0.1213,0.1213,220839.97,120258.9511,89725.1927,25705772.508,13998141.908 +300750.SZ,20200115,115.3,1.4767,1.9792,0.91,75.1774,56.9277,6.8923,8.599,5.8764,0.1224,0.1224,220839.97,120258.9511,89725.1927,25462848.541,13865857.0618 +300750.SZ,20200114,115.7,1.8101,2.4261,1.22,75.4382,57.1252,6.9162,8.6289,5.8967,0.122,0.122,220839.97,120258.9511,89725.1927,25551184.529,13913960.6423 +300750.SZ,20200113,116.9,1.7959,2.4071,1.15,76.2206,57.7177,6.9879,8.7184,5.9579,0.1207,0.1207,220839.97,120258.9511,89725.1927,25816192.493,14058271.3836 +300750.SZ,20200110,113.31,1.1997,1.608,0.74,73.8799,55.9452,6.7733,8.4506,5.7749,0.1246,0.1246,220839.97,120258.9511,89725.1927,25023377.0007,13626541.7491 +300750.SZ,20200109,115.0,1.6767,2.2473,1.03,74.9818,56.7796,6.8744,8.5767,5.8611,0.1227,0.1227,220839.97,120258.9511,89725.1927,25396596.55,13829779.3765 +300750.SZ,20200108,109.6,1.5986,2.1425,0.96,71.4609,54.1134,6.5516,8.1739,5.5858,0.1288,0.1288,220839.97,120258.9511,89725.1927,24204060.712,13180381.0406 +300750.SZ,20200107,108.5,1.1232,1.5054,0.61,70.7437,53.5703,6.4858,8.0919,5.5298,0.1301,0.1301,220839.97,120258.9511,89725.1927,23961136.745,13048096.1944 +300750.SZ,20200106,109.09,2.2036,2.9535,1.23,71.1284,53.8616,6.5211,8.1359,5.5599,0.1294,0.1294,220839.97,120258.9511,89725.1927,24091432.3273,13119048.9755 +300750.SZ,20200103,109.55,1.5038,2.0155,0.86,71.4283,54.0887,6.5486,8.1702,5.5833,0.1288,0.1288,220839.97,120258.9511,89725.1927,24193018.7135,13174368.093 +300750.SZ,20200102,107.52,1.7139,2.2972,0.96,70.1047,53.0864,6.4272,8.0188,5.4798,0.1313,0.1313,220839.97,120258.9511,89725.1927,23744713.5744,12930242.4223 +300750.SZ,20191231,106.4,1.7879,2.3963,0.93,69.3745,52.5334,6.3603,7.9353,5.4228,0.0,0.1326,220839.97,120258.9511,89725.1927,23497372.808,12795552.397 +300750.SZ,20191230,110.0,1.9606,2.6278,1.11,71.7217,54.3109,6.5755,8.2038,5.6062,0.0,0.1283,220839.97,120258.9511,89725.1927,24292396.7,13228484.621 +300750.SZ,20191227,104.2,2.0003,2.681,1.3,67.94,51.4472,6.2288,7.7712,5.3106,0.0,0.1355,220839.97,120258.9511,89725.1927,23011524.874,12530982.7046 +300750.SZ,20191226,105.12,1.2341,1.6541,0.84,68.5399,51.9015,6.2838,7.8398,5.3575,0.0,0.1343,220839.97,120258.9511,89725.1927,23214697.6464,12641620.9396 +300750.SZ,20191225,105.3,1.9381,2.5977,1.39,68.6572,51.9903,6.2945,7.8532,5.3667,0.0,0.134,220839.97,120258.9511,89725.1927,23254448.841,12663267.5508 +300750.SZ,20191224,99.5,2.47,3.3106,1.82,64.8755,49.1267,5.9478,7.4207,5.0711,0.0,0.1418,220839.97,120258.9511,89725.1927,21973577.015,11965765.6345 +300750.SZ,20191223,92.9,1.176,1.5762,0.82,60.5722,45.868,5.5533,6.9285,4.7347,0.0,0.1519,220839.97,120258.9511,89725.1927,20516033.213,11172056.5572 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+300750.SZ,20190715,73.66,0.9416,1.1757,1.12,47.724,40.2004,4.7255,5.4588,4.5049,0.0,,219444.5,119705.6171,95869.8792,16164281.87,8817515.7556 +300750.SZ,20190712,73.88,0.7867,0.9823,0.95,47.8665,40.3205,4.7396,5.4751,4.5184,0.0,,219444.5,119705.6171,95869.8792,16212559.66,8843850.9913 +300750.SZ,20190711,72.42,0.5904,0.7372,0.7,46.9328,39.534,4.6445,5.3683,4.4302,0.0,,219501.74,119705.6171,95869.8792,15896316.0108,8669080.7904 +300750.SZ,20190710,72.25,1.3309,1.6618,1.4,46.8227,39.4412,4.6336,5.3557,4.4198,0.0,,219501.74,119705.6171,95869.8792,15859000.715,8648730.8355 +300750.SZ,20190709,70.86,0.8022,1.0016,0.75,45.9219,38.6824,4.5444,5.2527,4.3348,0.0,,219501.74,119705.6171,95869.8792,15553893.2964,8482340.0277 +300750.SZ,20190708,68.86,0.6937,0.8662,0.61,44.6257,37.5906,4.4162,5.1044,4.2124,0.0,,219501.74,119705.6171,95869.8792,15114889.8164,8242928.7935 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+300750.SZ,20190627,69.93,0.9147,1.1421,1.13,45.3192,38.1747,4.4848,5.1838,4.2779,0.0,,219501.74,119705.6171,95869.8792,15349756.6782,8371013.8038 +300750.SZ,20190626,69.98,0.7893,0.9855,0.89,45.3516,38.202,4.488,5.1875,4.281,0.0,,219501.74,119705.6171,95869.8792,15360731.7652,8376999.0847 +300750.SZ,20190625,68.83,0.6381,0.7968,0.71,44.6063,37.5742,4.4142,5.1022,4.2106,0.0,,219501.74,119705.6171,95869.8792,15108304.7642,8239337.625 +300750.SZ,20190624,68.86,0.5518,0.689,0.56,44.6257,37.5906,4.4162,5.1044,4.2124,0.0,,219501.74,119705.6171,95869.8792,15114889.8164,8242928.7935 +300750.SZ,20190621,69.09,0.9873,1.2328,0.87,44.7748,37.7162,4.4309,5.1215,4.2265,0.0,,219501.74,119705.6171,95869.8792,15165375.2166,8270461.0854 +300750.SZ,20190620,69.06,1.0706,1.3368,0.84,44.7553,37.6998,4.429,5.1193,4.2247,0.0,,219501.74,119705.6171,95869.8792,15158790.1644,8266869.9169 +300750.SZ,20190619,69.68,1.1931,1.4897,0.92,45.1571,38.0383,4.4687,5.1652,4.2626,0.0,,219501.74,119705.6171,95869.8792,15294881.2432,8341087.3995 +300750.SZ,20190618,71.05,0.6834,0.8533,0.44,46.045,38.7861,4.5566,5.2668,4.3464,0.0,,219501.74,119705.6171,95869.8792,15595598.627,8505084.095 +300750.SZ,20190617,71.96,1.0083,1.259,0.67,46.6347,39.2829,4.615,5.3342,4.4021,0.0,,219501.74,119705.6171,95869.8792,15795345.2104,8614016.2065 +300750.SZ,20190614,72.18,1.707,2.1314,1.39,46.7773,39.403,4.6291,5.3505,4.4155,0.0,,219501.74,119705.6171,95869.8792,15843635.5932,8640351.4423 +300750.SZ,20190613,71.01,1.8001,2.2477,1.89,46.0191,38.7643,4.554,5.2638,4.344,0.0,,219501.74,119705.6171,95869.8792,15586818.5574,8500295.8703 +300750.SZ,20190612,68.65,1.2824,1.6012,1.71,44.4896,37.476,4.4027,5.0889,4.1996,0.0,,219501.74,119705.6171,95869.8792,15068794.451,8217790.6139 +300750.SZ,20190611,68.19,2.0139,2.5146,5.02,44.1915,37.2249,4.3732,5.0548,4.1715,0.0,,219501.74,119705.6171,95869.8792,14967823.6506,8162726.03 +300750.SZ,20190610,67.6,4.0716,4.0716,2.5,43.8092,36.9028,4.3353,5.011,4.1354,0.0,,219501.74,21724.3733,21724.3733,14838317.624,1468567.6351 +300750.SZ,20190606,66.94,1.7255,1.7255,1.11,43.3814,36.5425,4.293,4.9621,4.095,0.0,,219501.74,21724.3733,21724.3733,14693446.4756,1454229.5487 +300750.SZ,20190605,69.07,2.3058,2.3058,1.66,44.7618,37.7053,4.4296,5.12,4.2253,0.0,,219501.74,21724.3733,21724.3733,15160985.1818,1500502.4638 +300750.SZ,20190604,66.87,1.4577,1.4577,0.92,43.3361,36.5043,4.2885,4.9569,4.0907,0.0,,219501.74,21724.3733,21724.3733,14678081.3538,1452708.8426 +300750.SZ,20190603,68.16,1.4973,1.4973,0.89,44.1721,37.2085,4.3713,5.0525,4.1696,0.0,,219501.74,21724.3733,21724.3733,14961238.5984,1480733.2841 +300750.SZ,20190531,69.44,1.1585,1.1585,0.67,45.0016,37.9072,4.4533,5.1474,4.2479,0.0,,219501.74,21724.3733,21724.3733,15242200.8256,1508540.482 +300750.SZ,20190530,69.81,1.3223,1.3223,0.71,45.2414,38.1092,4.4771,5.1749,4.2706,0.0,,219501.74,21724.3733,21724.3733,15323416.4694,1516578.5001 +300750.SZ,20190529,70.57,1.5168,1.5168,0.83,45.7339,38.5241,4.5258,5.2312,4.3171,0.0,,219501.74,21724.3733,21724.3733,15490237.7918,1533089.0238 +300750.SZ,20190528,71.88,2.448,2.448,1.5,46.5829,39.2392,4.6098,5.3283,4.3972,0.0,,219501.74,21724.3733,21724.3733,15777785.0712,1561547.9528 +300750.SZ,20190527,69.2,2.0111,2.0111,1.22,44.8461,37.7762,4.438,5.1296,4.2332,0.0,,219501.74,21724.3733,21724.3733,15189520.408,1503326.6324 +300750.SZ,20190524,67.85,1.3492,1.3492,0.79,43.9712,37.0393,4.3514,5.0296,4.1507,0.0,,219501.74,21724.3733,21724.3733,14893193.059,1473998.7284 +300750.SZ,20190523,67.48,2.0262,2.0262,1.23,43.7314,36.8373,4.3276,5.0021,4.128,0.0,,219501.74,21724.3733,21724.3733,14811977.4152,1465960.7103 +300750.SZ,20190522,69.37,1.2808,1.2808,0.64,44.9562,37.869,4.4489,5.1422,4.2436,0.0,,219501.74,21724.3733,21724.3733,15226835.7038,1507019.7758 +300750.SZ,20190521,70.15,1.4707,1.4707,0.7,45.4617,38.2948,4.4989,5.2001,4.2914,0.0,,219501.74,21724.3733,21724.3733,15398047.061,1523964.787 +300750.SZ,20190520,69.69,2.0823,2.0823,0.99,45.1636,38.0437,4.4694,5.166,4.2632,0.0,,219501.74,21724.3733,21724.3733,15297076.2606,1513971.5753 +300750.SZ,20190517,72.25,1.6573,1.6573,0.73,46.8227,39.4412,4.6336,5.3557,4.4198,0.0,,219501.74,21724.3733,21724.3733,15859000.715,1569585.9709 +300750.SZ,20190516,74.33,1.7203,1.7203,0.72,48.1706,40.5767,4.767,5.5099,4.5471,0.0,,219501.74,21724.3733,21724.3733,16315564.3342,1614772.6674 +300750.SZ,20190515,74.98,3.0471,3.0471,1.46,48.5919,40.9315,4.8086,5.5581,4.5868,0.0,,219501.74,21724.3733,21724.3733,16458240.4652,1628893.51 +300750.SZ,20190514,72.16,1.9945,1.9945,0.98,46.7643,39.3921,4.6278,5.3491,4.4143,0.0,,219501.74,21724.3733,21724.3733,15839245.5584,1567630.7773 +300750.SZ,20190513,71.59,2.1325,2.1325,0.97,46.3949,39.0809,4.5912,5.3068,4.3795,0.0,,219501.74,21724.3733,21724.3733,15714129.5666,1555247.8845 +300750.SZ,20190510,74.1,2.4891,2.4891,1.25,48.0216,40.4511,4.7522,5.4929,4.533,0.0,,219501.74,21724.3733,21724.3733,16265078.934,1609776.0615 +300750.SZ,20190509,72.7,2.2157,2.2157,1.11,47.1143,39.6869,4.6624,5.3891,4.4474,0.0,,219501.74,21724.3733,21724.3733,15957776.498,1579361.9389 +300750.SZ,20190508,74.61,1.6109,1.6109,0.81,48.3521,40.7295,4.7849,5.5307,4.5642,0.0,,219501.74,21724.3733,21724.3733,16377024.8214,1620855.4919 +300750.SZ,20190507,75.85,1.7087,1.7087,0.8,49.1557,41.4064,4.8644,5.6226,4.6401,0.0,,219501.74,21724.3733,21724.3733,16649206.979,1647793.7148 +300750.SZ,20190506,75.7,3.0119,3.0119,1.5,49.0585,41.3246,4.8548,5.6115,4.6309,0.0,,219501.74,21724.3733,21724.3733,16616281.718,1644535.0588 +300750.SZ,20190430,79.76,1.4311,1.4311,0.51,51.6896,43.5409,5.1152,5.9124,4.8792,0.0,,219501.74,21724.3733,21724.3733,17507458.7824,1732736.0144 +300750.SZ,20190429,79.78,2.2041,2.2041,0.75,51.7026,43.5518,5.1165,5.9139,4.8805,0.0,,219501.74,21724.3733,21724.3733,17511848.8172,1733170.5019 +300750.SZ,20190426,79.35,1.6073,1.6073,0.5,51.4239,51.4239,5.2879,5.882,5.882,0.0,,219501.74,21724.3733,21724.3733,17417463.069,1723829.0214 +300750.SZ,20190425,79.1,2.4384,2.4384,0.72,51.2619,51.2619,5.2712,5.8635,5.8635,0.0,,219501.74,21724.3733,21724.3733,17362587.634,1718397.928 +300750.SZ,20190424,79.78,2.3634,2.3634,0.49,45.1574,48.932,5.2858,8.7573,5.9139,0.0,,219501.74,21724.3733,21724.3733,17511848.8172,1733170.5019 +300750.SZ,20190423,78.17,5.3055,5.3055,1.25,44.2461,47.9445,5.1791,8.5806,5.7946,0.0,,219501.74,21724.3733,21724.3733,17158451.0158,1698194.2609 +300750.SZ,20190422,81.23,3.0607,3.0607,0.73,45.9782,49.8213,5.3819,8.9165,6.0214,0.0,,219501.74,21724.3733,21724.3733,17830126.3402,1764670.8432 +300750.SZ,20190419,83.2,2.8985,2.8985,0.7,47.0932,51.0296,5.5124,9.1327,6.1674,0.0,,219501.74,21724.3733,21724.3733,18262544.768,1807467.8586 +300750.SZ,20190418,84.65,3.2506,3.2506,0.75,47.914,51.9189,5.6084,9.2919,6.2749,0.0,,219501.74,21724.3733,21724.3733,18580822.291,1838968.1998 +300750.SZ,20190417,86.11,9.4366,9.4366,2.74,48.7404,52.8144,5.7052,9.4521,6.3831,0.0,,219501.74,21724.3733,21724.3733,18901294.8314,1870685.7849 +300750.SZ,20190416,82.27,2.6324,2.6324,0.65,46.5668,50.4592,5.4508,9.0306,6.0985,0.0,,219501.74,21724.3733,21724.3733,18058408.1498,1787264.1914 +300750.SZ,20190415,80.97,2.7596,2.7596,0.61,45.831,49.6618,5.3646,8.8879,6.0021,0.0,,219501.74,21724.3733,21724.3733,17773055.8878,1759022.5061 +300750.SZ,20190412,81.98,2.7323,2.7323,0.6,46.4027,50.2813,5.4315,8.9988,6.077,0.0,,219501.74,21724.3733,21724.3733,17994752.6452,1780964.1231 +300750.SZ,20190411,80.72,4.1215,4.1215,0.93,45.6895,49.5085,5.3481,8.8605,5.9836,0.0,,219501.74,21724.3733,21724.3733,17718180.4528,1753591.4128 +300750.SZ,20190410,82.24,4.9902,4.9902,1.14,46.5499,50.4408,5.4488,9.0273,6.0963,0.0,,219501.74,21724.3733,21724.3733,18051823.0976,1786612.4602 +300750.SZ,20190409,83.91,5.4972,5.4972,1.34,47.4951,51.465,5.5594,9.2106,6.2201,0.0,,219501.74,21724.3733,21724.3733,18418391.0034,1822892.1636 +300750.SZ,20190408,82.29,5.237,5.237,1.41,46.5782,50.4714,5.4521,9.0328,6.1,0.0,,219501.74,21724.3733,21724.3733,18062798.1846,1787698.6789 +300750.SZ,20190404,84.17,3.0747,3.0747,0.84,47.6423,51.6245,5.5766,9.2392,6.2393,0.0,,219501.74,21724.3733,21724.3733,18475461.4558,1828540.5007 +300750.SZ,20190403,84.48,3.3069,3.3069,0.86,47.8177,51.8146,5.5972,9.2732,6.2623,0.0,,219501.74,21724.3733,21724.3733,18543506.9952,1835275.0564 +300750.SZ,20190402,84.98,4.7142,4.7142,1.24,48.1008,52.1213,5.6303,9.3281,6.2994,0.0,,219501.74,21724.3733,21724.3733,18653257.8652,1846137.243 +300750.SZ,20190401,86.35,4.2529,4.2529,1.02,48.8762,52.9616,5.7211,9.4785,6.4009,0.0,,219501.74,21724.3733,21724.3733,18953975.249,1875899.6345 +300750.SZ,20190329,85.0,3.2793,3.2793,0.81,48.1121,52.1336,5.6316,9.3303,6.3009,0.0,,219501.74,21724.3733,21724.3733,18657647.9,1846571.7305 +300750.SZ,20190328,83.2,2.6961,2.6961,0.63,47.0932,51.0296,5.5124,9.1327,6.1674,0.0,,219501.74,21724.3733,21724.3733,18262544.768,1807467.8586 +300750.SZ,20190327,83.41,4.3693,4.3693,1.04,47.2121,51.1584,5.5263,9.1558,6.183,0.0,,219501.74,21724.3733,21724.3733,18308640.1334,1812029.977 +300750.SZ,20190326,85.3,4.4741,4.4741,1.14,48.2819,52.3176,5.6515,9.3632,6.3231,0.0,,219501.74,21724.3733,21724.3733,18723498.422,1853089.0425 +300750.SZ,20190325,89.0,5.9798,5.9798,1.75,50.3762,54.5869,5.8967,9.7694,6.5974,0.0,,219501.74,21724.3733,21724.3733,19535654.86,1933469.2237 +300750.SZ,20190322,86.58,2.7706,2.7706,0.77,49.0064,53.1026,5.7363,9.5037,6.418,0.0,,219501.74,21724.3733,21724.3733,19004460.6492,1880896.2403 +300750.SZ,20190321,87.12,3.7451,3.7451,1.05,49.3121,53.4338,5.7721,9.563,6.458,0.0,,219501.74,21724.3733,21724.3733,19122991.5888,1892627.4019 +300750.SZ,20190320,87.17,4.0572,4.0572,1.18,49.3404,53.4645,5.7754,9.5685,6.4617,0.0,,219501.74,21724.3733,21724.3733,19133966.6758,1893713.6206 +300750.SZ,20190319,88.6,3.138,3.138,0.75,50.1498,54.3416,5.8702,9.7255,6.5677,0.0,,219501.74,21724.3733,21724.3733,19447854.164,1924779.4744 +300750.SZ,20190318,89.28,3.3491,3.3491,0.77,50.5347,54.7586,5.9152,9.8001,6.6181,0.0,,219501.74,21724.3733,21724.3733,19597115.3472,1939552.0482 +300750.SZ,20190315,89.83,3.6004,3.6004,0.77,50.846,55.096,5.9516,9.8605,6.6589,0.0,,219501.74,21724.3733,21724.3733,19717841.3042,1951500.4535 +300750.SZ,20190314,88.95,3.6745,3.6745,0.71,50.3479,54.5562,5.8933,9.7639,6.5937,0.0,,219501.74,21724.3733,21724.3733,19524679.773,1932383.005 +300750.SZ,20190313,88.08,3.4881,3.4881,0.64,49.8554,54.0226,5.8357,9.6684,6.5292,0.0,,219501.74,21724.3733,21724.3733,19333713.2592,1913482.8003 +300750.SZ,20190312,91.07,6.7958,6.7958,1.39,51.5478,55.8565,6.0338,9.9966,6.7508,0.0,,219501.74,21724.3733,21724.3733,19990023.4618,1978438.6764 +300750.SZ,20190311,87.92,4.3061,4.3061,0.81,49.7649,53.9245,5.8251,9.6508,6.5173,0.0,,219501.74,21724.3733,21724.3733,19298592.9808,1910006.9005 +300750.SZ,20190308,84.97,5.0955,5.0955,0.98,48.0951,52.1152,5.6296,9.327,6.2986,0.0,,219501.74,21724.3733,21724.3733,18651062.8478,1845919.9993 +300750.SZ,20190307,87.89,6.3096,6.3096,1.37,49.7479,53.9061,5.8231,9.6475,6.5151,0.0,,219501.74,21724.3733,21724.3733,19292007.9286,1909355.1693 +300750.SZ,20190306,91.2,4.8024,4.8024,1.07,51.6214,55.9362,6.0424,10.0109,6.7605,0.0,,219501.74,21724.3733,21724.3733,20018558.688,1981262.845 +300750.SZ,20190305,92.6,3.9659,3.9659,0.84,52.4139,56.7949,6.1352,10.1645,6.8642,0.0,,219501.74,21724.3733,21724.3733,20325861.124,2011676.9676 +300750.SZ,20190304,92.39,6.4614,6.4614,1.33,52.295,56.6661,6.1213,10.1415,6.8487,0.0,,219501.74,21724.3733,21724.3733,20279765.7586,2007114.8492 +300750.SZ,20190301,90.03,4.4279,4.4279,0.92,50.9592,55.2186,5.9649,9.8824,6.6737,0.0,,219501.74,21724.3733,21724.3733,19761741.6522,1955845.3282 +300750.SZ,20190228,87.7,3.3326,3.3326,0.68,49.6403,53.7896,5.8105,9.6267,6.501,0.0,,219501.74,21724.3733,21724.3733,19250302.598,1905227.5384 +300750.SZ,20190227,86.05,4.1906,4.1906,0.91,48.7064,51.2436,5.8475,9.4455,6.9539,0.0,,219501.74,21724.3733,21724.3733,18888124.727,1869382.3225 +300750.SZ,20190226,88.5,5.2127,5.2127,1.18,50.0932,52.7026,6.014,9.7145,7.1519,0.0,,219501.74,21724.3733,21724.3733,19425903.99,1922607.0371 +300750.SZ,20190225,91.32,7.094,7.094,1.86,51.6894,54.382,6.2056,10.024,7.3798,0.0,,219501.74,21724.3733,21724.3733,20044898.8968,1983869.7698 +300750.SZ,20190222,84.37,4.1244,4.1244,1.04,47.7555,50.2432,5.7333,9.2611,6.8181,0.0,,219501.74,21724.3733,21724.3733,18519361.8038,1832885.3753 +300750.SZ,20190221,83.33,3.7878,3.7878,0.87,47.1668,49.6239,5.6626,9.147,6.7341,0.0,,219501.74,21724.3733,21724.3733,18291079.9942,1810292.0271 +300750.SZ,20190220,83.17,2.7929,2.7929,0.62,47.0763,49.5286,5.6518,9.1294,6.7212,0.0,,219501.74,21724.3733,21724.3733,18255959.7158,1806816.1274 +300750.SZ,20190219,82.29,4.3388,4.3388,1.05,46.5782,49.0045,5.592,9.0328,6.6501,0.0,,219501.74,21724.3733,21724.3733,18062798.1846,1787698.6789 +300750.SZ,20190218,84.46,4.041,4.041,0.99,47.8064,50.2968,5.7394,9.271,6.8254,0.0,,219501.74,21724.3733,21724.3733,18539116.9604,1834840.5689 +300750.SZ,20190215,82.42,4.8403,4.8403,1.31,46.6517,49.0819,5.6008,9.0471,6.6606,0.0,,219501.74,21724.3733,21724.3733,18091333.4108,1790522.8474 +300750.SZ,20190214,84.72,5.8567,5.8567,2.0,47.9536,50.4516,5.7571,9.2996,6.8464,0.0,,219501.74,21724.3733,21724.3733,18596187.4128,1840488.906 +300750.SZ,20190213,81.7,3.626,3.626,1.24,46.2442,48.6532,5.5519,8.9681,6.6024,0.0,,219501.74,21724.3733,21724.3733,17933292.158,1774881.2986 +300750.SZ,20190212,81.0,2.2966,2.2966,0.78,45.848,48.2363,5.5043,8.8912,6.5458,0.0,,219501.74,21724.3733,21724.3733,17779640.94,1759674.2373 +300750.SZ,20190211,81.0,3.8405,3.8405,1.48,45.848,48.2363,5.5043,8.8912,6.5458,0.0,,219501.74,21724.3733,21724.3733,17779640.94,1759674.2373 +300750.SZ,20190201,78.4,2.8606,2.8606,1.0,44.3763,46.688,5.3276,8.6058,6.3357,0.0,,219501.74,21724.3733,21724.3733,17208936.416,1703190.8667 +300750.SZ,20190131,76.12,2.0312,2.0312,0.72,43.0858,45.3302,5.1727,8.3555,6.1514,0.0,,219501.74,21724.3733,21724.3733,16708472.4488,1653659.2956 +300750.SZ,20190130,76.2,3.548,3.548,1.39,43.1311,45.3779,5.1781,8.3643,6.1579,0.0,,219501.74,21724.3733,21724.3733,16726032.588,1655397.2455 +300750.SZ,20190129,76.68,2.4103,2.4103,0.98,43.4028,45.6637,5.2107,8.417,6.1967,0.0,,219501.74,21724.3733,21724.3733,16831393.4232,1665824.9446 +300750.SZ,20190128,76.07,2.1307,2.1307,0.85,43.0575,45.3005,5.1693,8.3501,6.1474,0.0,,219501.74,21724.3733,21724.3733,16697497.3618,1652573.0769 +300750.SZ,20190125,77.44,4.1976,4.1976,1.85,43.8329,46.1163,5.2624,8.5004,6.2581,0.0,,219501.74,21724.3733,21724.3733,16998214.7456,1682335.4684 +300750.SZ,20190124,75.17,1.7485,1.7485,0.77,42.5481,44.7645,5.1081,8.2513,6.0747,0.0,,219501.74,21724.3733,21724.3733,16499945.7958,1633021.141 +300750.SZ,20190123,75.44,2.2485,2.2485,1.1,42.7009,44.9253,5.1265,8.2809,6.0965,0.0,,219501.74,21724.3733,21724.3733,16559211.2656,1638886.7218 +300750.SZ,20190122,74.27,1.9604,1.9604,0.89,42.0386,44.2285,5.047,8.1525,6.0019,0.0,,219501.74,21724.3733,21724.3733,16302394.2298,1613469.205 +300750.SZ,20190121,75.24,2.4126,2.4126,1.11,42.5877,44.8062,5.1129,8.259,6.0803,0.0,,219501.74,21724.3733,21724.3733,16515310.9176,1634541.8471 +300750.SZ,20190118,75.4,2.9938,2.9938,1.4,42.6782,44.9015,5.1238,8.2765,6.0933,0.0,,219501.74,21724.3733,21724.3733,16550431.196,1638017.7468 +300750.SZ,20190117,76.66,1.7118,1.7118,0.67,43.3914,45.6518,5.2094,8.4148,6.1951,0.0,,219501.74,21724.3733,21724.3733,16827003.3884,1665390.4572 +300750.SZ,20190116,76.67,1.1848,1.1848,0.34,43.3971,45.6578,5.2101,8.4159,6.1959,0.0,,219501.74,21724.3733,21724.3733,16829198.4058,1665607.7009 +300750.SZ,20190115,77.37,2.7037,2.7037,0.73,43.7933,46.0746,5.2576,8.4928,6.2525,0.0,,219501.74,21724.3733,21724.3733,16982849.6238,1680814.7622 +300750.SZ,20190114,76.08,2.232,2.232,0.58,43.0631,45.3064,5.17,8.3512,6.1482,0.0,,219501.74,21724.3733,21724.3733,16699692.3792,1652790.3207 +300750.SZ,20190111,75.29,2.8248,2.8248,0.71,42.616,44.836,5.1163,8.2644,6.0844,0.0,,219501.74,21724.3733,21724.3733,16526286.0046,1635628.0658 +300750.SZ,20190110,76.28,3.864,3.864,1.07,43.1763,45.4255,5.1836,8.3731,6.1644,0.0,,219501.74,21724.3733,21724.3733,16743592.7272,1657135.1953 +300750.SZ,20190109,77.98,5.6986,5.6986,1.98,44.1386,46.4379,5.2991,8.5597,6.3018,0.0,,219501.74,21724.3733,21724.3733,17116745.6852,1694066.6299 +300750.SZ,20190108,79.33,3.9472,3.9472,1.51,44.9027,47.2418,5.3908,8.7079,6.4108,0.0,,219501.74,21724.3733,21724.3733,17413073.0342,1723394.5339 +300750.SZ,20190107,77.42,2.7479,2.7479,1.09,43.8216,46.1044,5.261,8.4982,6.2565,0.0,,219501.74,21724.3733,21724.3733,16993824.7108,1681900.9809 +300750.SZ,20190104,76.96,3.6389,3.6389,1.62,43.5612,45.8305,5.2298,8.4478,6.2193,0.0,,219501.74,21724.3733,21724.3733,16892853.9104,1671907.7692 +300750.SZ,20190103,73.83,2.0691,2.0691,0.85,41.7896,43.9665,5.0171,8.1042,5.9664,0.0,,219501.74,21724.3733,21724.3733,16205813.4642,1603910.4807 +300750.SZ,20190102,73.66,2.0227,2.0227,0.79,41.6934,43.8653,5.0055,8.0855,5.9526,0.0,,219501.74,21724.3733,21724.3733,16168498.1684,1600217.3373 +300750.SZ,20181228,73.8,2.5912,2.5912,0.9,41.7726,43.9486,5.015,8.1009,5.964,,,219501.74,21724.3733,21724.3733,16199228.412,1603258.7495 +300750.SZ,20181227,75.78,2.247,2.247,0.68,42.8933,45.1278,5.1496,8.3182,6.124,,,219501.74,21724.3733,21724.3733,16633841.8572,1646273.0087 +300750.SZ,20181226,75.9,2.2672,2.2672,0.64,42.9613,45.1992,5.1577,8.3314,6.1337,,,219501.74,21724.3733,21724.3733,16660182.066,1648879.9335 +300750.SZ,20181225,77.2,3.0327,3.0327,0.9,43.6971,45.9734,5.2461,8.4741,6.2387,,,219501.74,21724.3733,21724.3733,16945534.328,1677121.6188 +300750.SZ,20181224,78.03,2.7337,2.7337,,44.1669,46.4677,5.3025,8.5652,6.3058,,,219501.74,21724.3733,21724.3733,17127720.7722,1695152.8486 +300750.SZ,20181221,78.5,4.0847,4.0847,1.24,44.4329,46.7475,5.3344,8.6168,6.3438,,,219501.74,21724.3733,21724.3733,17230886.59,1705363.3041 +300750.SZ,20181220,77.34,4.499,4.499,1.47,43.7763,46.0568,5.2556,8.4895,6.25,,,219501.74,21724.3733,21724.3733,16976264.5716,1680163.031 +300750.SZ,20181219,79.5,3.2648,3.2648,1.0,44.9989,47.3431,5.4024,8.7266,6.4246,,,219501.74,21724.3733,21724.3733,17450388.33,1727087.6774 +300750.SZ,20181218,79.55,2.2489,2.2489,0.72,45.0272,47.3728,5.4058,8.7321,6.4286,,,219501.74,21724.3733,21724.3733,17461363.417,1728173.896 +300750.SZ,20181217,80.16,3.1598,3.1598,0.98,45.3725,47.7361,5.4472,8.799,6.4779,,,219501.74,21724.3733,21724.3733,17595259.4784,1741425.7637 +300750.SZ,20181214,79.34,3.2639,3.2639,1.06,44.9084,47.2478,5.3915,8.709,6.4117,,,219501.74,21724.3733,21724.3733,17415268.0516,1723611.7776 +300750.SZ,20181213,82.11,3.3347,3.3347,0.96,46.4763,48.8973,5.5797,9.0131,6.6355,,,219501.74,21724.3733,21724.3733,18023287.8714,1783788.2917 +300750.SZ,20181212,81.5,4.3603,4.3603,1.34,46.131,48.5341,5.5383,8.9461,6.5862,,,219501.74,21724.3733,21724.3733,17889391.81,1770536.424 +300750.SZ,20181211,78.56,1.5881,1.5881,0.41,44.4669,46.7833,5.3385,8.6234,6.3486,,,219501.74,21724.3733,21724.3733,17244056.6944,1706666.7664 +300750.SZ,20181210,78.29,3.5015,3.5015,0.82,44.3141,46.6225,5.3202,8.5937,6.3268,,,219501.74,21724.3733,21724.3733,17184791.2246,1700801.1857 +300750.SZ,20181207,79.7,2.5971,2.5971,0.56,45.1122,47.4622,5.416,8.7485,6.4407,,,219501.74,21724.3733,21724.3733,17494288.678,1731432.552 +300750.SZ,20181206,79.01,5.2408,5.2408,1.18,44.7216,47.0513,5.3691,8.6728,6.385,,,219501.74,21724.3733,21724.3733,17342832.4774,1716442.7344 +300750.SZ,20181205,81.37,3.4024,3.4024,0.73,46.0574,48.4567,5.5295,8.9318,6.5757,,,219501.74,21724.3733,21724.3733,17860856.5838,1767712.2554 +300750.SZ,20181204,82.3,4.4096,4.4096,0.97,46.5838,49.0105,5.5927,9.0339,6.6509,,,219501.74,21724.3733,21724.3733,18064993.202,1787915.9226 +300750.SZ,20181203,80.85,5.8208,5.8208,1.43,45.7631,48.147,5.4941,8.8748,6.5337,,,219501.74,21724.3733,21724.3733,17746715.679,1756415.5813 +300750.SZ,20181130,80.03,4.1739,4.1739,0.99,45.2989,47.6587,5.4384,8.7847,6.4674,,,219501.74,21724.3733,21724.3733,17566724.2522,1738601.5952 +300750.SZ,20181129,78.03,4.4817,4.4817,1.22,44.1669,46.4677,5.3025,8.5652,6.3058,,,219501.74,21724.3733,21724.3733,17127720.7722,1695152.8486 +300750.SZ,20181128,78.68,4.5658,4.5658,1.33,44.5348,46.8547,5.3467,8.6366,6.3583,,,219501.74,21724.3733,21724.3733,17270396.9032,1709273.6912 +300750.SZ,20181127,75.6,3.661,3.661,1.07,42.7915,45.0206,5.1374,8.2985,6.1094,,,219501.74,21724.3733,21724.3733,16594331.544,1642362.6215 +300750.SZ,20181126,74.62,3.503,3.503,1.03,42.2367,44.437,5.0708,8.1909,6.0302,,,219501.74,21724.3733,21724.3733,16379219.8388,1621072.7356 +300750.SZ,20181123,73.98,4.789,4.789,1.44,41.8745,44.0558,5.0273,8.1206,5.9785,,,219501.74,21724.3733,21724.3733,16238738.7252,1607169.1367 +300750.SZ,20181122,77.91,1.8743,1.8743,0.51,44.099,46.3962,5.2943,8.552,6.2961,,,219501.74,21724.3733,21724.3733,17101380.5634,1692545.9238 +300750.SZ,20181121,78.65,3.3671,3.3671,0.85,44.5178,46.8369,5.3446,8.6333,6.3559,,,219501.74,21724.3733,21724.3733,17263811.851,1708621.96 +300750.SZ,20181120,77.77,3.5546,3.5546,0.78,44.0197,46.3128,5.2848,8.5367,6.2848,,,219501.74,21724.3733,21724.3733,17070650.3198,1689504.5115 +300750.SZ,20181119,79.35,3.3414,3.3414,0.63,44.914,47.2537,5.3922,8.7101,6.4125,,,219501.74,21724.3733,21724.3733,17417463.069,1723829.0214 +300750.SZ,20181116,80.11,4.5154,4.5154,0.91,45.3442,47.7063,5.4438,8.7935,6.4739,,,219501.74,21724.3733,21724.3733,17584284.3914,1740339.5451 +300750.SZ,20181115,81.35,3.4877,3.4877,0.7,46.0461,48.4447,5.5281,8.9296,6.5741,,,219501.74,21724.3733,21724.3733,17856466.549,1767277.768 +300750.SZ,20181114,81.0,4.9671,4.9671,0.96,45.848,48.2363,5.5043,8.8912,6.5458,,,219501.74,21724.3733,21724.3733,17779640.94,1759674.2373 +300750.SZ,20181113,81.63,6.5765,6.5765,1.33,46.2046,48.6115,5.5471,8.9604,6.5967,,,219501.74,21724.3733,21724.3733,17917927.0362,1773360.5925 +300750.SZ,20181112,83.25,6.854,6.854,1.43,47.1215,49.5762,5.6572,9.1382,6.7276,,,219501.74,21724.3733,21724.3733,18273519.855,1808554.0772 +300750.SZ,20181109,77.75,2.7913,2.7913,0.51,44.0084,46.3009,5.2835,8.5345,6.2832,,,219501.74,21724.3733,21724.3733,17066260.285,1689070.0241 +300750.SZ,20181108,77.31,3.7032,3.7032,0.66,43.7594,46.0389,5.2536,8.4862,6.2476,,,219501.74,21724.3733,21724.3733,16969679.5194,1679511.2998 +300750.SZ,20181107,79.04,5.827,5.827,1.08,44.7386,47.0691,5.3711,8.6761,6.3874,,,219501.74,21724.3733,21724.3733,17349417.5296,1717094.4656 +300750.SZ,20181106,81.57,5.6001,5.6001,1.03,46.1706,48.5758,5.543,8.9538,6.5919,,,219501.74,21724.3733,21724.3733,17904756.9318,1772057.1301 +300750.SZ,20181105,79.39,6.0133,6.0133,1.11,44.9367,47.2775,5.3949,8.7145,6.4157,,,219501.74,21724.3733,21724.3733,17426243.1386,1724697.9963 +300750.SZ,20181102,78.48,6.309,6.309,1.09,44.4216,46.7356,5.3331,8.6146,6.3422,,,219501.74,21724.3733,21724.3733,17226496.5552,1704928.8166 +300750.SZ,20181101,73.61,4.4761,4.4761,0.73,41.6651,43.8355,5.0021,8.08,5.9486,,,219501.74,21724.3733,21724.3733,16157523.0814,1599131.1186 +300750.SZ,20181031,74.5,4.5085,4.5085,0.73,42.1688,44.3655,5.0626,8.1777,6.0205,,,219501.74,21724.3733,21724.3733,16352879.63,1618465.8109 +300750.SZ,20181030,75.0,5.9323,5.9323,0.97,42.4518,44.6633,5.0966,8.2326,6.0609,,,219501.74,21724.3733,21724.3733,16462630.5,1629327.9975 +300750.SZ,20181029,70.76,5.8551,5.8551,0.88,40.0519,42.1383,4.8085,7.7672,5.7183,,,219501.74,21724.3733,21724.3733,15531943.1224,1537216.6547 +300750.SZ,20181026,74.6,8.1437,8.1437,1.29,42.2254,44.4251,5.0694,8.1887,6.0286,,,219501.74,21724.3733,21724.3733,16374829.804,1620638.2482 +300750.SZ,20181025,80.91,6.1554,6.1554,1.02,45.797,60.5731,5.618,8.8813,7.701,,,219501.74,21724.3733,21724.3733,17759885.7834,1757719.0437 +300750.SZ,20181024,77.0,4.6228,4.6228,0.72,43.5839,57.6459,5.3465,8.4521,7.3289,,,219501.74,21724.3733,21724.3733,16901633.98,1672776.7441 +300750.SZ,20181023,78.0,5.8628,5.8628,0.94,44.1499,58.3946,5.4159,8.5619,7.424,,,219501.74,21724.3733,21724.3733,17121135.72,1694501.1174 +300750.SZ,20181022,79.1,8.3346,8.3346,1.3,44.7725,59.2181,5.4923,8.6827,7.5287,,,219501.74,21724.3733,21724.3733,17362587.634,1718397.928 +300750.SZ,20181019,73.77,6.502,6.502,1.11,41.7556,55.2278,5.1222,8.0976,7.0214,,,219501.74,21724.3733,21724.3733,16192643.3598,1602607.0183 +300750.SZ,20181018,68.03,4.9764,4.9764,0.82,38.5066,50.9305,4.7237,7.4675,6.4751,,,219501.74,21724.3733,21724.3733,14932703.3722,1477909.1156 +300750.SZ,20181017,70.0,6.5512,6.5512,1.21,39.6217,52.4054,4.8604,7.6838,6.6626,,,219501.74,21724.3733,21724.3733,15365121.8,1520706.131 +300750.SZ,20181016,68.85,4.8113,4.8113,0.85,38.9708,51.5444,4.7806,7.5575,6.5531,,,219501.74,21724.3733,21724.3733,15112694.799,1495723.1017 +300750.SZ,20181015,69.15,9.1149,9.1149,1.8,39.1406,51.769,4.8014,7.5905,6.5817,,,219501.74,21724.3733,21724.3733,15178545.321,1502240.4137 +300750.SZ,20181012,62.86,3.9588,3.9588,0.74,35.5803,47.06,4.3647,6.9,5.983,,,219501.74,21724.3733,21724.3733,13797879.3764,1365594.1056 +300750.SZ,20181011,60.45,5.8964,5.8964,1.08,34.2162,45.2558,4.1973,6.6355,5.7536,,,219501.74,21724.3733,21724.3733,13268880.183,1313238.366 +300750.SZ,20181010,64.9,3.2973,3.2973,0.53,36.735,48.5873,4.5063,7.1239,6.1772,,,219501.74,21724.3733,21724.3733,14245662.926,1409911.8272 +300750.SZ,20181009,64.9,6.1633,6.1633,1.13,36.735,48.5873,4.5063,7.1239,6.1772,,,219501.74,21724.3733,21724.3733,14245662.926,1409911.8272 +300750.SZ,20181008,68.45,6.0378,6.0378,1.22,38.7444,51.245,4.7528,7.5136,6.5151,,,219501.74,21724.3733,21724.3733,15024894.103,1487033.3524 +300750.SZ,20180928,73.0,5.4874,5.4874,1.15,41.3198,54.6513,5.0688,8.0131,6.9481,,,219501.74,21724.3733,21724.3733,16023627.02,1585879.2509 +300750.SZ,20180927,72.55,6.3038,6.3038,1.43,41.0651,54.3144,5.0375,7.9637,6.9053,,,219501.74,21724.3733,21724.3733,15924851.237,1576103.2829 +300750.SZ,20180926,72.89,7.3933,7.3933,2.04,41.2575,54.569,5.0611,8.001,6.9377,,,219501.74,21724.3733,21724.3733,15999481.8286,1583489.5698 +300750.SZ,20180925,68.33,1.9352,1.9352,0.5,38.6765,51.1551,4.7445,7.5005,6.5037,,,219501.74,21724.3733,21724.3733,14998553.8942,1484426.4276 +300750.SZ,20180921,69.19,3.5666,3.5666,0.77,39.1632,51.799,4.8042,7.5949,6.5855,,,219501.74,21724.3733,21724.3733,15187325.3906,1503109.3886 +300750.SZ,20180920,67.99,4.6955,4.6955,1.02,38.484,50.9006,4.7209,7.4631,6.4713,,,219501.74,21724.3733,21724.3733,14923923.3026,1477040.1407 +300750.SZ,20180919,67.33,4.3742,4.3742,0.9,38.1104,50.4065,4.6751,7.3907,6.4085,,,219501.74,21724.3733,21724.3733,14779052.1542,1462702.0543 +300750.SZ,20180918,66.36,3.5855,3.5855,0.76,37.175,49.1692,4.6778,7.2093,6.2512,,,217243.7,21724.3733,21724.3733,14416291.932,1441629.4122 +300750.SZ,20180917,63.71,3.2827,3.2827,0.7,35.6905,47.2057,4.491,6.9214,6.0015,,,217243.7,21724.3733,21724.3733,13840596.127,1384059.8229 +300750.SZ,20180914,65.9,7.2876,7.2876,1.65,36.9173,48.8284,4.6453,7.1593,6.2078,,,217243.7,21724.3733,21724.3733,14316359.83,1431636.2005 +300750.SZ,20180913,64.8,4.535,4.535,1.05,36.3011,48.0134,4.5678,7.0398,6.1042,,,217243.7,21724.3733,21724.3733,14077391.76,1407739.3898 +300750.SZ,20180912,64.5,5.5771,5.5771,1.36,36.133,47.7911,4.5466,7.0072,6.076,,,217243.7,21724.3733,21724.3733,14012218.65,1401222.0779 +300750.SZ,20180911,62.57,3.0516,3.0516,0.72,35.0518,46.361,4.4106,6.7975,5.8941,,,217243.7,21724.3733,21724.3733,13592938.309,1359294.0374 +300750.SZ,20180910,61.35,3.0128,3.0128,0.59,34.3684,45.4571,4.3246,6.665,5.7792,,,217243.7,21724.3733,21724.3733,13327900.995,1332790.302 +300750.SZ,20180907,63.32,5.8683,5.8683,1.09,35.472,46.9168,4.4635,6.879,5.9648,,,217243.7,21724.3733,21724.3733,13755871.084,1375587.3174 +300750.SZ,20180906,61.84,4.0756,4.0756,0.7,34.6429,45.8202,4.3591,6.7182,5.8254,,,217243.7,21724.3733,21724.3733,13434350.408,1343435.2449 +300750.SZ,20180905,61.39,4.4601,4.4601,0.76,34.3908,45.4867,4.3274,6.6693,5.783,,,217243.7,21724.3733,21724.3733,13336590.743,1333659.2769 +300750.SZ,20180904,63.85,3.7136,3.7136,0.54,35.7689,47.3095,4.5008,6.9366,6.0147,,,217243.7,21724.3733,21724.3733,13871010.245,1387101.2352 +300750.SZ,20180903,63.26,7.3239,7.3239,1.11,35.4384,46.8723,4.4592,6.8725,5.9591,,,217243.7,21724.3733,21724.3733,13742836.462,1374283.855 +300750.SZ,20180831,65.5,7.3195,7.3195,1.15,36.6932,48.532,4.6171,7.1158,6.1702,,,217243.7,21724.3733,21724.3733,14229462.35,1422946.4512 +300750.SZ,20180830,69.99,6.2979,6.2979,1.01,39.2085,51.8589,4.9336,7.6036,6.5931,,,217243.7,21724.3733,21724.3733,15204886.563,1520488.8873 +300750.SZ,20180829,73.02,4.7568,4.7568,0.78,40.9059,54.1039,5.1472,7.9328,6.8785,,,217243.7,21724.3733,21724.3733,15863134.974,1586313.7384 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+300750.SZ,20180817,68.16,3.786,3.786,0.71,38.1833,34.4117,4.8565,7.4048,6.6537,,,217243.7,21724.3733,21724.3733,14807330.592,1480733.2841 +300750.SZ,20180816,68.99,4.9324,4.9324,0.81,38.6483,34.8308,4.9156,7.495,6.7348,,,217243.7,21724.3733,21724.3733,14987642.863,1498764.514 +300750.SZ,20180815,69.11,5.9457,5.9457,0.96,38.7155,34.8913,4.9242,7.508,6.7465,,,217243.7,21724.3733,21724.3733,15013712.107,1501371.4388 +300750.SZ,20180814,71.57,5.4021,5.4021,0.77,40.0936,36.1333,5.0994,7.7753,6.9866,,,217243.7,21724.3733,21724.3733,15548131.609,1554813.3971 +300750.SZ,20180813,74.01,5.0402,5.0402,0.68,41.4605,37.3652,5.2733,8.0404,7.2248,,,217243.7,21724.3733,21724.3733,16078206.237,1607820.8679 +300750.SZ,20180810,74.44,5.3736,5.3736,0.68,41.7014,37.5823,5.3039,8.0871,7.2668,,,217243.7,21724.3733,21724.3733,16171621.028,1617162.3485 +300750.SZ,20180809,74.06,8.5042,8.5042,1.05,41.4885,37.3904,5.2769,8.0458,7.2297,,,217243.7,21724.3733,21724.3733,16089068.422,1608907.0866 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+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 diff --git a/data/CN/300750.SZ/raw_market_metrics_daily_basic.csv b/data/CN/300750.SZ/raw_market_metrics_daily_basic.csv new file mode 100644 index 0000000..9d12256 --- /dev/null +++ b/data/CN/300750.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 +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 diff --git a/data/CN/300750.SZ/raw_market_metrics_shareholder_number.csv b/data/CN/300750.SZ/raw_market_metrics_shareholder_number.csv new file mode 100644 index 0000000..cbbf462 --- /dev/null +++ b/data/CN/300750.SZ/raw_market_metrics_shareholder_number.csv @@ -0,0 +1,2 @@ +ts_code,ann_date,end_date,holder_num +300750.SZ,20251021,20250930,227474 diff --git a/data/CN/300750.SZ/raw_market_metrics_stock_basic.csv b/data/CN/300750.SZ/raw_market_metrics_stock_basic.csv new file mode 100644 index 0000000..b79df29 --- /dev/null +++ b/data/CN/300750.SZ/raw_market_metrics_stock_basic.csv @@ -0,0 +1,2 @@ +name,list_date +宁德时代,20180611 diff --git a/data/CN/300750.SZ/report.html b/data/CN/300750.SZ/report.html index f0ee38d..2af2164 100644 --- a/data/CN/300750.SZ/report.html +++ b/data/CN/300750.SZ/report.html @@ -25,26 +25,25 @@ body { max-width: 1400px; margin: 0 auto; } - +
代码简称日期上市日期PEPB股息率(%)
300750.SZ宁德时代2025-12-142018-06-1135.245.691.72%300750.SZ宁德时代2025-12-172018-06-1134.485.571.76%
- - - - - - - - - - - + + + + + + + + + + - + @@ -56,7 +55,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -70,7 +68,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -84,7 +81,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -98,7 +94,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -112,7 +107,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -126,7 +120,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -140,8 +133,7 @@ body { max-width: 1400px; margin: 0 auto; } - - + @@ -154,7 +146,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -168,8 +159,7 @@ body { max-width: 1400px; margin: 0 auto; } - - + @@ -182,7 +172,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -196,7 +185,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -210,7 +198,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -225,7 +212,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -238,7 +224,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -252,7 +237,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -267,9 +251,8 @@ body { max-width: 1400px; margin: 0 auto; } - - + @@ -281,7 +264,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -295,7 +277,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -310,7 +291,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -323,7 +303,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -337,7 +316,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -351,10 +329,9 @@ body { max-width: 1400px; margin: 0 auto; } - - + @@ -366,7 +343,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -380,7 +356,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -394,7 +369,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -408,7 +382,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -422,7 +395,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -436,7 +408,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -450,7 +421,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -464,7 +434,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -478,7 +447,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -492,7 +460,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -506,7 +473,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -520,7 +486,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -534,7 +499,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -548,10 +512,9 @@ body { max-width: 1400px; margin: 0 auto; } - - + @@ -563,7 +526,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -577,7 +539,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -591,7 +552,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -605,7 +565,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -619,10 +578,9 @@ body { max-width: 1400px; margin: 0 auto; } - - + @@ -635,7 +593,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -649,7 +606,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -663,7 +619,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -677,9 +632,8 @@ body { max-width: 1400px; margin: 0 auto; } - - + @@ -692,7 +646,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -706,7 +659,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -720,7 +672,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -734,7 +685,6 @@ body { max-width: 1400px; margin: 0 auto; } - @@ -748,6 +698,5 @@ body { max-width: 1400px; margin: 0 auto; } -
指标2025 Q320242023202220212020201920182017201620152025-09-302024-12-312023-12-312022-12-312021-12-312020-12-312019-12-312018-12-312017-12-312015-12-31
主要指标
主要指标
ROE 15.60%11.96% 10.28% 15.70%18.41% 74.23%
4.50% 4.58% 7.81%9.98% 10.73%
15.01% 12.48% 14.61%21.79% 92.04%
29.06% 32.79% 36.29%43.70% 38.64%
9.96% 11.44% 19.39%19.17% 16.32%
457.88 296.11 199.97148.79 57.03
54.63% 48.08% 34.40%160.90%-557.93%
净利润45.60 33.87 38.7828.52 9.31
34.64% -12.66% 35.98%206.43%-1609.94%
经营净现金流134.72 113.16 23.4121.09 6.65
96.27 66.29 71.8028.01 15.54
38.45 46.87 -48.40-6.92 -8.89
- - --
总资产1,013.52 738.84 496.63285.88 86.73
381.35 329.38 247.01154.89 12.54
1.00 1.00 1.001.00
费用指标
费用指标
销售费用率 0.85%4.71% 4.66% 3.98%4.25% 5.80%
4.00% 5.37% 14.78%14.46% 10.88%
6.72% - --
其他费用率3.85% 4.60% -1.87%5.82% 5.64%
9.04% 7.18% 6.40%4.92% 2.88%
12.99% 11.15% 13.49%14.17% 13.59%
资产占比
资产占比
现金占比 36.18%31.84% 37.53% 28.35%8.59% 14.91%
11.33% 9.58% 6.88%4.76% 12.01%
8.23% 8.43% 13.93%25.59% 27.60%
0.53% 1.17% 0.62%0.35% 0.81%
17.19% 15.67% 16.55%13.04% 15.14%
1.52% 1.31% 1.59%0.59% -
0.15% 0.14% 0.20%0.35% 1.16%
29.22% 26.19% 31.87%46.72% 28.37%
10.55% 9.55% 10.02%11.10% 16.98%
6.08% 6.76% 0.41%0.31% 1.96%
3.16% 2.85% 5.26%5.13% 21.90%
4.91% 4.72% 4.29%1.06% 0.00%
3.46% 2.86% 11.00%19.29% 21.49%
8.07% 7.58% 9.54%6.19% 21.90%
周转能力
周转能力
存货周转天数 138129 129 9759 108
66 76 126179 153
120 129 142138 153
2.63 2.56 2.433.99 4.34
0.45 0.40 0.400.52 0.66
人均效率
人均效率
员工人数 -- - --
人均创收(万)- - --
人均创利(万)- - --
人均薪酬(万)- - --
市场表现
市场表现
股价 402.0073.80 - --
市值(亿)1,620 - --
PE41.77 - --
PB5.01 - --
股东户数82,514 - --
\ No newline at end of file diff --git a/data/CN/300750.SZ/report.md b/data/CN/300750.SZ/report.md index d56d5e0..e667e87 100644 --- a/data/CN/300750.SZ/report.md +++ b/data/CN/300750.SZ/report.md @@ -1,87 +1,88 @@ # 宁德时代 (300750.SZ) - Financial Report -*Report generated on: 2025-12-14* +*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 | 35.24 | 5.69 | 1.72% | +| 300750.SZ | 宁德时代 | 2018-06-11 | 34.48 | 5.57 | 1.76% | ## 主要指标 -| 指标 | 2025 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| ROE | 15.60% | 20.55% | 22.32% | 18.68% | 18.85% | 8.70% | 11.96% | 10.28% | 15.70% | 18.41% | 74.23% | -| ROA | 5.47% | 6.45% | 6.15% | 5.11% | 5.18% | 3.56% | 4.50% | 4.58% | 7.81% | 9.98% | 10.73% | -| ROCE/ROIC | 16.36% | 24.89% | 25.89% | 19.09% | 21.44% | 9.80% | 15.01% | 12.48% | 14.61% | 21.79% | 92.04% | -| 毛利率 | 25.31% | 24.44% | 22.91% | 20.25% | 26.28% | 27.76% | 29.06% | 32.79% | 36.29% | 43.70% | 38.64% | -| 净利润率 | 17.32% | 14.02% | 11.01% | 9.35% | 12.22% | 11.10% | 9.96% | 11.44% | 19.39% | 19.17% | 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 | 148.79 | 57.03 | -| 收入增速 | 9.28% | -9.70% | 22.01% | 152.07% | 159.06% | 9.90% | 54.63% | 48.08% | 34.40% | 160.90% | - | -| 净利润(亿) | 490.34 | 507.45 | 441.21 | 307.29 | 159.31 | 55.83 | 45.60 | 33.87 | 38.78 | 28.52 | 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% | 206.43% | - | -| 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 | 21.09 | 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 | 28.01 | 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 | -6.92 | -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 | 285.88 | 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 | 154.89 | 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 | 1.00 | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 销售费用率 | 0.85% | 0.98% | 4.48% | 3.38% | 3.35% | 4.41% | 4.71% | 4.66% | 3.98% | 4.25% | 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% | 14.46% | 10.88% | -| 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% | 5.82% | 5.64% | -| 折旧费用占比 | - | 6.20% | 5.26% | 3.64% | 4.49% | 9.10% | 9.04% | 7.18% | 6.40% | 4.92% | 2.88% | -| 所得税率 | 13.86% | 14.52% | 13.27% | 8.77% | 10.19% | 12.58% | 12.99% | 11.15% | 13.49% | 14.17% | 13.59% | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 现金占比 | 36.18% | 38.58% | 36.85% | 31.79% | 28.95% | 43.69% | 31.84% | 37.53% | 28.35% | 8.59% | 14.91% | -| 库存占比 | 8.95% | 7.61% | 6.34% | 12.76% | 13.07% | 8.44% | 11.33% | 9.58% | 6.88% | 4.76% | 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% | 25.59% | 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% | 0.35% | 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% | 13.04% | 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% | 0.59% | - | -| 商誉占比 | 0.10% | 0.11% | 0.10% | 0.12% | 0.17% | 0.09% | 0.15% | 0.14% | 0.20% | 0.35% | 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% | 46.72% | 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% | 11.10% | 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% | 0.31% | 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% | 5.13% | 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% | 1.06% | 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% | 19.29% | 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% | 6.19% | 21.90% | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 存货周转天数 | 138 | 79 | 53 | 106 | 152 | 132 | 129 | 129 | 97 | 59 | 108 | -| 应收款周转天数 | 85 | 64 | 58 | 64 | 66 | 81 | 66 | 76 | 126 | 179 | 153 | -| 应付款周转天数 | 227 | 174 | 138 | 131 | 185 | 156 | 120 | 129 | 142 | 138 | 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 | 3.99 | 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 | 0.52 | 0.66 | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 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 | - | - | - | - | - | - | - | - | - | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 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 | - | - | - | +| 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 | - | - | diff --git a/data/CN/600519.SH/balance_sheet.csv b/data/CN/600519.SH/balance_sheet.csv index 38434f8..0ad8d39 100644 --- a/data/CN/600519.SH/balance_sheet.csv +++ b/data/CN/600519.SH/balance_sheet.csv @@ -11,3 +11,10 @@ ts_code,ann_date,f_ann_date,date,report_type,comp_type,end_type,total_share,cap_ 600519.SH,20180328,20180328,20171231,1,1,4,1256197800.0,1374964415.72,80011307450.33,8215595509.69,,87868869913.34,,1221706039.0,,31323463.35,790807322.07,,241458615.89,22057481376.46,,,,,,,,,37539231.49,112249185961.6,29000000.0,,,,,,,15244096632.02,2016405005.77,,,,,3458622239.38,,,177859674.54,1401797361.77,33150000.0,,22360930913.48,,,,,,,,,,,,,,,,,134610116875.08,,,,10462613754.14,,,,992055910.47,14429106902.38,,,1901644193.64,7726135741.9,23414593.67,,3039948303.8,,,,,,,,,,38574919400.0,,,15570000.0,,,,,15570000.0,,,,,,,,,,,,,,,,,38590489400.0,,600859229.62,,,4568104646.12,91451522828.96,96019627475.08,134610116875.08,,-7401576.4,,,,,,,,,,,,,1221706039.0,992055910.47,272782079.24,15244096632.02,2016405005.77,3063362897.47,15570000.0,,,0 600519.SH,20170415,20170415,20161231,1,1,4,1256197800.0,1374964415.72,62717808036.61,7135649963.12,,66854962118.22,,817627172.0,,77227565.37,1046100696.92,,140904856.88,20622251825.55,,,,390000000.0,,,,,231474570.63,90180548805.57,29000000.0,,,,,,,14453177439.34,2745579995.68,,,,,3531740625.6,,,188118776.51,1745539120.68,60833517.03,,22753989474.84,,,,,,,,,,,,,,,,,112934538280.41,,,,10778818332.13,,,,1040608203.18,17541082237.01,,,1628507252.03,4272289194.57,34481635.33,,1724638571.44,,,,,,,,,,37020425425.69,,,15570000.0,,,,,15570000.0,,,,,,,,,,,,,,,,,37035995425.69,,420758409.36,,,3004405071.47,72894137783.25,75898542854.72,112934538280.41,,-11240841.56,,,,,,,,,,,,,817627172.0,1040608203.18,218132422.25,14453177439.34,2745579995.68,1759120206.77,15570000.0,,,0 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a/data/CN/600519.SH/raw_balance_sheet.csv b/data/CN/600519.SH/raw_balance_sheet.csv new file mode 100644 index 0000000..1eaaeb7 --- /dev/null +++ b/data/CN/600519.SH/raw_balance_sheet.csv @@ -0,0 +1,101 @@ 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+600519.SH,20190703,987.9,0.5345,1.4933,1.68,35.252,32.7283,11.7303,16.8525,15.9477,1.1134,1.4717,125619.78,125619.78,44961.3757,124099780.662,124099780.662 +600519.SH,20190702,1025.0,0.3109,0.8688,0.92,36.5759,33.9574,12.1708,17.4854,16.5466,1.0731,1.4184,125619.78,125619.78,44961.3757,128760274.5,128760274.5 +600519.SH,20190701,1031.86,0.4166,1.164,1.27,36.8206,34.1847,12.2523,17.6024,16.6574,1.0659,1.409,125619.78,125619.78,44961.3757,129622026.1908,129622026.1908 +600519.SH,20190628,984.0,0.2475,0.6914,0.7,35.1128,32.5991,11.684,16.786,15.8847,1.1178,1.4775,125619.78,125619.78,44961.3757,123609863.52,123609863.52 +600519.SH,20190627,996.35,0.3819,1.0671,1.0,35.5535,33.0083,10.0889,16.9966,16.0841,1.1039,,125619.78,125619.78,44961.3757,125161267.803,125161267.803 +600519.SH,20190626,979.86,0.2355,0.6581,0.56,34.9651,32.462,9.922,16.7153,15.8179,1.1225,,125619.78,125619.78,44961.3757,123089797.6308,123089797.6308 +600519.SH,20190625,982.98,0.4083,1.1409,1.06,35.0764,32.5653,9.9536,16.7686,15.8683,1.1189,,125619.78,125619.78,44961.3757,123481731.3444,123481731.3444 +600519.SH,20190624,987.1,0.3644,1.0182,1.0,35.2234,32.7018,9.9953,16.8388,15.9348,1.1143,,125619.78,125619.78,44961.3757,123999284.838,123999284.838 +600519.SH,20190621,976.3,0.3656,1.0215,1.02,34.8381,32.344,9.8859,16.6546,15.7604,1.1266,,125619.78,125619.78,44961.3757,122642591.214,122642591.214 +600519.SH,20190620,975.0,0.5355,1.4962,1.76,34.7917,32.301,9.8728,16.6324,15.7395,1.1281,,125619.78,125619.78,44961.3757,122479285.5,122479285.5 +600519.SH,20190619,932.01,0.4277,1.1949,1.53,33.2576,30.8767,9.4374,15.8991,15.0455,1.1801,,125619.78,125619.78,44961.3757,117078891.1578,117078891.1578 +600519.SH,20190618,917.0,0.2344,0.6548,0.65,32.722,30.3795,9.2855,15.643,14.8032,1.1995,,125619.78,125619.78,44961.3757,115193338.26,115193338.26 +600519.SH,20190617,911.6,0.2609,0.7288,0.66,32.5293,30.2006,9.2308,15.5509,14.716,1.2066,,125619.78,125619.78,44961.3757,114514991.448,114514991.448 +600519.SH,20190614,913.0,0.338,0.9443,0.88,32.5793,30.247,9.2449,15.5748,14.7386,1.2047,1.2047,125619.78,125619.78,44961.3757,114690859.14,114690859.14 +600519.SH,20190613,910.0,0.262,0.7321,0.68,32.4722,30.1476,9.2146,15.5236,14.6902,1.2087,1.2087,125619.78,125619.78,44961.3757,114313999.8,114313999.8 +600519.SH,20190612,906.7,0.3005,0.8396,0.77,32.3545,30.0382,9.1812,15.4673,14.6369,1.2131,1.2131,125619.78,125619.78,44961.3757,113899454.526,113899454.526 +600519.SH,20190611,910.89,0.6377,1.7817,2.02,32.504,30.1771,9.2236,15.5388,14.7045,1.2075,1.2075,125619.78,125619.78,44961.3757,114425801.4042,114425801.4042 +600519.SH,20190610,871.08,0.4418,1.2344,1.55,31.0834,28.8582,8.8205,14.8597,14.0619,1.2627,1.2627,125619.78,125619.78,44961.3757,109424877.9624,109424877.9624 +600519.SH,20190606,862.13,0.2769,0.7737,0.94,30.764,28.5617,8.7298,14.707,13.9174,1.2758,1.2758,125619.78,125619.78,44961.3757,108300580.9314,108300580.9314 +600519.SH,20190605,871.6,0.2712,0.7577,0.79,31.102,28.8754,8.8257,14.8685,14.0703,1.2619,1.2619,125619.78,125619.78,44961.3757,109490200.248,109490200.248 +600519.SH,20190604,875.3,0.3159,0.8827,0.79,31.234,28.998,8.8632,14.9317,14.13,1.2566,1.2566,125619.78,125619.78,44961.3757,109954993.434,109954993.434 +600519.SH,20190603,892.0,0.2745,0.7669,0.67,31.8299,29.5512,9.0323,15.2165,14.3996,1.2331,1.2331,125619.78,125619.78,44961.3757,112052843.76,112052843.76 +600519.SH,20190531,890.0,0.2849,0.7961,0.68,31.7585,29.485,9.0121,15.1824,14.3673,1.2358,1.2358,125619.78,125619.78,44961.3757,111801604.2,111801604.2 +600519.SH,20190530,905.3,0.3204,0.8952,0.71,32.3045,29.9919,9.167,15.4434,14.6143,1.215,1.215,125619.78,125619.78,44961.3757,113723586.834,113723586.834 +600519.SH,20190529,911.91,0.5226,1.4601,1.32,32.5404,30.2108,9.2339,15.5562,14.721,1.2061,1.2061,125619.78,125619.78,44961.3757,114553933.5798,114553933.5798 +600519.SH,20190528,888.0,0.5952,1.663,1.73,31.6872,29.4187,8.9918,15.1483,14.335,1.2386,1.2386,125619.78,125619.78,44961.3757,111550364.64,111550364.64 +600519.SH,20190527,879.0,0.3117,0.871,0.89,31.366,29.1206,8.9007,14.9948,14.1897,1.2513,1.2513,125619.78,125619.78,44961.3757,110419786.62,110419786.62 +600519.SH,20190524,878.5,0.3505,0.9794,0.97,31.3482,29.104,8.8956,14.9862,14.1817,1.252,1.252,125619.78,125619.78,44961.3757,110356976.73,110356976.73 +600519.SH,20190523,861.0,0.4622,1.2913,1.36,30.7237,28.5242,8.7184,14.6877,13.8992,1.2775,1.2775,125619.78,125619.78,44961.3757,108158630.58,108158630.58 +600519.SH,20190522,888.0,0.2551,0.7126,0.66,31.6872,29.4187,8.9918,15.1483,14.335,1.2386,1.2386,125619.78,125619.78,44961.3757,111550364.64,111550364.64 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+600519.SH,20190110,618.77,0.2312,0.646,0.8,28.7044,24.421,7.593,13.3515,11.4293,1.7776,1.7776,125619.78,125619.78,44961.3757,77729751.2706,77729751.2706 +600519.SH,20190109,616.12,0.3972,1.1097,1.28,28.5815,24.3164,7.5605,13.2943,11.3804,1.7852,1.7852,125619.78,125619.78,44961.3757,77396858.8536,77396858.8536 +600519.SH,20190108,604.79,0.2296,0.6414,0.63,28.0559,23.8692,7.4215,13.0499,11.1711,1.8186,1.8186,125619.78,125619.78,44961.3757,75973586.7462,75973586.7462 +600519.SH,20190107,605.49,0.2766,0.7729,0.78,28.0884,23.8969,7.4301,13.065,11.184,1.8165,1.8165,125619.78,125619.78,44961.3757,76061520.5922,76061520.5922 +600519.SH,20190104,602.0,0.3,0.8381,0.92,27.9265,23.7591,7.3873,12.9897,11.1196,1.8271,1.8271,125619.78,125619.78,44961.3757,75623107.56,75623107.56 +600519.SH,20190103,590.0,0.2466,0.689,0.77,27.3698,23.2855,7.24,12.7307,10.8979,1.8642,1.8642,125619.78,125619.78,44961.3757,74115670.2,74115670.2 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+600519.SH,20181221,567.41,0.2439,0.6815,1.26,26.3219,22.394,6.9628,12.2433,10.4806,1.1961,1.9385,125619.78,125619.78,44961.3757,71277919.3698,71277919.3698 +600519.SH,20181220,574.5,0.2145,0.5992,1.0,26.6508,22.6738,7.0498,12.3963,10.6116,1.1814,1.9145,125619.78,125619.78,44961.3757,72168563.61,72168563.61 +600519.SH,20181219,577.8,0.2047,0.572,1.0,26.8038,22.804,7.0903,12.4675,10.6726,1.1746,1.9036,125619.78,125619.78,44961.3757,72583108.884,72583108.884 +600519.SH,20181218,590.94,0.153,0.4275,0.76,27.4134,23.3226,7.2515,12.751,10.9153,1.1485,1.8613,125619.78,125619.78,44961.3757,74233752.7932,74233752.7932 +600519.SH,20181217,590.52,0.1982,0.5537,0.99,27.3939,23.3061,7.2464,12.742,10.9075,1.1493,1.8626,125619.78,125619.78,44961.3757,74180992.4856,74180992.4856 +600519.SH,20181214,592.96,0.1955,0.5461,0.96,27.5071,23.4024,7.2763,12.7946,10.9526,1.1446,1.8549,125619.78,125619.78,44961.3757,74487504.7488,74487504.7488 +600519.SH,20181213,601.75,0.3216,0.8985,1.61,27.9149,23.7493,7.3842,12.9843,11.1149,1.1279,1.8278,125619.78,125619.78,44961.3757,75591702.615,75591702.615 +600519.SH,20181212,589.0,0.1586,0.4431,0.68,27.3234,23.2461,7.2277,12.7092,10.8794,1.1523,1.8674,125619.78,125619.78,44961.3757,73990050.42,73990050.42 +600519.SH,20181211,582.99,0.1299,0.3629,0.5,27.0446,23.0089,7.154,12.5795,10.7684,1.1642,1.8867,125619.78,125619.78,44961.3757,73235075.5422,73235075.5422 +600519.SH,20181210,577.23,0.1962,0.548,0.56,26.7774,22.7815,7.0833,12.4552,10.662,1.1758,1.9055,125619.78,125619.78,44961.3757,72511505.6094,72511505.6094 +600519.SH,20181207,587.0,0.2137,0.597,0.55,27.2306,23.1671,7.2032,12.666,10.8425,1.1562,1.8738,125619.78,125619.78,44961.3757,73738810.86,73738810.86 +600519.SH,20181206,591.8,0.3006,0.8398,0.75,27.4533,23.3566,7.2621,12.7696,10.9312,1.1468,1.8586,125619.78,125619.78,44961.3757,74341785.804,74341785.804 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+600519.SH,20181127,548.1,0.1611,0.45,0.88,25.4261,21.6319,6.7258,11.8266,10.124,1.2383,2.0068,125619.78,125619.78,44961.3757,68852201.418,68852201.418 +600519.SH,20181126,552.11,0.1522,0.4253,0.73,25.6121,21.7901,6.7751,11.9132,10.198,1.2293,1.9922,125619.78,125619.78,44961.3757,69355936.7358,69355936.7358 +600519.SH,20181123,556.9,0.1602,0.4476,0.72,25.8343,21.9792,6.8338,12.0165,10.2865,1.2187,1.975,125619.78,125619.78,44961.3757,69957655.482,69957655.482 +600519.SH,20181122,564.5,0.1689,0.4718,0.71,26.1869,22.2791,6.9271,12.1805,10.4269,1.2023,1.9484,125619.78,125619.78,44961.3757,70912365.81,70912365.81 +600519.SH,20181121,564.7,0.2158,0.6029,0.82,26.1961,22.287,6.9295,12.1848,10.4306,1.2019,1.9478,125619.78,125619.78,44961.3757,70937489.766,70937489.766 +600519.SH,20181120,561.6,0.2145,0.5993,0.66,26.0523,22.1647,6.8915,12.1179,10.3733,1.2085,1.9585,125619.78,125619.78,44961.3757,70548068.448,70548068.448 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+600519.SH,20181109,562.0,0.1937,0.5413,0.43,26.0709,22.1805,6.8964,12.1266,10.3807,1.2077,1.9571,125619.78,125619.78,44961.3757,70598316.36,70598316.36 +600519.SH,20181108,570.34,0.2688,0.7509,0.49,26.4578,22.5096,6.9988,12.3065,10.5348,1.19,1.9285,125619.78,125619.78,44961.3757,71645985.3252,71645985.3252 +600519.SH,20181107,566.4,0.3034,0.8476,0.47,26.275,22.3541,6.9504,12.2215,10.462,1.1983,1.9419,125619.78,125619.78,44961.3757,71151043.392,71151043.392 +600519.SH,20181106,566.0,0.3627,1.0135,0.4,26.2565,22.3383,6.9455,12.2129,10.4546,1.1991,1.9433,125619.78,125619.78,44961.3757,71100795.48,71100795.48 +600519.SH,20181105,575.8,0.6012,1.6796,0.7,26.7111,22.7251,7.0658,12.4243,10.6356,1.1787,1.9102,125619.78,125619.78,44961.3757,72331869.324,72331869.324 +600519.SH,20181102,599.9,0.7097,1.983,0.88,27.8291,23.6763,7.3615,12.9444,11.0808,1.1314,1.8335,125619.78,125619.78,44961.3757,75359306.022,75359306.022 +600519.SH,20181101,563.0,0.781,2.182,1.02,26.1173,22.2199,6.9087,12.1482,10.3992,1.2055,1.9536,125619.78,125619.78,44961.3757,70723936.14,70723936.14 +600519.SH,20181031,548.9,0.7713,2.1548,1.05,25.4632,21.6634,6.7357,11.8439,10.1388,1.2365,2.0038,125619.78,125619.78,44961.3757,68952697.242,68952697.242 +600519.SH,20181030,524.0,1.6271,4.5461,2.7,24.3081,20.6807,6.4301,11.3066,9.6788,1.2952,2.099,125619.78,125619.78,44961.3757,65824764.72,65824764.72 +600519.SH,20181029,549.09,0.3907,1.0915,0.61,25.472,21.6709,6.738,11.848,10.1423,1.236,2.0031,125619.78,125619.78,44961.3757,68976565.0002,68976565.0002 +600519.SH,20181026,610.1,0.4404,1.2306,0.65,28.3022,24.259,8.2058,13.1645,11.3669,1.1124,1.8028,125619.78,125619.78,44961.3757,76640627.778,76640627.778 +600519.SH,20181025,619.0,0.6016,1.6807,0.94,28.7151,24.6129,8.3255,13.3565,11.5327,1.0964,1.7769,125619.78,125619.78,44961.3757,77758643.82,77758643.82 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+600519.SH,20180131,764.54,0.4808,1.3434,1.15,57.4466,39.6265,11.3852,24.7133,17.564,0.8877,0.8877,125619.78,125619.78,44961.3757,96041346.6012,96041346.6012 +600519.SH,20180130,742.08,0.4132,1.1546,0.99,55.759,38.4624,11.0508,23.9873,17.048,0.9146,0.9146,125619.78,125619.78,44961.3757,93219926.3424,93219926.3424 +600519.SH,20180129,736.32,0.5933,1.6578,1.47,55.3262,38.1639,10.965,23.8011,16.9157,0.9217,0.9217,125619.78,125619.78,44961.3757,92496356.4096,92496356.4096 +600519.SH,20180126,777.22,0.3501,0.9781,0.84,58.3994,40.2837,11.574,25.1232,17.8553,0.8732,0.8732,125619.78,125619.78,44961.3757,97634205.4116,97634205.4116 +600519.SH,20180125,769.16,0.3984,1.113,0.93,57.7938,39.866,11.454,24.8627,17.6701,0.8824,0.8824,125619.78,125619.78,44961.3757,96621709.9848,96621709.9848 +600519.SH,20180124,764.46,0.3447,0.963,0.68,57.4406,39.6224,11.384,24.7107,17.5622,0.8878,0.8878,125619.78,125619.78,44961.3757,96031297.0188,96031297.0188 +600519.SH,20180123,773.78,0.3944,1.102,0.74,58.1409,40.1054,11.5228,25.012,17.7763,0.8771,0.8771,125619.78,125619.78,44961.3757,97202073.3684,97202073.3684 +600519.SH,20180122,773.64,0.5344,1.493,1.05,58.1304,40.0982,11.5207,25.0075,17.7731,0.8773,0.8773,125619.78,125619.78,44961.3757,97184486.5992,97184486.5992 +600519.SH,20180119,750.18,0.4054,1.1327,0.81,56.3676,38.8822,11.1714,24.2491,17.2341,0.9047,0.9047,125619.78,125619.78,44961.3757,94237446.5604,94237446.5604 +600519.SH,20180118,750.74,0.4695,1.3118,0.97,56.4097,38.9113,11.1797,24.2672,17.247,0.904,0.904,125619.78,125619.78,44961.3757,94307793.6372,94307793.6372 +600519.SH,20180117,747.93,0.7221,2.0175,1.73,56.1986,38.7656,11.1379,24.1764,17.1824,0.9074,0.9074,125619.78,125619.78,44961.3757,93954802.0554,93954802.0554 +600519.SH,20180116,772.94,0.5208,1.4552,1.25,58.0778,40.0619,11.5103,24.9848,17.757,0.8781,0.8781,125619.78,125619.78,44961.3757,97096552.7532,97096552.7532 +600519.SH,20180115,785.37,0.4177,1.1671,1.0,59.0118,40.7062,11.6954,25.3866,18.0425,0.8642,0.8642,125619.78,125619.78,44961.3757,98658006.6186,98658006.6186 +600519.SH,20180112,788.42,0.3661,1.0228,0.9,59.2409,40.8642,11.7408,25.4852,18.1126,0.8608,0.8608,125619.78,125619.78,44961.3757,99041146.9476,99041146.9476 +600519.SH,20180111,774.81,0.4032,1.1267,0.92,58.2183,40.1588,11.5382,25.0453,17.7999,0.876,0.876,125619.78,125619.78,44961.3757,97331461.7418,97331461.7418 +600519.SH,20180110,785.71,0.3798,1.0612,0.85,59.0373,40.7238,11.7005,25.3976,18.0504,0.8638,0.8638,125619.78,125619.78,44961.3757,98700717.3438,98700717.3438 +600519.SH,20180109,782.52,0.5142,1.4366,1.21,58.7976,40.5584,11.653,25.2945,17.9771,0.8673,0.8673,125619.78,125619.78,44961.3757,98299990.2456,98299990.2456 +600519.SH,20180108,752.13,0.4156,1.1611,0.9,56.5141,38.9833,11.2004,24.3122,17.2789,0.9024,0.9024,125619.78,125619.78,44961.3757,94482405.1314,94482405.1314 +600519.SH,20180105,738.36,0.3183,0.8894,0.53,55.4795,38.2696,10.9954,23.8671,16.9626,0.9192,0.9192,125619.78,125619.78,44961.3757,92752620.7608,92752620.7608 +600519.SH,20180104,737.07,0.5748,1.6059,1.06,55.3826,38.2027,10.9761,23.8254,16.9329,0.9208,0.9208,125619.78,125619.78,44961.3757,92590571.2446,92590571.2446 +600519.SH,20180103,715.86,0.4141,1.157,0.81,53.7889,37.1034,10.6603,23.1398,16.4457,0.9481,0.9481,125619.78,125619.78,44961.3757,89926175.7108,89926175.7108 +600519.SH,20180102,703.85,0.3949,1.1034,0.81,52.8864,36.4809,10.4814,22.7515,16.1698,0.9643,0.9643,125619.78,125619.78,44961.3757,88417482.153,88417482.153 +600519.SH,20171229,697.49,0.6053,1.6912,1.47,52.4086,36.1513,10.3867,22.546,16.0236,0.8847,0.9731,125619.78,125619.78,44961.3757,87618540.3522,87618540.3522 +600519.SH,20171228,718.69,0.9882,2.7611,3.43,54.0015,37.2501,10.7024,23.2312,16.5107,0.8586,0.9444,125619.78,125619.78,44961.3757,90281679.6882,90281679.6882 +600519.SH,20171227,664.18,0.3003,0.839,0.91,49.9057,34.4248,9.8907,21.4692,15.2584,0.9291,1.0219,125619.78,125619.78,44961.3757,83434145.4804,83434145.4804 +600519.SH,20171226,680.81,0.2537,0.7088,0.73,51.1552,35.2868,10.1383,22.0068,15.6405,0.9064,0.9969,125619.78,125619.78,44961.3757,85523202.4218,85523202.4218 +600519.SH,20171225,688.12,0.2883,0.8055,0.82,51.7045,35.6656,10.2472,22.2431,15.8084,0.8968,0.9863,125619.78,125619.78,44961.3757,86441483.0136,86441483.0136 +600519.SH,20171222,682.92,0.2254,0.6298,0.63,51.3138,35.3961,10.1698,22.075,15.6889,0.9036,0.9938,125619.78,125619.78,44961.3757,85788260.1576,85788260.1576 +600519.SH,20171221,681.74,0.3716,1.0382,1.11,51.2251,35.335,10.1522,22.0369,15.6618,0.9052,0.9955,125619.78,125619.78,44961.3757,85640028.8172,85640028.8172 +600519.SH,20171220,684.91,0.5063,1.4146,1.62,51.4633,35.4993,10.1994,22.1393,15.7346,0.901,0.9909,125619.78,125619.78,44961.3757,86038243.5198,86038243.5198 +600519.SH,20171219,667.09,0.3508,0.9802,1.1,50.1243,34.5756,9.934,21.5633,15.3253,0.9251,1.0174,125619.78,125619.78,44961.3757,83799699.0402,83799699.0402 +600519.SH,20171218,665.77,0.3118,0.871,0.84,50.0252,34.5072,9.9144,21.5206,15.2949,0.9269,1.0194,125619.78,125619.78,44961.3757,83633880.9306,83633880.9306 +600519.SH,20171215,653.79,0.2568,0.7174,0.65,49.125,33.8863,9.736,21.1334,15.0197,0.9439,1.0381,125619.78,125619.78,44961.3757,82128955.9662,82128955.9662 +600519.SH,20171214,664.55,0.2545,0.711,0.6,49.9335,34.444,9.8962,21.4812,15.2669,0.9286,1.0213,125619.78,125619.78,44961.3757,83480624.799,83480624.799 +600519.SH,20171213,668.21,0.3861,1.0788,0.88,50.2085,34.6337,9.9507,21.5995,15.351,0.9235,1.0157,125619.78,125619.78,44961.3757,83940393.1938,83940393.1938 +600519.SH,20171212,651.32,0.3812,1.0651,0.87,48.9394,33.7583,9.6992,21.0535,14.963,0.9475,1.042,125619.78,125619.78,44961.3757,81818675.1096,81818675.1096 +600519.SH,20171211,650.99,0.5799,1.6203,1.42,48.9146,33.7412,9.6943,21.0429,14.9554,0.9479,1.0426,125619.78,125619.78,44961.3757,81777220.5822,81777220.5822 +600519.SH,20171208,627.28,0.3622,1.0121,0.88,47.1331,32.5123,9.3412,20.2765,14.4107,0.9838,1.082,125619.78,125619.78,44961.3757,78798775.5984,78798775.5984 +600519.SH,20171207,616.69,0.4062,1.135,1.04,46.3373,31.9634,9.1835,19.9341,14.1674,1.0007,1.1006,125619.78,125619.78,44961.3757,77468462.1282,77468462.1282 +600519.SH,20171206,625.01,0.4631,1.2939,1.24,46.9625,32.3946,9.3074,20.2031,14.3585,0.9873,1.0859,125619.78,125619.78,44961.3757,78513618.6978,78513618.6978 +600519.SH,20171205,632.96,0.3779,1.0557,0.93,47.5599,32.8067,9.4258,20.4601,14.5412,0.9749,1.0723,125619.78,125619.78,44961.3757,79512295.9488,79512295.9488 +600519.SH,20171204,637.79,0.432,1.207,1.02,47.9228,33.057,9.4977,20.6162,14.6521,0.9676,1.0641,125619.78,125619.78,44961.3757,80119039.4862,80119039.4862 +600519.SH,20171201,622.35,0.3757,1.0496,0.8,46.7626,32.2567,9.2678,20.1171,14.2974,0.9916,1.0905,125619.78,125619.78,44961.3757,78179470.083,78179470.083 +600519.SH,20171130,631.0,0.3027,0.8456,0.52,47.4126,32.7051,9.3966,20.3967,14.4962,0.978,1.0756,125619.78,125619.78,44961.3757,79266081.18,79266081.18 +600519.SH,20171129,638.12,0.3723,1.0401,0.52,47.9476,33.0741,9.5026,20.6269,14.6597,0.9671,1.0636,125619.78,125619.78,44961.3757,80160494.0136,80160494.0136 +600519.SH,20171128,648.23,0.5596,1.5634,0.74,48.7072,33.5981,9.6532,20.9537,14.892,0.952,1.047,125619.78,125619.78,44961.3757,81430509.9894,81430509.9894 +600519.SH,20171127,621.29,0.5059,1.4134,0.64,46.683,32.2018,9.252,20.0828,14.2731,0.9933,1.0924,125619.78,125619.78,44961.3757,78046313.1162,78046313.1162 +600519.SH,20171124,630.04,0.6093,1.7024,0.7,47.3405,32.6553,9.3823,20.3657,14.4741,0.9795,1.0772,125619.78,125619.78,44961.3757,79145486.1912,79145486.1912 +600519.SH,20171123,633.73,0.8725,2.4376,1.1,47.6177,32.8466,9.4372,20.485,14.5589,0.9738,1.071,125619.78,125619.78,44961.3757,79609023.1794,79609023.1794 +600519.SH,20171122,650.52,1.0229,2.858,1.55,48.8793,33.7168,9.6873,21.0277,14.9446,0.9486,1.0433,125619.78,125619.78,44961.3757,81718179.2856,81718179.2856 +600519.SH,20171121,677.25,0.7643,2.1355,1.32,50.8878,35.1022,10.0853,21.8917,15.5587,0.9112,1.0021,125619.78,125619.78,44961.3757,85075996.005,85075996.005 +600519.SH,20171120,679.15,0.703,1.964,1.36,51.0305,35.2007,10.1136,21.9531,15.6023,0.9086,0.9993,125619.78,125619.78,44961.3757,85314673.587,85314673.587 +600519.SH,20171117,690.25,0.986,2.7548,2.24,51.8646,35.776,10.2789,22.3119,15.8573,0.894,0.9833,125619.78,125619.78,44961.3757,86709053.145,86709053.145 +600519.SH,20171116,719.11,0.4833,1.3504,1.22,54.0331,37.2719,10.7087,23.2448,16.5203,0.8581,0.9438,125619.78,125619.78,44961.3757,90334439.9958,90334439.9958 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+600519.SH,20170320,386.41,0.2511,0.7016,1.19,31.3104,29.3403,7.0715,14.8626,13.4303,1.597,1.597,125619.78,125619.78,44961.3757,48540739.1898,48540739.1898 +600519.SH,20170317,378.48,0.2762,0.7718,1.25,30.6678,28.7382,6.9264,14.5576,13.1547,1.6305,1.6305,125619.78,125619.78,44961.3757,47544574.3344,47544574.3344 +600519.SH,20170316,374.77,0.1992,0.5565,0.91,30.3672,28.4565,6.8585,14.4149,13.0257,1.6466,1.6466,125619.78,125619.78,44961.3757,47078524.9506,47078524.9506 +600519.SH,20170315,374.68,0.2002,0.5595,0.98,30.3599,28.4497,6.8568,14.4115,13.0226,1.647,1.647,125619.78,125619.78,44961.3757,47067219.1704,47067219.1704 +600519.SH,20170314,369.5,0.1625,0.4541,0.66,29.9402,28.0563,6.762,14.2122,12.8425,1.6701,1.6701,125619.78,125619.78,44961.3757,46416508.71,46416508.71 +600519.SH,20170313,371.55,0.2203,0.6155,0.93,30.1063,28.212,6.7996,14.2911,12.9138,1.6609,1.6609,125619.78,125619.78,44961.3757,46674029.259,46674029.259 +600519.SH,20170310,369.85,0.326,0.9108,1.67,29.9685,28.0829,6.7684,14.2257,12.8547,1.6685,1.6685,125619.78,125619.78,44961.3757,46460475.633,46460475.633 +600519.SH,20170309,369.9,0.1863,0.5206,0.96,29.9726,28.0867,6.7694,14.2276,12.8564,1.6683,1.6683,125619.78,125619.78,44961.3757,46466756.622,46466756.622 +600519.SH,20170308,367.28,0.1277,0.3567,0.63,29.7603,27.8878,6.7214,14.1268,12.7654,1.6802,1.6802,125619.78,125619.78,44961.3757,46137632.7984,46137632.7984 +600519.SH,20170307,367.2,0.3685,1.0295,2.13,29.7538,27.8817,6.7199,14.1238,12.7626,1.6806,1.6806,125619.78,125619.78,44961.3757,46127583.216,46127583.216 +600519.SH,20170306,358.96,0.1817,0.5075,1.03,29.0861,27.256,6.5692,13.8068,12.4762,1.7191,1.7191,125619.78,125619.78,44961.3757,45092476.2288,45092476.2288 +600519.SH,20170303,356.54,0.1127,0.3148,0.62,28.89,27.0723,6.5249,13.7137,12.3921,1.7308,1.7308,125619.78,125619.78,44961.3757,44788476.3612,44788476.3612 +600519.SH,20170302,356.82,0.176,0.4916,0.95,28.9127,27.0935,6.53,13.7245,12.4018,1.7294,1.7294,125619.78,125619.78,44961.3757,44823649.8996,44823649.8996 +600519.SH,20170301,356.61,0.1747,0.4881,0.84,28.8957,27.0776,6.5261,13.7164,12.3945,1.7305,1.7305,125619.78,125619.78,44961.3757,44797269.7458,44797269.7458 +600519.SH,20170228,354.66,0.2187,0.611,1.05,28.7377,26.9295,6.4905,13.6414,12.3268,1.74,1.74,125619.78,125619.78,44961.3757,44552311.1748,44552311.1748 +600519.SH,20170227,357.2,0.2022,0.5649,0.76,28.9435,27.1224,6.5369,13.7391,12.415,1.7276,1.7276,125619.78,125619.78,44961.3757,44871385.416,44871385.416 +600519.SH,20170224,362.62,0.1408,0.3935,0.49,29.3827,27.5339,6.6361,13.9476,12.6034,1.7018,1.7018,125619.78,125619.78,44961.3757,45552244.6236,45552244.6236 +600519.SH,20170223,361.7,0.1857,0.5188,0.67,29.3081,27.4641,6.6193,13.9122,12.5714,1.7061,1.7061,125619.78,125619.78,44961.3757,45436674.426,45436674.426 +600519.SH,20170222,361.89,0.2956,0.8258,1.14,29.3235,27.4785,6.6228,13.9195,12.578,1.7052,1.7052,125619.78,125619.78,44961.3757,45460542.1842,45460542.1842 +600519.SH,20170221,358.74,0.2206,0.6162,0.86,29.0683,27.2393,6.5651,13.7984,12.4686,1.7202,1.7202,125619.78,125619.78,44961.3757,45064839.8772,45064839.8772 +600519.SH,20170220,361.29,0.4924,1.3757,2.02,29.2749,27.433,6.6118,13.8964,12.5572,1.708,1.708,125619.78,125619.78,44961.3757,45385170.3162,45385170.3162 +600519.SH,20170217,350.56,0.2317,0.6473,0.98,28.4055,26.6182,6.4154,13.4837,12.1843,1.7603,1.7603,125619.78,125619.78,44961.3757,44037270.0768,44037270.0768 +600519.SH,20170216,348.09,0.1404,0.3924,0.57,28.2053,26.4307,6.3702,13.3887,12.0984,1.7728,1.7728,125619.78,125619.78,44961.3757,43726989.2202,43726989.2202 +600519.SH,20170215,348.53,0.209,0.584,0.9,28.241,26.4641,6.3783,13.4056,12.1137,1.7706,1.7706,125619.78,125619.78,44961.3757,43782261.9234,43782261.9234 +600519.SH,20170214,350.21,0.2114,0.5907,0.94,28.3771,26.5916,6.409,13.4703,12.1721,1.7621,1.7621,125619.78,125619.78,44961.3757,43993303.1538,43993303.1538 +600519.SH,20170213,349.75,0.4266,1.1919,2.61,28.3398,26.5567,6.4006,13.4526,12.1561,1.7644,1.7644,125619.78,125619.78,44961.3757,43935518.055,43935518.055 +600519.SH,20170210,345.08,0.1915,0.5351,1.21,27.9614,26.2021,6.3151,13.2729,11.9938,1.7883,1.7883,125619.78,125619.78,44961.3757,43348873.6824,43348873.6824 +600519.SH,20170209,347.61,0.1857,0.5188,1.02,28.1664,26.3942,6.3614,13.3703,12.0817,1.7753,1.7753,125619.78,125619.78,44961.3757,43666691.7258,43666691.7258 +600519.SH,20170208,344.21,0.152,0.4246,0.81,27.8909,26.1361,6.2992,13.2395,11.9635,1.7928,1.7928,125619.78,125619.78,44961.3757,43239584.4738,43239584.4738 +600519.SH,20170207,343.58,0.1633,0.4564,0.83,27.8399,26.0882,6.2877,13.2152,11.9417,1.7961,1.7961,125619.78,125619.78,44961.3757,43160444.0124,43160444.0124 +600519.SH,20170206,346.85,0.1248,0.3488,0.56,28.1049,26.3365,6.3475,13.341,12.0553,1.7792,1.7792,125619.78,125619.78,44961.3757,43571220.693,43571220.693 +600519.SH,20170203,346.85,0.1667,0.4657,0.74,28.1049,26.3365,6.3475,13.341,12.0553,1.7792,1.7792,125619.78,125619.78,44961.3757,43571220.693,43571220.693 +600519.SH,20170126,344.42,0.3011,0.8413,1.43,27.908,26.152,6.3031,13.2476,11.9708,1.7917,1.7917,125619.78,125619.78,44961.3757,43265964.6276,43265964.6276 +600519.SH,20170125,347.63,0.183,0.5113,0.74,28.1681,26.3957,6.3618,13.371,12.0824,1.7752,1.7752,125619.78,125619.78,44961.3757,43669204.1214,43669204.1214 +600519.SH,20170124,350.31,0.2143,0.5986,0.82,28.3852,26.5992,6.4109,13.4741,12.1756,1.7616,1.7616,125619.78,125619.78,44961.3757,44005865.1318,44005865.1318 +600519.SH,20170123,351.22,0.2594,0.7246,0.97,28.459,26.6683,6.4275,13.5091,12.2072,1.757,1.757,125619.78,125619.78,44961.3757,44120179.1316,44120179.1316 +600519.SH,20170120,354.99,0.1699,0.4747,0.65,28.7644,26.9546,6.4965,13.6541,12.3382,1.7384,1.7384,125619.78,125619.78,44961.3757,44593765.7022,44593765.7022 +600519.SH,20170119,354.72,0.2271,0.6344,0.93,28.7426,26.9341,6.4916,13.6437,12.3288,1.7397,1.7397,125619.78,125619.78,44961.3757,44559848.3616,44559848.3616 +600519.SH,20170118,355.08,0.3662,1.0232,1.75,28.7717,26.9614,6.4981,13.6576,12.3414,1.7379,1.7379,125619.78,125619.78,44961.3757,44605071.4824,44605071.4824 +600519.SH,20170117,349.13,0.2801,0.7826,1.37,28.2896,26.5096,6.3893,13.4287,12.1345,1.7675,1.7675,125619.78,125619.78,44961.3757,43857633.7914,43857633.7914 +600519.SH,20170116,341.47,0.2934,0.8197,1.45,27.6689,25.928,6.2491,13.1341,11.8683,1.8072,1.8072,125619.78,125619.78,44961.3757,42895386.2766,42895386.2766 +600519.SH,20170113,344.87,0.1455,0.4066,0.52,27.9444,26.1862,6.3113,13.2649,11.9865,1.7894,1.7894,125619.78,125619.78,44961.3757,43322493.5286,43322493.5286 +600519.SH,20170112,347.05,0.1415,0.3954,0.44,28.1211,26.3517,6.3512,13.3487,12.0623,1.7781,1.7781,125619.78,125619.78,44961.3757,43596344.649,43596344.649 +600519.SH,20170111,345.45,0.1879,0.5249,0.49,27.9914,26.2302,6.3219,13.2872,12.0066,1.7864,1.7864,125619.78,125619.78,44961.3757,43395353.001,43395353.001 +600519.SH,20170110,349.0,0.2526,0.7057,0.69,28.2791,26.4998,6.3869,13.4237,12.13,1.7682,1.7682,125619.78,125619.78,44961.3757,43841303.22,43841303.22 +600519.SH,20170109,348.51,0.2818,0.7875,0.77,28.2394,26.4626,6.3779,13.4049,12.113,1.7707,1.7707,125619.78,125619.78,44961.3757,43779749.5278,43779749.5278 +600519.SH,20170106,350.76,0.5421,1.5145,1.85,28.4217,26.6334,6.4191,13.4914,12.1912,1.7593,1.7593,125619.78,125619.78,44961.3757,44062394.0328,44062394.0328 +600519.SH,20170105,346.74,0.332,0.9276,1.3,28.0959,26.3282,6.3455,13.3368,12.0515,1.7797,1.7797,125619.78,125619.78,44961.3757,43557402.5172,43557402.5172 +600519.SH,20170104,351.91,0.5195,1.4514,2.85,28.5149,26.7207,6.4401,13.5356,12.2312,1.7536,1.7536,125619.78,125619.78,44961.3757,44206856.7798,44206856.7798 +600519.SH,20170103,334.56,0.1653,0.4618,0.87,27.109,25.4033,6.1226,12.8683,11.6281,1.8445,1.8445,125619.78,125619.78,44961.3757,42027353.5968,42027353.5968 +600519.SH,20161230,334.15,0.2761,0.7715,1.49,27.0758,25.3722,6.1151,12.8525,11.6139,1.19,1.8468,125619.78,125619.78,44961.3757,41975849.487,41975849.487 +600519.SH,20161229,327.31,0.169,0.4721,0.97,26.5216,24.8528,5.9899,12.5894,11.3762,1.2149,1.8854,125619.78,125619.78,44961.3757,41116610.1918,41116610.1918 +600519.SH,20161228,323.72,0.1423,0.3976,0.77,26.2307,24.5802,5.9242,12.4514,11.2514,1.2283,1.9063,125619.78,125619.78,44961.3757,40665635.1816,40665635.1816 +600519.SH,20161227,326.16,0.1597,0.4462,0.79,26.4284,24.7655,5.9689,12.5452,11.3362,1.2191,1.892,125619.78,125619.78,44961.3757,40972147.4448,40972147.4448 +600519.SH,20161226,324.48,0.207,0.5783,0.99,26.2922,24.638,5.9382,12.4806,11.2778,1.2255,1.9018,125619.78,125619.78,44961.3757,40761106.2144,40761106.2144 +600519.SH,20161223,320.03,0.2475,0.6916,1.24,25.9317,24.3001,5.8567,12.3094,11.1231,1.2425,1.9283,125619.78,125619.78,44961.3757,40202098.1934,40202098.1934 +600519.SH,20161222,325.2,0.1168,0.3265,0.49,26.3506,24.6926,5.9513,12.5083,11.3028,1.2227,1.8976,125619.78,125619.78,44961.3757,40851552.456,40851552.456 +600519.SH,20161221,328.66,0.1967,0.5496,0.78,26.6309,24.9553,6.0146,12.6414,11.4231,1.2099,1.8776,125619.78,125619.78,44961.3757,41286196.8948,41286196.8948 +600519.SH,20161220,326.48,0.2454,0.6857,0.91,26.4543,24.7898,5.9748,12.5575,11.3473,1.218,1.8902,125619.78,125619.78,44961.3757,41012345.7744,41012345.7744 +600519.SH,20161219,325.96,0.2426,0.6777,0.81,26.4122,24.7503,5.9652,12.5375,11.3292,1.2199,1.8932,125619.78,125619.78,44961.3757,40947023.4888,40947023.4888 +600519.SH,20161216,327.58,0.1994,0.5572,0.63,26.5434,24.8733,5.9949,12.5998,11.3855,1.2139,1.8838,125619.78,125619.78,44961.3757,41150527.5324,41150527.5324 +600519.SH,20161215,328.05,0.3121,0.8719,0.92,26.5815,24.909,6.0035,12.6179,11.4019,1.2121,1.8811,125619.78,125619.78,44961.3757,41209568.829,41209568.829 +600519.SH,20161214,332.27,0.255,0.7124,0.78,26.9235,25.2295,6.0807,12.7802,11.5486,1.1967,1.8572,125619.78,125619.78,44961.3757,41739684.3006,41739684.3006 +600519.SH,20161213,333.01,0.3326,0.9292,1.03,26.9834,25.2856,6.0943,12.8087,11.5743,1.1941,1.8531,125619.78,125619.78,44961.3757,41832642.9378,41832642.9378 +600519.SH,20161212,326.86,0.4007,1.1195,1.29,26.4851,24.8187,5.9817,12.5721,11.3605,1.2165,1.888,125619.78,125619.78,44961.3757,41060081.2908,41060081.2908 +600519.SH,20161209,337.76,0.2746,0.7672,0.9,27.3683,25.6463,6.1812,12.9914,11.7394,1.1773,1.827,125619.78,125619.78,44961.3757,42429336.8928,42429336.8928 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+600519.SH,20160127,199.93,0.2375,0.6637,1.23,16.3619,15.6178,4.1965,7.9544,7.6096,1.9889,1.9889,125619.78,125619.78,44961.3757,25115162.6154,25115162.6154 +600519.SH,20160126,199.01,0.1774,0.4956,0.7,16.2866,15.5459,4.1772,7.9178,7.5746,1.9981,1.9981,125619.78,125619.78,44961.3757,24999592.4178,24999592.4178 +600519.SH,20160125,202.77,0.1095,0.3058,0.4,16.5943,15.8397,4.2561,8.0674,7.7177,1.961,1.961,125619.78,125619.78,44961.3757,25471922.7906,25471922.7906 +600519.SH,20160122,202.74,0.181,0.5056,0.65,16.5918,15.8373,4.2555,8.0662,7.7166,1.9613,1.9613,125619.78,125619.78,44961.3757,25468154.1972,25468154.1972 +600519.SH,20160121,200.26,0.1738,0.4856,0.58,16.3889,15.6436,4.2034,7.9675,7.6222,1.9856,1.9856,125619.78,125619.78,44961.3757,25156617.1428,25156617.1428 +600519.SH,20160120,202.32,0.3261,0.9112,1.16,16.5575,15.8045,4.2467,8.0495,7.7006,1.9654,1.9654,125619.78,125619.78,44961.3757,25415393.8896,25415393.8896 +600519.SH,20160119,210.24,0.4705,1.3147,1.87,17.2056,16.4232,4.4129,8.3646,8.002,1.8913,1.8913,125619.78,125619.78,44961.3757,26410302.5472,26410302.5472 +600519.SH,20160118,199.43,0.2179,0.6088,0.85,16.321,15.5787,4.186,7.9345,7.5906,1.9939,1.9939,125619.78,125619.78,44961.3757,25052352.7254,25052352.7254 +600519.SH,20160115,199.0,0.2124,0.5934,0.75,16.2858,15.5452,4.177,7.9174,7.5742,1.9982,1.9982,125619.78,125619.78,44961.3757,24998336.22,24998336.22 +600519.SH,20160114,204.82,0.2768,0.7735,1.15,16.7621,15.9998,4.2991,8.149,7.7958,1.9414,1.9414,125619.78,125619.78,44961.3757,25729443.3396,25729443.3396 +600519.SH,20160113,199.78,0.2325,0.6495,1.0,16.3496,15.6061,4.1933,7.9484,7.6039,1.9904,1.9904,125619.78,125619.78,44961.3757,25096319.6484,25096319.6484 +600519.SH,20160112,196.79,0.3207,0.896,1.46,16.1049,15.3725,4.1306,7.8295,7.4901,2.0206,2.0206,125619.78,125619.78,44961.3757,24720716.5062,24720716.5062 +600519.SH,20160111,199.86,0.2364,0.6606,1.18,16.3561,15.6123,4.195,7.9516,7.607,1.9896,1.9896,125619.78,125619.78,44961.3757,25106369.2308,25106369.2308 +600519.SH,20160108,204.63,0.3543,0.99,2.21,16.7465,15.9849,4.2951,8.1414,7.7885,1.9432,1.9432,125619.78,125619.78,44961.3757,25705575.5814,25705575.5814 +600519.SH,20160107,202.23,0.0649,0.1812,0.36,16.5501,15.7975,4.2448,8.0459,7.6972,1.9663,1.9663,125619.78,125619.78,44961.3757,25404088.1094,25404088.1094 +600519.SH,20160106,212.18,0.1891,0.5285,1.13,17.3644,16.5747,4.4536,8.4418,8.0759,1.8741,1.8741,125619.78,125619.78,44961.3757,26654004.9204,26654004.9204 +600519.SH,20160105,212.82,0.254,0.7097,1.62,17.4168,16.6247,4.467,8.4672,8.1002,1.8684,1.8684,125619.78,125619.78,44961.3757,26734401.5796,26734401.5796 +600519.SH,20160104,210.02,0.1381,0.3859,0.94,17.1876,16.406,4.4083,8.3558,7.9937,1.8933,1.8933,125619.78,125619.78,44961.3757,26382666.1956,26382666.1956 +600519.SH,20151231,218.19,0.1566,0.4376,1.11,17.8562,17.0442,4.5798,8.6809,8.3046,1.6568,1.8224,125619.78,125619.78,44961.3757,27408979.7982,27408979.7982 +600519.SH,20151230,218.86,0.1604,0.4481,1.11,17.9111,17.0965,4.5938,8.7075,8.3301,1.6517,1.8169,125619.78,125619.78,44961.3757,27493145.0508,27493145.0508 +600519.SH,20151229,219.83,0.1256,0.3508,0.76,17.9905,17.1723,4.6142,8.7461,8.3671,1.6444,1.8088,125619.78,125619.78,44961.3757,27614996.2374,27614996.2374 +600519.SH,20151228,219.12,0.2037,0.5693,0.93,17.9323,17.1169,4.5993,8.7179,8.34,1.6497,1.8147,125619.78,125619.78,44961.3757,27525806.1936,27525806.1936 +600519.SH,20151225,224.5,0.0919,0.2567,0.37,18.3726,17.5371,4.7122,8.9319,8.5448,1.6102,1.7712,125619.78,125619.78,44961.3757,28201640.61,28201640.61 +600519.SH,20151224,224.78,0.124,0.3465,0.48,18.3956,17.559,4.7181,8.9431,8.5555,1.6082,1.769,125619.78,125619.78,44961.3757,28236814.1484,28236814.1484 +600519.SH,20151223,223.0,0.1781,0.4976,0.7,18.2499,17.4199,4.6807,8.8723,8.4877,1.621,1.7831,125619.78,125619.78,44961.3757,28013210.94,28013210.94 +600519.SH,20151222,225.03,0.2261,0.6317,0.96,18.416,17.5785,4.7233,8.953,8.565,1.6064,1.767,125619.78,125619.78,44961.3757,28268219.0934,28268219.0934 +600519.SH,20151221,227.03,0.4728,1.321,2.73,18.5797,17.7348,4.7653,9.0326,8.6411,1.5922,1.7515,125619.78,125619.78,44961.3757,28519458.6534,28519458.6534 +600519.SH,20151218,216.88,0.2266,0.633,1.53,17.749,16.9419,4.5523,8.6288,8.2548,1.6668,1.8334,125619.78,125619.78,44961.3757,27244417.8864,27244417.8864 +600519.SH,20151217,215.86,0.1931,0.5394,1.47,17.6656,16.8622,4.5309,8.5882,8.216,1.6746,1.8421,125619.78,125619.78,44961.3757,27116285.7108,27116285.7108 +600519.SH,20151216,213.91,0.1604,0.448,1.31,17.506,16.7099,4.4899,8.5106,8.1417,1.6899,1.8589,125619.78,125619.78,44961.3757,26871327.1398,26871327.1398 +600519.SH,20151215,214.51,0.1201,0.3356,0.95,17.5551,16.7567,4.5025,8.5345,8.1646,1.6852,1.8537,125619.78,125619.78,44961.3757,26946699.0078,26946699.0078 +600519.SH,20151214,214.1,0.1648,0.4604,1.33,17.5215,16.7247,4.4939,8.5182,8.149,1.6884,1.8572,125619.78,125619.78,44961.3757,26895194.898,26895194.898 +600519.SH,20151211,211.41,0.1038,0.2899,0.76,17.3014,16.5146,4.4374,8.4111,8.0466,1.7099,1.8809,125619.78,125619.78,44961.3757,26557277.6898,26557277.6898 +600519.SH,20151210,212.96,0.1097,0.3066,0.73,17.4282,16.6357,4.47,8.4728,8.1056,1.6974,1.8672,125619.78,125619.78,44961.3757,26751988.3488,26751988.3488 +600519.SH,20151209,214.47,0.1124,0.314,0.55,17.5518,16.7536,4.5017,8.5329,8.163,1.6855,1.854,125619.78,125619.78,44961.3757,26941674.2166,26941674.2166 +600519.SH,20151208,211.94,0.1385,0.3869,0.67,17.3448,16.556,4.4486,8.4322,8.0668,1.7056,1.8762,125619.78,125619.78,44961.3757,26623856.1732,26623856.1732 +600519.SH,20151207,214.51,0.1533,0.4283,0.67,17.5551,16.7567,4.5025,8.5345,8.1646,1.6852,1.8537,125619.78,125619.78,44961.3757,26946699.0078,26946699.0078 +600519.SH,20151204,215.31,0.166,0.4637,0.75,17.6205,16.8192,4.5193,8.5663,8.195,1.6789,1.8468,125619.78,125619.78,44961.3757,27047194.8318,27047194.8318 +600519.SH,20151203,220.2,0.1782,0.4979,0.83,18.0207,17.2012,4.6219,8.7609,8.3811,1.6416,1.8058,125619.78,125619.78,44961.3757,27661475.556,27661475.556 +600519.SH,20151202,221.58,0.3812,1.0652,2.15,18.1337,17.309,4.6509,8.8158,8.4337,1.6314,1.7945,125619.78,125619.78,44961.3757,27834830.8524,27834830.8524 +600519.SH,20151201,213.8,0.1503,0.4199,0.83,17.497,16.7013,4.4876,8.5062,8.1375,1.6908,1.8599,125619.78,125619.78,44961.3757,26857508.964,26857508.964 +600519.SH,20151130,214.31,0.2662,0.7438,1.66,17.5387,16.7411,4.4983,8.5265,8.157,1.6868,1.8554,125619.78,125619.78,44961.3757,26921575.0518,26921575.0518 +600519.SH,20151127,207.74,0.1291,0.3608,0.76,17.001,16.2279,4.3604,8.2651,7.9069,1.7401,1.9141,125619.78,125619.78,44961.3757,26096253.0972,26096253.0972 +600519.SH,20151126,212.84,0.1497,0.4182,0.91,17.4184,16.6263,4.4675,8.468,8.101,1.6984,1.8682,125619.78,125619.78,44961.3757,26736913.9752,26736913.9752 +600519.SH,20151125,212.98,0.193,0.5393,1.23,17.4299,16.6372,4.4704,8.4736,8.1063,1.6973,1.867,125619.78,125619.78,44961.3757,26754500.7444,26754500.7444 +600519.SH,20151124,211.69,0.1629,0.4553,1.02,17.3243,16.5364,4.4433,8.4223,8.0572,1.7076,1.8784,125619.78,125619.78,44961.3757,26592451.2282,26592451.2282 +600519.SH,20151123,212.62,0.1671,0.467,1.02,17.4004,16.6091,4.4628,8.4593,8.0926,1.7002,1.8702,125619.78,125619.78,44961.3757,26709277.6236,26709277.6236 +600519.SH,20151120,213.72,0.1773,0.4954,1.02,17.4904,16.695,4.4859,8.503,8.1345,1.6914,1.8605,125619.78,125619.78,44961.3757,26847459.3816,26847459.3816 +600519.SH,20151119,215.03,0.1215,0.3395,0.69,17.5976,16.7974,4.5134,8.5552,8.1844,1.6811,1.8492,125619.78,125619.78,44961.3757,27012021.2934,27012021.2934 +600519.SH,20151118,214.66,0.157,0.4387,0.86,17.5674,16.7685,4.5057,8.5404,8.1703,1.684,1.8524,125619.78,125619.78,44961.3757,26965541.9748,26965541.9748 +600519.SH,20151117,214.36,0.175,0.489,0.91,17.5428,16.745,4.4994,8.5285,8.1589,1.6864,1.855,125619.78,125619.78,44961.3757,26927856.0408,26927856.0408 +600519.SH,20151116,213.78,0.1904,0.5319,0.87,17.4953,16.6997,4.4872,8.5054,8.1368,1.6909,1.86,125619.78,125619.78,44961.3757,26854996.5684,26854996.5684 +600519.SH,20151113,215.11,0.2261,0.6316,1.08,17.6042,16.8036,4.5151,8.5583,8.1874,1.6805,1.8485,125619.78,125619.78,44961.3757,27022070.8758,27022070.8758 +600519.SH,20151112,220.01,0.1288,0.3599,0.49,18.0052,17.1864,4.618,8.7533,8.3739,1.6431,1.8074,125619.78,125619.78,44961.3757,27637607.7978,27637607.7978 +600519.SH,20151111,220.15,0.1896,0.5297,0.69,18.0166,17.1973,4.6209,8.7589,8.3792,1.642,1.8062,125619.78,125619.78,44961.3757,27655194.567,27655194.567 +600519.SH,20151110,222.38,0.2287,0.639,0.86,18.1991,17.3715,4.6677,8.8476,8.4641,1.6255,1.7881,125619.78,125619.78,44961.3757,27935326.6764,27935326.6764 +600519.SH,20151109,220.83,0.3226,0.9014,1.44,18.0723,17.2504,4.6352,8.7859,8.4051,1.6369,1.8006,125619.78,125619.78,44961.3757,27740616.0174,27740616.0174 +600519.SH,20151106,218.42,0.1727,0.4825,0.82,17.8751,17.0622,4.5846,8.69,8.3134,1.655,1.8205,125619.78,125619.78,44961.3757,27437872.3476,27437872.3476 +600519.SH,20151105,216.56,0.3979,1.1117,2.63,17.7228,16.9169,4.5455,8.616,8.2426,1.6692,1.8361,125619.78,125619.78,44961.3757,27204219.5568,27204219.5568 +600519.SH,20151104,214.98,0.2453,0.6852,1.91,17.5935,16.7935,4.5124,8.5532,8.1825,1.6815,1.8496,125619.78,125619.78,44961.3757,27005740.3044,27005740.3044 +600519.SH,20151103,209.71,0.1845,0.5154,1.45,17.1623,16.3818,4.4018,8.3435,7.9819,1.7237,1.8961,125619.78,125619.78,44961.3757,26343724.0638,26343724.0638 +600519.SH,20151102,212.56,0.1218,0.3403,0.71,17.3955,16.6044,4.4616,8.4569,8.0904,1.7006,1.8707,125619.78,125619.78,44961.3757,26701740.4368,26701740.4368 +600519.SH,20151030,213.86,0.0976,0.2726,0.4,17.5019,16.706,4.4889,8.5086,8.1398,1.6903,1.8593,125619.78,125619.78,44961.3757,26865046.1508,26865046.1508 +600519.SH,20151029,213.0,0.1071,0.2992,0.41,17.4315,16.6388,4.4708,8.4744,8.1071,1.6971,1.8668,125619.78,125619.78,44961.3757,26757013.14,26757013.14 +600519.SH,20151028,212.44,0.1318,0.3683,0.49,17.3857,16.595,4.4591,8.4521,8.0858,1.7016,1.8718,125619.78,125619.78,44961.3757,26686666.0632,26686666.0632 +600519.SH,20151027,215.25,0.1797,0.502,0.7,17.6156,16.8145,4.518,8.5639,8.1927,1.6794,1.8473,125619.78,125619.78,44961.3757,27039657.645,27039657.645 +600519.SH,20151026,217.73,0.3451,0.9641,1.51,17.8186,17.0083,4.5701,8.6626,8.2871,1.6603,1.8263,125619.78,125619.78,44961.3757,27351194.6994,27351194.6994 +600519.SH,20151023,210.98,0.448,1.2517,2.65,17.2662,16.481,4.4284,8.394,8.0302,1.7134,1.8847,125619.78,125619.78,44961.3757,26503261.1844,26503261.1844 +600519.SH,20151022,202.53,0.1888,0.5328,1.2,16.5747,15.893,4.5182,8.0578,7.7024,1.7849,1.9633,125619.78,125619.78,44521.3758,25441774.0434,25441774.0434 +600519.SH,20151021,200.31,0.1779,0.502,1.22,16.393,15.7188,4.4687,7.9695,7.618,1.8046,1.9851,125619.78,125619.78,44521.3758,25162898.1318,25162898.1318 +600519.SH,20151020,201.97,0.1177,0.3321,0.8,16.5288,15.849,4.5057,8.0356,7.6811,1.7898,1.9688,125619.78,125619.78,44521.3758,25371426.9666,25371426.9666 +600519.SH,20151019,202.72,0.2079,0.5867,1.13,16.5902,15.9079,4.5225,8.0654,7.7096,1.7832,1.9615,125619.78,125619.78,44521.3758,25465641.8016,25465641.8016 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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 +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 diff --git a/data/CN/600519.SH/raw_market_metrics_shareholder_number.csv b/data/CN/600519.SH/raw_market_metrics_shareholder_number.csv new file mode 100644 index 0000000..00b8b43 --- /dev/null +++ b/data/CN/600519.SH/raw_market_metrics_shareholder_number.csv @@ -0,0 +1,2 @@ +ts_code,ann_date,end_date,holder_num +600519.SH,20251030,20250930,238512 diff --git a/data/CN/600519.SH/raw_market_metrics_stock_basic.csv b/data/CN/600519.SH/raw_market_metrics_stock_basic.csv new file mode 100644 index 0000000..99213f9 --- /dev/null +++ b/data/CN/600519.SH/raw_market_metrics_stock_basic.csv @@ -0,0 +1,2 @@ +name,list_date +贵州茅台,20010827 diff --git a/data/CN/600519.SH/report.html b/data/CN/600519.SH/report.html index 8c5611f..2ddbbdf 100644 --- a/data/CN/600519.SH/report.html +++ b/data/CN/600519.SH/report.html @@ -1,10 +1,13 @@ Financial Report

Financial Report

@@ -22,26 +25,41 @@ 代码简称日期上市日期PEPB股息率(%) -600519.SH贵州茅台2025-12-142001-08-2720.636.923.64% +600519.SH贵州茅台2025-12-172001-08-2720.816.983.60%
- - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + - + @@ -55,6 +73,21 @@ + + + + + + + + + + + + + + + @@ -69,6 +102,21 @@ + + + + + + + + + + + + + + + @@ -83,6 +131,21 @@ + + + + + + + + + + + + + + + @@ -97,6 +160,21 @@ + + + + + + + + + + + + + + + @@ -111,6 +189,21 @@ + + + + + + + + + + + + + + + @@ -125,6 +218,21 @@ + + + + + + + + + + + + + + + @@ -138,7 +246,22 @@ - + + + + + + + + + + + + + + + + @@ -153,6 +276,21 @@ + + + + + + + + + + + + + + + @@ -166,7 +304,22 @@ - + + + + + + + + + + + + + + + + @@ -181,6 +334,21 @@ + + + + + + + + + + + + + + + @@ -195,6 +363,21 @@ + + + + + + + + + + + + + + + @@ -209,6 +392,21 @@ + + + + + + + + + + + + + + + @@ -223,6 +421,21 @@ + + + + + + + + + + + + + + + @@ -237,6 +450,21 @@ + + + + + + + + + + + + + + + @@ -251,6 +479,21 @@ + + + + + + + + + + + + + + + @@ -265,8 +508,23 @@ + + + + + + + + + + + + + + + - + @@ -280,6 +538,21 @@ + + + + + + + + + + + + + + + @@ -294,6 +567,21 @@ + + + + + + + + + + + + + + + @@ -308,6 +596,21 @@ + + + + + + + + + + + + + + + @@ -322,6 +625,21 @@ + + + + + + + + + + + + + + + @@ -336,6 +654,21 @@ + + + + + + + + + + + + + + + @@ -350,8 +683,23 @@ + + + + + + + + + + + + + + + - + @@ -365,6 +713,21 @@ + + + + + + + + + + + + + + + @@ -379,6 +742,21 @@ + + + + + + + + + + + + + + + @@ -393,6 +771,21 @@ + + + + + + + + + + + + + + + @@ -407,6 +800,21 @@ + + + + + + + + + + + + + + + @@ -421,6 +829,21 @@ + + + + + + + + + + + + + + + @@ -435,6 +858,21 @@ + + + + + + + + + + + + + + + @@ -449,6 +887,21 @@ + + + + + + + + + + + + + + + @@ -463,6 +916,21 @@ + + + + + + + + + + + + + + + @@ -477,6 +945,21 @@ + + + + + + + + + + + + + + + @@ -491,6 +974,21 @@ + + + + + + + + + + + + + + + @@ -505,6 +1003,21 @@ + + + + + + + + + + + + + + + @@ -519,6 +1032,21 @@ + + + + + + + + + + + + + + + @@ -533,6 +1061,21 @@ + + + + + + + + + + + + + + + @@ -547,8 +1090,23 @@ + + + + + + + + + + + + + + + - + @@ -562,6 +1120,21 @@ + + + + + + + + + + + + + + + @@ -576,6 +1149,21 @@ + + + + + + + + + + + + + + + @@ -590,6 +1178,21 @@ + + + + + + + + + + + + + + + @@ -604,6 +1207,21 @@ + + + + + + + + + + + + + + + @@ -618,8 +1236,23 @@ + + + + + + + + + + + + + + + - + @@ -633,6 +1266,21 @@ + + + + + + + + + + + + + + + @@ -647,6 +1295,21 @@ + + + + + + + + + + + + + + + @@ -661,6 +1324,21 @@ + + + + + + + + + + + + + + + @@ -675,8 +1353,23 @@ + + + + + + + + + + + + + + + - + @@ -690,6 +1383,21 @@ + + + + + + + + + + + + + + + @@ -704,6 +1412,21 @@ + + + + + + + + + + + + + + + @@ -718,6 +1441,21 @@ + + + + + + + + + + + + + + + @@ -732,19 +1470,49 @@ + + + + + + + + + + + + + + + - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + +
指标2025 Q320242023202220212020201920182017201620152025-09-302024-12-312023-12-312022-12-312021-12-312020-12-312019-12-312018-12-312017-12-312016-12-312015-12-312014-12-312013-12-312012-12-312011-12-312010-12-312009-12-312008-12-312007-12-312006-12-312005-12-312004-12-312003-12-312002-12-312001-12-311999-12-31
主要指标
主要指标
ROE 25.14%29.61% 22.94% 24.25%28.73%35.51%38.97%35.06%27.45%29.81%33.79%--------
ROA20.12% 14.80% 17.96%23.30%27.30%29.57%25.11%19.74%21.81%24.12%--------
ROCE/ROIC42.51% 33.26% 34.55%40.22%50.12%53.90%47.95%37.96%41.07%47.01%--------
毛利率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610.63 401.55 334.47322.17310.71264.55184.02116.3396.7082.4272.3749.0339.3130.1024.0118.3516.188.91
收入增速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270.79 167.18 155.03153.50151.37133.0887.6350.5143.1237.9928.3115.4511.198.215.873.773.282.16
净利润增速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221.53 374.51 174.36126.33126.55119.21101.4962.0142.2452.4717.4321.1316.94-----
资本开支11.25 10.19 20.6144.3154.0642.1221.8517.3213.5710.117.727.375.41-----
自由现金流210.28 364.32 153.7582.0172.4977.0979.6444.7028.6742.379.7113.7511.53-----
分红- - ----------------
总资产1,346.10 1,129.35 863.01658.73554.54449.98349.01255.88197.70157.54--------
净资产914.52 728.94 639.26534.30426.22341.50249.91183.99144.66112.45--------
商誉- - ----------------
费用指标
费用指标
销售费用率 3.42%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- - ----------------
其他费用率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25.13% 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
资产占比
现金占比 16.98%65.28% 59.20% 42.64%42.07%45.42%49.03%52.30%50.37%49.28%51.38%--------
库存占比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- - 0.00%0.01%0.00%0.04%0.01%0.00%0.11%0.22%--------
预付款占比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0.74% 0.92% 1.02%1.07%0.51%0.77%0.49%0.91%0.70%0.77%--------
预收款占比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0.00% 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%--------
运营资产占比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0.00% 0.00% 0.00%0.09%0.00%0.00%0.00%0.00%0.00%0.00%--------
周转能力
周转能力
存货周转天数 1,8231,355 2,207 2,5902,3381,9691,7251,6911,9321,6091,421--------
应收款周转天数- - 00000001--------
应付款周转天数60 111 126110476140805355--------
固定资产周转率4.01 2.78 2.933.113.653.893.392.783.053.76--------
总资产周转率0.45 0.36 0.390.490.560.590.530.450.490.52--------
人均效率
人均效率
员工人数 -- - ----------------
人均创收(万)- - ----------------
人均创利(万)- - ----------------
人均薪酬(万)- - ----------------
市场表现
市场表现
股价 1443.99697.49 334.15 218.19189.62128.38209.02193.30183.92169.82108.70230.0087.8345.6236.6425.4025.4638.55-
市值(亿)8,762 4,198 2,7412,1651,3332,1702,0071,7361,6031,0262,171828.94215.28144.0976.8370.0296.38-
PE52.41 27.08 17.8614.3110.0224.7639.7340.2542.1836.24140.5274.1126.2424.5620.3921.3338.38-
PB10.39 6.12 4.584.443.466.948.809.9111.509.6931.5815.514.573.732.402.4717.16-
股东户数 220,658201,582150,025145,225175,267114,26789,06288,93263,98053,43746,869207,894161,640167,516153,535108,66296,747107,65484,98452,04839,90943,30373,25549,87045,69455,08542,78027,55824,97323,5729,33311,77732,34936,99846,194-
\ No newline at end of file diff --git a/data/CN/600519.SH/report.md b/data/CN/600519.SH/report.md index eba3bb5..543acff 100644 --- a/data/CN/600519.SH/report.md +++ b/data/CN/600519.SH/report.md @@ -1,87 +1,87 @@ # 贵州茅台 (600519.SH) - Financial Report -*Report generated on: 2025-12-14* +*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 | 20.63 | 6.92 | 3.64% | +| 600519.SH | 贵州茅台 | 2001-08-27 | 20.81 | 6.98 | 3.60% | ## 主要指标 -| 指标 | 2025 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| ROE | 25.14% | 36.99% | 34.65% | 31.75% | 27.68% | 28.95% | 30.30% | 31.20% | 29.61% | 22.94% | 24.25% | -| ROA | 21.21% | 28.84% | 27.41% | 24.66% | 20.56% | 21.88% | 22.51% | 22.02% | 20.12% | 14.80% | 17.96% | -| ROCE/ROIC | 34.56% | 50.68% | 47.24% | 43.76% | 38.92% | 41.16% | 43.43% | 45.50% | 42.51% | 33.26% | 34.55% | -| 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% | -| 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% | -| 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 | -| 收入增速 | 6.32% | 15.66% | 18.04% | 16.53% | 11.71% | 10.29% | 15.10% | 26.43% | 52.07% | 20.06% | - | -| 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 | -| 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% | - | -| 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 | -| 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 | -| 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 | -| 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 | -| 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 | -| 商誉(亿) | - | - | - | - | - | - | - | - | - | - | - | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 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% | -| 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% | -| 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% | -| 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% | -| 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% | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 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% | -| 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% | -| 应收款占比 | 0.01% | 0.01% | 0.02% | 0.01% | - | - | - | - | - | - | 0.00% | -| 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% | -| 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% | -| 长期投资占比 | - | - | - | - | - | - | - | - | - | - | - | -| 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% | -| 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% | -| 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% | -| 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% | -| 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% | -| 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% | -| 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% | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 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 | -| 应收款周转天数 | 0 | 0 | 0 | 0 | - | - | - | - | - | - | 0 | -| 应付款周转天数 | 92 | 93 | 95 | 87 | 81 | 60 | 74 | 65 | 60 | 111 | 126 | -| 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 | -| 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 | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 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 | - | - | - | - | - | - | - | - | - | +| 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 Q3 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | -|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| -| 股价 | 1443.99 | 1524.00 | 1726.00 | 1727.00 | 2050.00 | 1998.00 | 1183.00 | 590.01 | 697.49 | 334.15 | 218.19 | -| 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 | -| PE | 20.97 | 25.62 | 34.57 | 41.35 | 55.15 | 60.91 | 42.21 | 27.37 | 52.41 | 27.08 | 17.86 | -| PB | 7.77 | 9.22 | 11.19 | 12.11 | 14.77 | 16.91 | 11.86 | 7.24 | 10.39 | 6.12 | 4.58 | -| 股东户数 | 220,658 | 201,582 | 150,025 | 145,225 | 175,267 | 114,267 | 89,062 | 88,932 | 63,980 | 53,437 | 46,869 | +| 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 | - | diff --git a/data/US/AAPL/balance_sheet.csv b/data/US/AAPL/balance_sheet.csv index 140175d..58edcd9 100644 --- a/data/US/AAPL/balance_sheet.csv +++ b/data/US/AAPL/balance_sheet.csv @@ -1,11 +1,21 @@ -date,reportedCurrency,totalAssets,current_assets,cashAndCashEquivalentsAtCarryingValue,cashAndShortTermInvestments,inventory,currentNetReceivables,totalNonCurrentAssets,propertyPlantEquipment,accumulatedDepreciationAmortizationPPE,intangibleAssets,intangibleAssetsExcludingGoodwill,goodwill,investments,longTermInvestments,shortTermInvestments,otherCurrentAssets,otherNonCurrentAssets,total_liabilities,current_liabilities,currentAccountsPayable,deferredRevenue,currentDebt,shortTermDebt,totalNonCurrentLiabilities,capitalLeaseObligations,longTermDebt,currentLongTermDebt,longTermDebtNoncurrent,shortLongTermDebtTotal,otherCurrentLiabilities,otherNonCurrentLiabilities,total_equity,treasuryStock,retainedEarnings,commonStock,commonStockSharesOutstanding 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b/data/US/AAPL/raw_income_statement_annual.csv @@ -0,0 +1,21 @@ +fiscalDateEnding,reportedCurrency,grossProfit,totalRevenue,costOfRevenue,costofGoodsAndServicesSold,operatingIncome,sellingGeneralAndAdministrative,researchAndDevelopment,operatingExpenses,investmentIncomeNet,netInterestIncome,interestIncome,interestExpense,nonInterestIncome,otherNonOperatingIncome,depreciation,depreciationAndAmortization,incomeBeforeTax,incomeTaxExpense,interestAndDebtExpense,netIncomeFromContinuingOperations,comprehensiveIncomeNetOfTax,ebit,ebitda,netIncome +2025-09-30,USD,195201000000,416161000000,220960000000,220960000000,133050000000,27601000000,34550000000,62151000000,None,None,None,None,None,None,None,11698000000,132729000000,20719000000,None,112010000000,None,132729000000,144427000000,112010000000 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+2012-09-30,USD,68662000000,156508000000,87846000000,87846000000,55241000000,9040000000,3381000000,13421000000,None,None,None,522000000,None,522000000,None,3277000000,55763000000,14030000000,None,41733000000,None,55763000000,59040000000,41733000000 +2011-09-30,USD,43818000000,108249000000,64431000000,64431000000,33790000000,7599000000,2429000000,10028000000,None,None,None,415000000,None,415000000,None,1814000000,34205000000,8283000000,None,25922000000,None,34205000000,36019000000,25922000000 +2010-09-30,USD,25684000000,65225000000,39541000000,39541000000,18385000000,5517000000,1782000000,7299000000,None,None,None,155000000,None,155000000,None,1027000000,18540000000,4527000000,None,14013000000,None,18385000000,19412000000,14013000000 +2009-09-30,USD,17222000000,42905000000,25683000000,25683000000,11740000000,4149000000,1333000000,5482000000,None,None,None,326000000,None,326000000,None,734000000,12066000000,3831000000,None,8235000000,None,11740000000,12474000000,8235000000 +2008-09-30,USD,11145000000,32479000000,21334000000,21334000000,6275000000,3761000000,1109000000,4870000000,None,None,None,620000000,None,None,None,409000000,6895000000,2061000000,None,None,None,6895000000,7304000000,4834000000 +2007-09-30,USD,8154000000,24006000000,15852000000,15852000000,4409000000,2963000000,782000000,3745000000,None,None,None,599000000,None,None,None,317000000,5008000000,1512000000,None,None,None,4407000000,4724000000,3495000000 +2006-09-30,USD,5598000000,19315000000,13717000000,13717000000,2453000000,2433000000,712000000,3145000000,None,None,None,365000000,None,None,None,225000000,2818000000,829000000,None,None,None,2453000000,2678000000,1989000000 diff --git a/data/US/AAPL/raw_market_metrics_global_quote.csv b/data/US/AAPL/raw_market_metrics_global_quote.csv new file mode 100644 index 0000000..5f9908d --- /dev/null +++ b/data/US/AAPL/raw_market_metrics_global_quote.csv @@ -0,0 +1,2 @@ +01. symbol,02. open,03. high,04. low,05. price,06. volume,07. latest trading day,08. previous close,09. change,10. change percent +AAPL,275.0100,276.1600,271.6400,271.8400,49260104,2025-12-17,274.6100,-2.7700,-1.0087% diff --git a/data/US/AAPL/raw_market_metrics_overview.csv b/data/US/AAPL/raw_market_metrics_overview.csv new file mode 100644 index 0000000..a0295e8 --- /dev/null +++ b/data/US/AAPL/raw_market_metrics_overview.csv @@ -0,0 +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 +AAPL,Common Stock,Apple Inc,"Apple Inc. is a preeminent American multinational technology company renowned for its innovative consumer electronics, software, and online services. With a staggering revenue of $274.5 billion in 2020, it stands as the world's most valuable publicly traded company, significantly influencing the global technology sector. Its flagship products—iPhone, iPad, and Mac—continue to define consumer expectations and set industry benchmarks, securing its position as a leader in both the smartphone and personal computer markets. As a key player among the ""Big Five"" technology firms, Apple remains at the forefront of technological advancements and consumer engagement strategies.",320193,NASDAQ,USD,USA,TECHNOLOGY,CONSUMER ELECTRONICS,"ONE APPLE PARK WAY, CUPERTINO, CA, UNITED STATES, 95014",https://www.apple.com,September,2025-09-30,4075319198000,144748003000,36.76,2.774,4.991,1.02,0.0037,7.47,27.84,0.269,0.317,0.23,1.714,416161006000,195201008000,7.47,0.912,0.079,286.58,5,24,15,1,3,36.76,33.11,9.79,54.93,9.84,28.29,1.107,288.62,168.63,268.18,229.18,14776353000,14750642000,1.697,64.404,2025-11-13,2025-11-10 diff --git a/data/US/AAPL/report.html b/data/US/AAPL/report.html new file mode 100644 index 0000000..10892dd --- /dev/null +++ b/data/US/AAPL/report.html @@ -0,0 +1,1212 @@ +Financial Report +

Financial Report

+ + + + + + + +
代码简称日期财报日期PEPB股息率(%)
AAPLApple Inc2025-12-18September36.7654.930.37%
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
指标2025-09-302024-09-302023-09-302022-09-302021-09-302020-09-302019-09-302018-09-302017-09-302016-09-302015-09-302014-09-302013-09-302012-09-302011-09-302010-09-302009-09-302008-09-302007-09-302006-09-30
主要指标
ROE151.91%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%
ROA31.18%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/ROIC180.01%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%
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4,161.613,910.353,832.853,943.283,658.172,745.152,601.742,655.952,292.342,156.392,337.151,827.951,709.101,565.081,082.49652.25429.05324.79240.06193.15
收入增速6.43%2.02%-2.80%7.79%33.26%5.51%-2.04%15.86%6.30%-7.73%27.86%6.95%9.20%44.58%65.96%52.02%32.10%35.30%24.29%-
净利润1,120.10937.36969.95998.03946.80574.11552.56595.31483.51456.87533.94395.10370.37417.33259.22140.1382.3548.3434.9519.89
净利润增速19.50%-3.36%-2.81%5.41%64.92%3.90%-7.18%23.12%5.83%-14.43%35.14%6.68%-11.25%60.99%84.99%70.16%70.36%38.31%75.72%-
经营净现金流1,114.821,182.541,105.431,221.511,040.38806.74693.91774.34635.98658.24812.66597.13536.66508.56375.29185.95101.5995.9654.7022.20
资本开支127.1594.47109.59107.08110.8573.09104.95133.13124.51127.34112.4795.7181.6582.9542.6020.0511.4410.917.356.57
自由现金流987.671,088.07995.841,114.43929.53733.65588.96641.21511.47530.90700.19501.42455.01425.61332.69165.9090.1585.0547.3515.63
分红154.21152.34150.25148.41144.67140.81141.19137.12127.69121.50115.61111.26105.6424.88------
总资产3,592.413,649.803,525.833,527.553,510.023,238.883,385.163,657.253,753.193,216.862,904.792,318.392,070.001,760.641,163.71751.83538.51395.72253.47172.05
净资产737.33569.50621.46506.72630.90653.39904.881,071.471,340.471,282.491,193.551,115.471,235.491,182.10766.15477.91278.32210.30145.3299.84
商誉--------57.1754.1451.1646.1615.7711.358.967.412.062.070.380.38
费用指标
销售费用率--------------------
管理费用率--------------------
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%
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%
资产占比
现金占比10.00%8.20%8.50%6.70%9.95%11.74%14.43%7.09%5.41%6.37%7.27%5.97%6.89%6.10%8.43%14.98%9.77%30.01%36.90%37.15%
库存占比1.59%2.00%1.80%1.40%1.87%1.25%1.21%1.08%1.29%0.66%0.81%0.91%0.85%0.45%0.67%1.40%0.84%1.29%1.37%1.57%
应收款占比20.31%18.15%8.37%7.99%7.49%4.98%6.77%6.34%0.56%0.16%0.14%1.83%1.05%3.15%4.61%7.33%6.24%6.12%15.90%16.54%
预付款占比4.06%3.91%4.17%6.02%4.02%3.48%3.65%3.30%3.71%2.57%3.28%4.23%3.32%3.67%3.89%4.58%12.78%14.71%3.93%2.73%
固定资产占比16.99%15.32%12.40%11.94%11.24%11.35%11.04%11.29%9.00%8.40%7.74%8.90%8.02%8.78%6.68%6.34%5.49%6.20%7.23%7.45%
长期投资占比21.64%25.06%28.52%34.25%36.43%31.15%31.12%46.70%51.88%52.98%56.48%56.14%51.31%52.32%47.79%33.77%19.55%---
商誉占比--------1.52%1.68%1.76%1.99%0.76%0.64%0.77%0.99%0.38%0.52%0.15%0.22%
其他资产占比25.41%27.35%36.25%31.70%29.00%36.05%31.78%24.19%26.63%27.17%22.52%20.03%27.79%24.88%27.15%30.61%44.94%41.15%34.54%34.35%
应付款占比19.45%18.89%17.76%18.18%15.60%13.06%13.66%15.28%13.07%11.59%12.22%13.02%10.81%12.03%12.57%15.98%10.40%13.95%19.61%19.70%
预收款占比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%0.00%0.00%
短期借款占比11.32%11.89%8.97%11.97%8.90%8.50%9.59%11.35%9.84%7.22%4.65%17.94%3.71%3.58%4.82%3.28%3.62%6.34%7.12%8.81%
长期借款占比21.80%23.49%27.02%28.05%31.08%30.46%27.12%25.63%25.90%23.45%18.41%12.50%8.19%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
运营资产占比6.51%5.17%-3.43%-2.77%-2.22%-3.35%-2.02%-4.56%-7.50%-8.19%-7.98%-6.06%-5.58%-4.76%-3.40%-2.67%9.47%8.17%1.58%1.13%
有息负债率33.12%35.38%35.99%40.02%39.98%38.97%36.72%36.98%35.74%30.66%23.06%30.45%11.90%3.58%4.82%3.28%3.62%6.34%7.12%8.81%
周转能力
存货周转天数912108118981256663496877
应收款周转天数63612826262132313008412183028276153
应付款周转天数11511910610493911041241261039298768782110799411490
固定资产周转率6.826.998.779.369.287.476.966.436.797.9810.408.8610.3010.1313.9213.6814.5213.2313.1015.08
总资产周转率1.161.071.091.121.040.850.770.730.610.670.800.790.830.890.930.870.800.820.951.12
人均效率
员工人数--------------------
人均创收(万)--------------------
人均创利(万)--------------------
人均薪酬(万)--------------------
市场表现
股价0.00-------------------
市值(亿)40,753-------------------
PE36.76-------------------
PB54.93-------------------
股东户数0-------------------
\ No newline at end of file diff --git a/data/US/AAPL/report.md b/data/US/AAPL/report.md index 37c9b85..56a9355 100644 --- a/data/US/AAPL/report.md +++ b/data/US/AAPL/report.md @@ -1,4 +1,88 @@ -# Financial Analysis Report: US AAPL +# Apple Inc (AAPL) - Financial Report +*Report generated on: 2025-12-18* + +| 代码 | 简称 | 财报日期 | PE | PB | 股息率(%) | +|:---|:---|:---|:---|:---|:---| +| AAPL | Apple Inc | September | 36.76 | 54.93 | 0.37% | -
yearrevenuenet_incomeROENetMarginDebtToEquityCurrentRatio
2025416,161,000,000112,010,000,000151.91%26.92%3.870.89
2024391,035,000,00093,736,000,000164.59%23.97%5.410.87
2023383,285,000,00096,995,000,000156.08%25.31%4.670.99
2022394,328,000,00099,803,000,000196.96%25.31%5.960.88
2021365,817,000,00094,680,000,000150.07%25.88%4.561.07
2020274,515,000,00057,411,000,00087.87%20.91%3.961.36
2019260,174,000,00055,256,000,00061.06%21.24%2.741.54
2018265,595,000,00059,531,000,00055.56%22.41%2.411.12
2017229,234,000,00048,351,000,00036.07%21.09%1.801.28
2016215,639,000,00045,687,000,00035.62%21.19%1.511.35
\ No newline at end of file +## 主要指标 +| 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 | +|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| +| 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% | +| 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 | +| 收入增速 | 6.43% | 2.02% | -2.80% | 7.79% | 33.26% | 5.51% | -2.04% | 15.86% | 6.30% | -7.73% | 27.86% | 6.95% | 9.20% | 44.58% | 65.96% | 52.02% | 32.10% | 35.30% | 24.29% | - | +| 净利润(亿) | 1,120.10 | 937.36 | 969.95 | 998.03 | 946.80 | 574.11 | 552.56 | 595.31 | 483.51 | 456.87 | 533.94 | 395.10 | 370.37 | 417.33 | 259.22 | 140.13 | 82.35 | 48.34 | 34.95 | 19.89 | +| 净利润增速 | 19.50% | -3.36% | -2.81% | 5.41% | 64.92% | 3.90% | -7.18% | 23.12% | 5.83% | -14.43% | 35.14% | 6.68% | -11.25% | 60.99% | 84.99% | 70.16% | 70.36% | 38.31% | 75.72% | - | +| 经营净现金流(亿) | 1,114.82 | 1,182.54 | 1,105.43 | 1,221.51 | 1,040.38 | 806.74 | 693.91 | 774.34 | 635.98 | 658.24 | 812.66 | 597.13 | 536.66 | 508.56 | 375.29 | 185.95 | 101.59 | 95.96 | 54.70 | 22.20 | +| 资本开支(亿) | 127.15 | 94.47 | 109.59 | 107.08 | 110.85 | 73.09 | 104.95 | 133.13 | 124.51 | 127.34 | 112.47 | 95.71 | 81.65 | 82.95 | 42.60 | 20.05 | 11.44 | 10.91 | 7.35 | 6.57 | +| 自由现金流(亿) | 987.67 | 1,088.07 | 995.84 | 1,114.43 | 929.53 | 733.65 | 588.96 | 641.21 | 511.47 | 530.90 | 700.19 | 501.42 | 455.01 | 425.61 | 332.69 | 165.90 | 90.15 | 85.05 | 47.35 | 15.63 | +| 分红(亿) | 154.21 | 152.34 | 150.25 | 148.41 | 144.67 | 140.81 | 141.19 | 137.12 | 127.69 | 121.50 | 115.61 | 111.26 | 105.64 | 24.88 | - | - | - | - | - | - | +| 总资产(亿) | 3,592.41 | 3,649.80 | 3,525.83 | 3,527.55 | 3,510.02 | 3,238.88 | 3,385.16 | 3,657.25 | 3,753.19 | 3,216.86 | 2,904.79 | 2,318.39 | 2,070.00 | 1,760.64 | 1,163.71 | 751.83 | 538.51 | 395.72 | 253.47 | 172.05 | +| 净资产(亿) | 737.33 | 569.50 | 621.46 | 506.72 | 630.90 | 653.39 | 904.88 | 1,071.47 | 1,340.47 | 1,282.49 | 1,193.55 | 1,115.47 | 1,235.49 | 1,182.10 | 766.15 | 477.91 | 278.32 | 210.30 | 145.32 | 99.84 | +| 商誉(亿) | - | - | - | - | - | - | - | - | 57.17 | 54.14 | 51.16 | 46.16 | 15.77 | 11.35 | 8.96 | 7.41 | 2.06 | 2.07 | 0.38 | 0.38 | + + +## 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% | +| 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% | + + +## 资产占比 +| 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 | +|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| +| 现金占比 | 10.00% | 8.20% | 8.50% | 6.70% | 9.95% | 11.74% | 14.43% | 7.09% | 5.41% | 6.37% | 7.27% | 5.97% | 6.89% | 6.10% | 8.43% | 14.98% | 9.77% | 30.01% | 36.90% | 37.15% | +| 库存占比 | 1.59% | 2.00% | 1.80% | 1.40% | 1.87% | 1.25% | 1.21% | 1.08% | 1.29% | 0.66% | 0.81% | 0.91% | 0.85% | 0.45% | 0.67% | 1.40% | 0.84% | 1.29% | 1.37% | 1.57% | +| 应收款占比 | 20.31% | 18.15% | 8.37% | 7.99% | 7.49% | 4.98% | 6.77% | 6.34% | 0.56% | 0.16% | 0.14% | 1.83% | 1.05% | 3.15% | 4.61% | 7.33% | 6.24% | 6.12% | 15.90% | 16.54% | +| 预付款占比 | 4.06% | 3.91% | 4.17% | 6.02% | 4.02% | 3.48% | 3.65% | 3.30% | 3.71% | 2.57% | 3.28% | 4.23% | 3.32% | 3.67% | 3.89% | 4.58% | 12.78% | 14.71% | 3.93% | 2.73% | +| 固定资产占比 | 16.99% | 15.32% | 12.40% | 11.94% | 11.24% | 11.35% | 11.04% | 11.29% | 9.00% | 8.40% | 7.74% | 8.90% | 8.02% | 8.78% | 6.68% | 6.34% | 5.49% | 6.20% | 7.23% | 7.45% | +| 长期投资占比 | 21.64% | 25.06% | 28.52% | 34.25% | 36.43% | 31.15% | 31.12% | 46.70% | 51.88% | 52.98% | 56.48% | 56.14% | 51.31% | 52.32% | 47.79% | 33.77% | 19.55% | - | - | - | +| 商誉占比 | - | - | - | - | - | - | - | - | 1.52% | 1.68% | 1.76% | 1.99% | 0.76% | 0.64% | 0.77% | 0.99% | 0.38% | 0.52% | 0.15% | 0.22% | +| 其他资产占比 | 25.41% | 27.35% | 36.25% | 31.70% | 29.00% | 36.05% | 31.78% | 24.19% | 26.63% | 27.17% | 22.52% | 20.03% | 27.79% | 24.88% | 27.15% | 30.61% | 44.94% | 41.15% | 34.54% | 34.35% | +| 应付款占比 | 19.45% | 18.89% | 17.76% | 18.18% | 15.60% | 13.06% | 13.66% | 15.28% | 13.07% | 11.59% | 12.22% | 13.02% | 10.81% | 12.03% | 12.57% | 15.98% | 10.40% | 13.95% | 19.61% | 19.70% | +| 预收款占比 | 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% | 0.00% | 0.00% | +| 短期借款占比 | 11.32% | 11.89% | 8.97% | 11.97% | 8.90% | 8.50% | 9.59% | 11.35% | 9.84% | 7.22% | 4.65% | 17.94% | 3.71% | 3.58% | 4.82% | 3.28% | 3.62% | 6.34% | 7.12% | 8.81% | +| 长期借款占比 | 21.80% | 23.49% | 27.02% | 28.05% | 31.08% | 30.46% | 27.12% | 25.63% | 25.90% | 23.45% | 18.41% | 12.50% | 8.19% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | +| 运营资产占比 | 6.51% | 5.17% | -3.43% | -2.77% | -2.22% | -3.35% | -2.02% | -4.56% | -7.50% | -8.19% | -7.98% | -6.06% | -5.58% | -4.76% | -3.40% | -2.67% | 9.47% | 8.17% | 1.58% | 1.13% | +| 有息负债率 | 33.12% | 35.38% | 35.99% | 40.02% | 39.98% | 38.97% | 36.72% | 36.98% | 35.74% | 30.66% | 23.06% | 30.45% | 11.90% | 3.58% | 4.82% | 3.28% | 3.62% | 6.34% | 7.12% | 8.81% | + + +## 周转能力 +| 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 | +|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| +| 存货周转天数 | 9 | 12 | 10 | 8 | 11 | 8 | 9 | 8 | 12 | 5 | 6 | 6 | 6 | 3 | 4 | 9 | 6 | 8 | 7 | 7 | +| 应收款周转天数 | 63 | 61 | 28 | 26 | 26 | 21 | 32 | 31 | 3 | 0 | 0 | 8 | 4 | 12 | 18 | 30 | 28 | 27 | 61 | 53 | +| 应付款周转天数 | 115 | 119 | 106 | 104 | 93 | 91 | 104 | 124 | 126 | 103 | 92 | 98 | 76 | 87 | 82 | 110 | 79 | 94 | 114 | 90 | +| 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 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + diff --git a/data/US/DQ/balance_sheet.csv b/data/US/DQ/balance_sheet.csv new file mode 100644 index 0000000..05d7cae --- /dev/null +++ b/data/US/DQ/balance_sheet.csv @@ -0,0 +1,19 @@ +date,reportedCurrency,total_assets,current_assets,cash,cashAndShortTermInvestments,inventory,receivables,totalNonCurrentAssets,fixed_assets,accumulatedDepreciationAmortizationPPE,intangibleAssets,intangibleAssetsExcludingGoodwill,goodwill,investments,lt_invest,shortTermInvestments,prepayment,other_assets,total_liabilities,current_liabilities,accounts_payable,adv_receipts,currentDebt,short_term_debt,totalNonCurrentLiabilities,capitalLeaseObligations,long_term_debt,short_term_debt_part,longTermDebtNoncurrent,shortLongTermDebtTotal,otherCurrentLiabilities,otherNonCurrentLiabilities,total_equity,treasuryStock,retainedEarnings,commonStock,commonStockSharesOutstanding +2024-12-31,USD,6418243000.0,2631547000.0,1006536000.0,1006536000,149939000.0,55171000.0,3786696000,3499210000.0,None,152869000,152869000,,None,27636000.0,1096829000,323072000.0,,560379000,521237000,26448000.0,,None,6822000.0,39142000,None,,6822000.0,None,6822000,450775000,None,4361193000,None,2983173000,42000,66159000 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+date,reportedCurrency,ocf,paymentsForOperatingActivities,proceedsFromOperatingActivities,changeInOperatingLiabilities,changeInOperatingAssets,depreciation,capex,changeInReceivables,changeInInventory,profitLoss,cashflowFromInvestment,cashflowFromFinancing,proceedsFromRepaymentsOfShortTermDebt,paymentsForRepurchaseOfCommonStock,paymentsForRepurchaseOfEquity,paymentsForRepurchaseOfPreferredStock,dividends,dividendPayoutCommonStock,dividendPayoutPreferredStock,proceedsFromIssuanceOfCommonStock,proceedsFromIssuanceOfLongTermDebtAndCapitalSecuritiesNet,proceedsFromIssuanceOfPreferredStock,proceedsFromRepurchaseOfEquity,proceedsFromSaleOfTreasuryStock,changeInCashAndCashEquivalents,changeInExchangeRate,netIncome +2024-12-31,USD,-435641398.0,None,None,None,None,206461504.0,359007981,None,-59042599,None,-1481522727,-47379752,None,None,None,None,,None,None,None,None,None,-12658345,None,None,None,-345388152 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+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,, diff --git a/data/US/DQ/report.html b/data/US/DQ/report.html new file mode 100644 index 0000000..ada3eb3 --- /dev/null +++ b/data/US/DQ/report.html @@ -0,0 +1,993 @@ + + + + DQ Financial Report + + + +

Daqo New Energy Corp ADR (DQ) - Financial Report

+

Report generated on: 2025-12-18

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代码简称财报日期PEPB股息率(%)
DQDaqo New Energy Corp ADRDecember0.000.500.00%
+

主要指标

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
指标2024-12-312023-12-312022-12-312021-12-312020-12-312019-12-312018-12-312017-12-312016-12-312015-12-312014-12-312013-12-312012-12-312011-12-312010-12-312009-12-312008-12-312007-12-31
ROE-7.92%9.02%37.85%34.98%16.84%5.21%7.26%23.70%16.10%5.39%8.05%-51.66%-55.38%10.71%26.03%58.74%97.66%100.00%
ROA-5.38%5.78%23.96%22.62%10.43%2.46%4.46%12.40%6.62%1.96%2.34%-11.63%-13.71%3.79%10.63%5.89%6.15%-
ROCE/ROIC-8.88%16.15%62.71%45.62%16.62%4.03%10.66%18.55%8.14%5.04%5.84%-24.49%-17.16%8.91%22.86%15.24%23.47%100.00%
毛利率-20.69%39.89%73.95%65.36%34.63%22.89%32.53%40.66%35.11%20.63%23.70%-23.95%-43.10%33.66%43.76%37.72%65.60%-
净利润率-33.55%18.61%39.49%45.05%19.12%8.44%12.64%26.31%18.98%7.12%9.12%-65.09%-128.87%13.03%28.26%27.73%38.19%-
收入(亿)10.2923.0846.0816.796.763.503.023.532.291.821.831.090.872.562.431.110.56-
收入增速-55.41%-49.92%174.50%148.49%93.03%16.04%-14.53%54.02%25.85%-0.29%67.50%25.49%-66.05%5.42%118.26%97.26%--
净利润(亿)-3.454.3018.207.561.290.300.380.930.430.130.17-0.71-1.120.330.690.310.22-0.00
净利润增速-180.37%-76.40%140.64%485.33%337.58%-22.56%-58.94%113.46%235.71%-22.18%123.47%36.62%-435.89%-51.40%122.38%43.25%45375.81%-
经营净现金流(亿)-4.3616.1624.676.392.101.030.961.430.990.660.46-0.17-0.100.451.26-0.031.03-
资本开支(亿)3.5911.8712.515.081.182.801.430.680.670.810.770.331.062.530.581.211.390.00
自由现金流(亿)-7.954.2912.161.310.91-1.77-0.480.750.31-0.15-0.31-0.49-1.16-2.080.68-1.24-0.36-
分红(亿)--0.01------4.83--------
总资产(亿)64.1874.2775.9433.4412.3912.018.557.496.576.617.106.108.168.786.455.243.50-
净资产(亿)43.6147.6248.0721.627.675.675.253.922.702.402.071.372.023.112.630.520.22-0.00
商誉(亿)------------------
+

费用指标

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
指标2024-12-312023-12-312022-12-312021-12-312020-12-312019-12-312018-12-312017-12-312016-12-312015-12-312014-12-312013-12-312012-12-312011-12-312010-12-312009-12-312008-12-312007-12-31
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------------------
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%-
+

资产占比

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
指标2024-12-312023-12-312022-12-312021-12-312020-12-312019-12-312018-12-312017-12-312016-12-312015-12-312014-12-312013-12-312012-12-312011-12-312010-12-312009-12-312008-12-312007-12-31
现金占比15.68%40.92%46.08%21.65%6.18%4.32%7.65%8.10%2.43%2.19%1.00%1.28%0.82%10.55%31.56%15.54%0.94%-
库存占比2.34%2.33%2.23%9.80%3.97%3.27%1.81%2.62%1.87%1.62%1.35%1.72%1.85%2.75%1.74%0.90%1.37%-
应收款占比0.86%1.57%14.90%10.94%0.02%0.47%1.18%2.87%2.95%4.73%9.71%5.37%4.78%3.83%2.49%3.19%0.70%-
预付款占比5.03%3.22%0.98%1.35%4.37%6.45%1.21%6.12%3.04%1.85%1.81%6.57%2.98%1.65%1.67%3.45%6.68%-
固定资产占比54.52%48.83%34.31%46.63%82.90%82.84%72.17%64.83%84.88%82.37%78.72%80.06%83.04%72.45%61.93%76.34%89.83%-
长期投资占比0.43%0.37%--0.06%0.05%0.08%0.09%0.09%0.15%0.14%0.16%------
商誉占比------------------
其他资产占比21.14%2.77%1.50%9.62%2.50%2.59%15.91%15.37%4.73%7.09%7.28%4.84%6.53%8.76%0.60%0.58%0.47%100.00%
应付款占比0.41%1.25%1.08%2.44%1.53%1.06%1.08%2.58%2.85%2.65%2.36%2.90%1.51%1.19%0.67%0.67%21.22%-
预收款占比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%-
短期借款占比0.21%1.21%0.54%4.27%19.34%38.33%15.77%25.37%40.11%29.61%39.16%89.54%14.73%13.09%11.10%8.36%2.97%-
长期借款占比0.00%0.00%0.00%0.00%9.94%12.61%15.59%14.88%17.05%17.94%10.89%22.10%22.97%18.86%12.87%27.66%24.08%-
运营资产占比7.82%5.87%17.04%19.66%6.84%9.14%3.12%9.02%5.01%5.55%10.50%10.75%8.10%7.04%5.24%6.87%-12.47%0.00%
有息负债率0.21%1.21%0.54%4.27%29.28%50.94%31.36%40.25%57.16%47.55%50.05%111.64%37.71%31.94%23.96%36.03%27.05%-
+

周转能力

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
指标2024-12-312023-12-312022-12-312021-12-312020-12-312019-12-312018-12-312017-12-312016-12-312015-12-312014-12-312013-12-312012-12-312011-12-312010-12-312009-12-312008-12-312007-12-31
存货周转天数44455120540532734302725284451302490-
应收款周转天数19188979051222306213710916347245415-
应付款周转天数72424511517163346444347362211181,398-
固定资产周转率0.290.641.771.080.660.350.490.730.410.330.330.220.130.400.610.280.18-
总资产周转率0.160.310.610.500.550.290.350.470.350.280.260.180.110.290.380.210.16-
+ + + \ No newline at end of file diff --git a/data/US/DQ/report.md b/data/US/DQ/report.md new file mode 100644 index 0000000..2fb4a8b --- /dev/null +++ b/data/US/DQ/report.md @@ -0,0 +1,67 @@ +# Daqo New Energy Corp ADR (DQ) - Financial Report +*Report generated on: 2025-12-18* + +| 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% | + + +## 主要指标 +| 指标 | 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 | +|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| +| ROE | -7.92% | 9.02% | 37.85% | 34.98% | 16.84% | 5.21% | 7.26% | 23.70% | 16.10% | 5.39% | 8.05% | -51.66% | -55.38% | 10.71% | 26.03% | 58.74% | 97.66% | 100.00% | +| ROA | -5.38% | 5.78% | 23.96% | 22.62% | 10.43% | 2.46% | 4.46% | 12.40% | 6.62% | 1.96% | 2.34% | -11.63% | -13.71% | 3.79% | 10.63% | 5.89% | 6.15% | - | +| ROCE/ROIC | -8.88% | 16.15% | 62.71% | 45.62% | 16.62% | 4.03% | 10.66% | 18.55% | 8.14% | 5.04% | 5.84% | -24.49% | -17.16% | 8.91% | 22.86% | 15.24% | 23.47% | 100.00% | +| 毛利率 | -20.69% | 39.89% | 73.95% | 65.36% | 34.63% | 22.89% | 32.53% | 40.66% | 35.11% | 20.63% | 23.70% | -23.95% | -43.10% | 33.66% | 43.76% | 37.72% | 65.60% | - | +| 净利润率 | -33.55% | 18.61% | 39.49% | 45.05% | 19.12% | 8.44% | 12.64% | 26.31% | 18.98% | 7.12% | 9.12% | -65.09% | -128.87% | 13.03% | 28.26% | 27.73% | 38.19% | - | +| 收入(亿) | 10.29 | 23.08 | 46.08 | 16.79 | 6.76 | 3.50 | 3.02 | 3.53 | 2.29 | 1.82 | 1.83 | 1.09 | 0.87 | 2.56 | 2.43 | 1.11 | 0.56 | - | +| 收入增速 | -55.41% | -49.92% | 174.50% | 148.49% | 93.03% | 16.04% | -14.53% | 54.02% | 25.85% | -0.29% | 67.50% | 25.49% | -66.05% | 5.42% | 118.26% | 97.26% | - | - | +| 净利润(亿) | -3.45 | 4.30 | 18.20 | 7.56 | 1.29 | 0.30 | 0.38 | 0.93 | 0.43 | 0.13 | 0.17 | -0.71 | -1.12 | 0.33 | 0.69 | 0.31 | 0.22 | -0.00 | +| 净利润增速 | -180.37% | -76.40% | 140.64% | 485.33% | 337.58% | -22.56% | -58.94% | 113.46% | 235.71% | -22.18% | 123.47% | 36.62% | -435.89% | -51.40% | 122.38% | 43.25% | 45375.81% | - | +| 经营净现金流(亿) | -4.36 | 16.16 | 24.67 | 6.39 | 2.10 | 1.03 | 0.96 | 1.43 | 0.99 | 0.66 | 0.46 | -0.17 | -0.10 | 0.45 | 1.26 | -0.03 | 1.03 | - | +| 资本开支(亿) | 3.59 | 11.87 | 12.51 | 5.08 | 1.18 | 2.80 | 1.43 | 0.68 | 0.67 | 0.81 | 0.77 | 0.33 | 1.06 | 2.53 | 0.58 | 1.21 | 1.39 | 0.00 | +| 自由现金流(亿) | -7.95 | 4.29 | 12.16 | 1.31 | 0.91 | -1.77 | -0.48 | 0.75 | 0.31 | -0.15 | -0.31 | -0.49 | -1.16 | -2.08 | 0.68 | -1.24 | -0.36 | - | +| 分红(亿) | - | - | 0.01 | - | - | - | - | - | - | 4.83 | - | - | - | - | - | - | - | - | +| 总资产(亿) | 64.18 | 74.27 | 75.94 | 33.44 | 12.39 | 12.01 | 8.55 | 7.49 | 6.57 | 6.61 | 7.10 | 6.10 | 8.16 | 8.78 | 6.45 | 5.24 | 3.50 | - | +| 净资产(亿) | 43.61 | 47.62 | 48.07 | 21.62 | 7.67 | 5.67 | 5.25 | 3.92 | 2.70 | 2.40 | 2.07 | 1.37 | 2.02 | 3.11 | 2.63 | 0.52 | 0.22 | -0.00 | +| 商誉(亿) | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | + + +## 费用指标 +| 指标 | 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 | +|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| +| 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 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 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% | - | + + +## 资产占比 +| 指标 | 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 | +|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| +| 现金占比 | 15.68% | 40.92% | 46.08% | 21.65% | 6.18% | 4.32% | 7.65% | 8.10% | 2.43% | 2.19% | 1.00% | 1.28% | 0.82% | 10.55% | 31.56% | 15.54% | 0.94% | - | +| 库存占比 | 2.34% | 2.33% | 2.23% | 9.80% | 3.97% | 3.27% | 1.81% | 2.62% | 1.87% | 1.62% | 1.35% | 1.72% | 1.85% | 2.75% | 1.74% | 0.90% | 1.37% | - | +| 应收款占比 | 0.86% | 1.57% | 14.90% | 10.94% | 0.02% | 0.47% | 1.18% | 2.87% | 2.95% | 4.73% | 9.71% | 5.37% | 4.78% | 3.83% | 2.49% | 3.19% | 0.70% | - | +| 预付款占比 | 5.03% | 3.22% | 0.98% | 1.35% | 4.37% | 6.45% | 1.21% | 6.12% | 3.04% | 1.85% | 1.81% | 6.57% | 2.98% | 1.65% | 1.67% | 3.45% | 6.68% | - | +| 固定资产占比 | 54.52% | 48.83% | 34.31% | 46.63% | 82.90% | 82.84% | 72.17% | 64.83% | 84.88% | 82.37% | 78.72% | 80.06% | 83.04% | 72.45% | 61.93% | 76.34% | 89.83% | - | +| 长期投资占比 | 0.43% | 0.37% | - | - | 0.06% | 0.05% | 0.08% | 0.09% | 0.09% | 0.15% | 0.14% | 0.16% | - | - | - | - | - | - | +| 商誉占比 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | +| 其他资产占比 | 21.14% | 2.77% | 1.50% | 9.62% | 2.50% | 2.59% | 15.91% | 15.37% | 4.73% | 7.09% | 7.28% | 4.84% | 6.53% | 8.76% | 0.60% | 0.58% | 0.47% | 100.00% | +| 应付款占比 | 0.41% | 1.25% | 1.08% | 2.44% | 1.53% | 1.06% | 1.08% | 2.58% | 2.85% | 2.65% | 2.36% | 2.90% | 1.51% | 1.19% | 0.67% | 0.67% | 21.22% | - | +| 预收款占比 | 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% | - | +| 短期借款占比 | 0.21% | 1.21% | 0.54% | 4.27% | 19.34% | 38.33% | 15.77% | 25.37% | 40.11% | 29.61% | 39.16% | 89.54% | 14.73% | 13.09% | 11.10% | 8.36% | 2.97% | - | +| 长期借款占比 | 0.00% | 0.00% | 0.00% | 0.00% | 9.94% | 12.61% | 15.59% | 14.88% | 17.05% | 17.94% | 10.89% | 22.10% | 22.97% | 18.86% | 12.87% | 27.66% | 24.08% | - | +| 运营资产占比 | 7.82% | 5.87% | 17.04% | 19.66% | 6.84% | 9.14% | 3.12% | 9.02% | 5.01% | 5.55% | 10.50% | 10.75% | 8.10% | 7.04% | 5.24% | 6.87% | -12.47% | 0.00% | +| 有息负债率 | 0.21% | 1.21% | 0.54% | 4.27% | 29.28% | 50.94% | 31.36% | 40.25% | 57.16% | 47.55% | 50.05% | 111.64% | 37.71% | 31.94% | 23.96% | 36.03% | 27.05% | - | + + +## 周转能力 +| 指标 | 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 | +|:---|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:|--:| +| 存货周转天数 | 44 | 45 | 51 | 205 | 40 | 53 | 27 | 34 | 30 | 27 | 25 | 28 | 44 | 51 | 30 | 24 | 90 | - | +| 应收款周转天数 | 19 | 18 | 89 | 79 | 0 | 5 | 12 | 22 | 30 | 62 | 137 | 109 | 163 | 47 | 24 | 54 | 15 | - | +| 应付款周转天数 | 7 | 24 | 24 | 51 | 15 | 17 | 16 | 33 | 46 | 44 | 43 | 47 | 36 | 22 | 11 | 18 | 1,398 | - | +| 固定资产周转率 | 0.29 | 0.64 | 1.77 | 1.08 | 0.66 | 0.35 | 0.49 | 0.73 | 0.41 | 0.33 | 0.33 | 0.22 | 0.13 | 0.40 | 0.61 | 0.28 | 0.18 | - | +| 总资产周转率 | 0.16 | 0.31 | 0.61 | 0.50 | 0.55 | 0.29 | 0.35 | 0.47 | 0.35 | 0.28 | 0.26 | 0.18 | 0.11 | 0.29 | 0.38 | 0.21 | 0.16 | - | + diff --git a/main.py b/main.py index 7ea7962..1f1accc 100644 --- a/main.py +++ b/main.py @@ -4,95 +4,39 @@ from dotenv import load_dotenv sys.path.append(os.path.join(os.path.dirname(__file__), 'src')) -from fetchers.factory import FetcherFactory -from storage.file_io import DataStorage -from analysis.calculator import FinancialCalculator -from reporting.markdown_generator import MarkdownReporter -from reporting.html_generator import HtmlReporter +from strategies.cn_strategy import CN_Strategy +from strategies.us_strategy import US_Strategy -def run_analysis(market, symbol): + +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) + else: + raise ValueError(f"Unsupported market: {market}") + +def main(): load_dotenv() tushare_token = os.getenv('TUSHARE_TOKEN') av_key = os.getenv('ALPHA_VANTAGE_KEY') - - print(f"\nProcessing {market} stock: {symbol}...") - # 1. Fetch Data - try: - fetcher = FetcherFactory.get_fetcher(market, tushare_token, av_key) - - print("Fetching Income Statement...") - df_inc = fetcher.get_income_statement(symbol) - print("Fetching Balance Sheet...") - df_bal = fetcher.get_balance_sheet(symbol) - print("Fetching Cash Flow...") - df_cf = fetcher.get_cash_flow(symbol) - print("Fetching Market Metrics...") - metrics = fetcher.get_market_metrics(symbol) - print(f"Metrics: {metrics}") - - # 1.1 Fetch Historical Metrics - historical_metrics_df = None - if not df_inc.empty: - # Tushare dates are often YYYYMMDD. Align format. - dates = df_inc['date'].tolist() if 'date' in df_inc.columns else [] - # Also combine from bal/cf if needed? usually inc covers reporting periods. - if dates and hasattr(fetcher, 'get_historical_metrics'): - print(f"Fetching Historical Market Metrics for {len(dates)} periods...") - historical_metrics_df = fetcher.get_historical_metrics(symbol, dates) - - # 2. Save Data - storage = DataStorage() - storage.save_data(df_inc, market, symbol, "income_statement") - storage.save_data(df_bal, market, symbol, "balance_sheet") - storage.save_data(df_cf, market, symbol, "cash_flow") - - # 3. Calculate Indicators - print("Calculating Financial Indicators...") - calculator = FinancialCalculator() - df_analysis = calculator.process_data(df_inc, df_bal, df_cf, metrics, market, historical_metrics_df) - - if df_analysis.empty: - print("Not enough data to calculate indicators.") - return - # 4. Generate Reports - print("Generating Reports...") - md_reporter = MarkdownReporter() - html_reporter = HtmlReporter() - - md_content = md_reporter.generate_report(df_analysis, market, symbol, metrics) - html_content = html_reporter.generate_report(df_analysis, market, symbol, metrics) - - output_dir = os.path.join("data", market, symbol) - md_path = os.path.join(output_dir, "report.md") - html_path = os.path.join(output_dir, "report.html") - - with open(md_path, "w", encoding='utf-8') as f: - f.write(md_content) - - with open(html_path, "w", encoding='utf-8') as f: - f.write(html_content) - - print(f"\nAnalysis completed! Reports saved to:") - print(f" - Markdown: {md_path}") - print(f" - HTML: {html_path}") - print("-" * 50) - - except Exception as e: - print(f"Error occurred: {str(e)}") - import traceback - traceback.print_exc() - -if __name__ == "__main__": if len(sys.argv) > 2: market = sys.argv[1] symbol = sys.argv[2] - run_analysis(market, symbol) + strategy = get_strategy(market, symbol, tushare_token, av_key) + strategy.execute() else: print("Usage: python main.py ") - # Default test cases if run without args (for manual testing) print("Running default test cases:") + # Test CN - run_analysis('CN', '600519.SH') + cn_strategy = get_strategy('CN', '600519.SH', tushare_token) + cn_strategy.execute() + # Test US - run_analysis('US', 'AAPL') + us_strategy = get_strategy('US', 'AAPL', av_key=av_key) + us_strategy.execute() + +if __name__ == "__main__": + main() diff --git a/src/analysis/__pycache__/base_analyzer.cpython-312.pyc b/src/analysis/__pycache__/base_analyzer.cpython-312.pyc new file mode 100644 index 0000000..50f840a Binary files /dev/null and b/src/analysis/__pycache__/base_analyzer.cpython-312.pyc differ diff --git a/src/analysis/__pycache__/calculator.cpython-312.pyc b/src/analysis/__pycache__/calculator.cpython-312.pyc index 1c22f10..c20c3e6 100644 Binary files a/src/analysis/__pycache__/calculator.cpython-312.pyc and b/src/analysis/__pycache__/calculator.cpython-312.pyc differ diff --git a/src/analysis/__pycache__/calculator.cpython-313.pyc b/src/analysis/__pycache__/calculator.cpython-313.pyc index 909774c..87c3513 100644 Binary files a/src/analysis/__pycache__/calculator.cpython-313.pyc and b/src/analysis/__pycache__/calculator.cpython-313.pyc differ diff --git a/src/analysis/__pycache__/cn_analyzer.cpython-312.pyc b/src/analysis/__pycache__/cn_analyzer.cpython-312.pyc new file mode 100644 index 0000000..6e71c93 Binary files /dev/null and b/src/analysis/__pycache__/cn_analyzer.cpython-312.pyc differ diff --git a/src/analysis/__pycache__/us_analyzer.cpython-312.pyc b/src/analysis/__pycache__/us_analyzer.cpython-312.pyc new file mode 100644 index 0000000..bd5a878 Binary files /dev/null and b/src/analysis/__pycache__/us_analyzer.cpython-312.pyc differ diff --git a/src/analysis/base_analyzer.py b/src/analysis/base_analyzer.py new file mode 100644 index 0000000..8068693 --- /dev/null +++ b/src/analysis/base_analyzer.py @@ -0,0 +1,60 @@ +import pandas as pd +import numpy as np + +class BaseAnalyzer: + def __init__(self, market): + 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: + df_inc = self._map_columns(df_inc, 'income') + df_bal = self._map_columns(df_bal, 'balance') + df_cf = self._map_columns(df_cf, 'cashflow') + + for df in [df_inc, df_bal, df_cf]: + if not df.empty and 'date' in df.columns: + df['date_str'] = df['date'].astype(str).str.replace('-', '') + + if df_inc.empty: + return pd.DataFrame() + + df_merged = df_inc + if not df_bal.empty: + 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_merged.empty: + return pd.DataFrame() + + df_merged = df_merged.sort_values('date_str', ascending=False) + + df_merged = self.calculate_indicators(df_merged, market_metrics, historical_metrics) + + return df_merged + + def calculate_indicators(self, df_merged, market_metrics, historical_metrics): + # This method will be implemented by subclasses + return df_merged + + def _map_columns(self, df: pd.DataFrame, type: str) -> pd.DataFrame: + df = df.copy() + if df.empty: return df + cols = df.columns + + market_mapping = self.mapping.get(type, {}) + actual_map = {k: v for k, v in market_mapping.items() if k in cols} + df = df.rename(columns=actual_map) + + df = df.loc[:, ~df.columns.duplicated()] + + df = self._post_process_columns(df, type) + + return df + + def _post_process_columns(self, df, type): + # To be implemented in subclasses for specific post-processing + return df + + def _safe_div(self, a, b): + return a / b.replace(0, np.nan) diff --git a/src/analysis/calculator.py b/src/analysis/calculator.py deleted file mode 100644 index 236a9df..0000000 --- a/src/analysis/calculator.py +++ /dev/null @@ -1,344 +0,0 @@ -import pandas as pd -import numpy as np - -class FinancialCalculator: - def process_data(self, df_inc: pd.DataFrame, df_bal: pd.DataFrame, df_cf: pd.DataFrame, market_metrics: dict, market: str, historical_metrics: pd.DataFrame = None) -> pd.DataFrame: - """ - Input DFs are expected to be raw API output (with some renaming from Fetcher, but we can re-map here for safety). - Output: A DataFrame where index is Years (descending), columns are all calculated indicators. - """ - # 1. Standardize and Merge - # We need a robust date/year index. - # Tushare: end_date (YYYYMMDD). AV: fiscalDateEnding (YYYY-MM-DD). - # Fetchers already normalize some cols, but let's map extensively. - - df_inc = self._map_columns(df_inc, 'income', market) - df_bal = self._map_columns(df_bal, 'balance', market) - df_cf = self._map_columns(df_cf, 'cashflow', market) - - # Merge on 'date_str' (normalized YYYY-MM-DD or YYYYMMDD string) - # We need to create a unified key. Fetchers return 'date' column. - # Let's clean 'date' to string. - for df in [df_inc, df_bal, df_cf]: - if not df.empty and 'date' in df.columns: - df['date_str'] = df['date'].astype(str).str.replace('-', '') # Standardize to YYYYMMDD - - # Start with Income Statement as base (usually most critical for periods) - if df_inc.empty: - return pd.DataFrame() - - df_merged = pd.merge(df_inc, df_bal, on='date_str', how='outer', suffixes=('', '_bal')) - df_merged = pd.merge(df_merged, df_cf, on='date_str', how='outer', suffixes=('', '_cf')) - - if df_merged.empty: - return pd.DataFrame() - - # Sort desc - df_merged = df_merged.sort_values('date_str', ascending=False) - - # 2. Calculate Indicators - # Helper for safer division - def safe_div(a, b): - return a / b.replace(0, np.nan) - - # --- Major Indicators --- - # Revenue, NetIncome (mapped) - # Growth Rates (YoY) - Note: Data is desc, so shift(-1) is previous year - # Helper for YoY Growth - def calc_yoy_growth(df, col): - growths = [] - for idx, row in df.iterrows(): - try: - curr_date = str(row['date_str']) - # target prev year date: 20250930 -> 20240930 - target_date = str(int(curr_date) - 10000) - - # Find matching row - 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: - # Fallback: if no match found (e.g. historical annuals might be contiguous), - # check if next row is exact 1 year prior? - # Actually strict matching is safer to avoid Q3 vs FY comparison issues user reported. - 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 - if 'gross_profit' in df_merged.columns and 'revenue' in df_merged.columns: - df_merged['GrossMargin'] = safe_div(df_merged['gross_profit'], df_merged['revenue']) - if 'net_income' in df_merged.columns and 'revenue' in df_merged.columns: - df_merged['NetMargin'] = safe_div(df_merged['net_income'], df_merged['revenue']) - - # Returns - # ROE - if 'net_income' in df_merged.columns and 'total_equity' in df_merged.columns: - df_merged['ROE'] = safe_div(df_merged['net_income'], df_merged['total_equity']) - - # ROA - if 'net_income' in df_merged.columns and 'total_assets' in df_merged.columns: - df_merged['ROA'] = 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'] = 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 --- - - # --- Expenses --- - if 'selling_exp' in df_merged.columns and 'revenue' in df_merged.columns: - df_merged['SellingRatio'] = safe_div(df_merged['selling_exp'], df_merged['revenue']) - if 'admin_exp' in df_merged.columns and 'revenue' in df_merged.columns: - df_merged['AdminRatio'] = safe_div(df_merged['admin_exp'], df_merged['revenue']) - if 'rd_exp' in df_merged.columns and 'revenue' in df_merged.columns: - df_merged['RDRatio'] = safe_div(df_merged['rd_exp'], df_merged['revenue']) - # Tax Rate - if 'income_tax' in df_merged.columns and 'total_profit' in df_merged.columns: - df_merged['TaxRate'] = 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: - # depreciation might be negative in some sources? Usually positive expense. - # safe_div logic check - df_merged['DepreciationRatio'] = safe_div(df_merged['depreciation'].abs(), df_merged['revenue']) - - if 'total_assets' in df_merged.columns: - assets = df_merged['total_assets'] - # Restore missing ratios - if 'cash' in df_merged.columns: df_merged['CashRatio'] = safe_div(df_merged['cash'], assets) - if 'inventory' in df_merged.columns: df_merged['InventoryRatio'] = safe_div(df_merged['inventory'], assets) - if 'receivables' in df_merged.columns: df_merged['ReceivablesRatio'] = safe_div(df_merged['receivables'], assets) - if 'accounts_payable' in df_merged.columns: df_merged['PayablesRatio'] = safe_div(df_merged['accounts_payable'], assets) - - # Prepayment - if 'prepayment' in df_merged.columns: df_merged['PrepaymentRatio'] = safe_div(df_merged['prepayment'], assets) - - # Fixed Assets - if 'fixed_assets' in df_merged.columns: df_merged['FixedAssetsRatio'] = safe_div(df_merged['fixed_assets'], assets) - - # Long Term Investment - if 'lt_invest' in df_merged.columns: df_merged['LongTermInvestmentRatio'] = safe_div(df_merged['lt_invest'], assets) - - # Goodwill - if 'goodwill' in df_merged.columns: df_merged['GoodwillRatio'] = safe_div(df_merged['goodwill'], assets) - - # Other Assets: User requested specific residual formula - # 1 - Cash - Inventory - Receivables - Prepayment - FixedAssets - LTInvest - Goodwill - # Use fillna(0) to ensure subtraction works - known_assets_ratio = ( - df_merged.get('CashRatio', 0).fillna(0) + - df_merged.get('InventoryRatio', 0).fillna(0) + - df_merged.get('ReceivablesRatio', 0).fillna(0) + - df_merged.get('PrepaymentRatio', 0).fillna(0) + - df_merged.get('FixedAssetsRatio', 0).fillna(0) + - df_merged.get('LongTermInvestmentRatio', 0).fillna(0) + - df_merged.get('GoodwillRatio', 0).fillna(0) - ) - df_merged['OtherAssetsRatio'] = 1 - known_assets_ratio - - # Advance Receipts (adv_receipts + contract_liab) - adv = df_merged.get('adv_receipts', 0).fillna(0) + df_merged.get('contract_liab', 0).fillna(0) - df_merged['AdvanceReceiptsRatio'] = safe_div(adv, assets) - - # Debts - # Handle potential column name collision from merge (prioritize Balance Sheet source) - st_col = 'short_term_debt_bal' if 'short_term_debt_bal' in df_merged.columns else 'short_term_debt' - lt_col = 'long_term_debt_bal' if 'long_term_debt_bal' in df_merged.columns else 'long_term_debt' - - st_debt = df_merged.get(st_col, 0).fillna(0) - lt_debt = df_merged.get(lt_col, 0).fillna(0) - - df_merged['ShortTermDebtRatio'] = safe_div(st_debt, assets) - df_merged['LongTermDebtRatio'] = safe_div(lt_debt, assets) - - # Interest Bearing Debt Ratio - df_merged['InterestBearingDebtRatio'] = safe_div(st_debt + lt_debt, assets) - - # Operating Assets Ratio (New user-defined formula) - # InventoryRatio + ReceivablesRatio + PrepaymentRatio - PayablesRatio - AdvanceReceiptsRatio - inv_ratio = df_merged.get('InventoryRatio', 0).fillna(0) - rec_ratio = df_merged.get('ReceivablesRatio', 0).fillna(0) - prep_ratio = df_merged.get('PrepaymentRatio', 0).fillna(0) - pay_ratio = df_merged.get('PayablesRatio', 0).fillna(0) - adv_ratio = df_merged.get('AdvanceReceiptsRatio', 0).fillna(0) - 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'] = safe_div(df_merged['inventory'] * 365, df_merged['cogs']) - if 'accounts_payable' in df_merged.columns: - df_merged['PayablesDays'] = 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'] = safe_div(df_merged['receivables'] * 365, df_merged['revenue']) - if 'fixed_assets' in df_merged.columns: - df_merged['FixedAssetsTurnover'] = safe_div(df_merged['revenue'], df_merged['fixed_assets']) - if 'total_assets' in df_merged.columns: - df_merged['TotalAssetTurnover'] = safe_div(df_merged['revenue'], df_merged['total_assets']) - - # --- Market Metrics --- - if historical_metrics is not None and not historical_metrics.empty and not df_merged.empty: - # Merge historical metrics - # historical_metrics likely has ['date_str', 'Price', 'PE', 'PB', 'MarketCap', 'Shareholders'] - # We merge on date_str. - # Use distinct suffixes to avoid collision if columns exist? - df_merged = pd.merge(df_merged, historical_metrics, on='date_str', how='left', suffixes=('', '_hist')) - - # Fill missing with latest metrics for the first row if historical missing (e.g. today's report? usually historical covers it) - # Or prioritize historical. - # Columns in historical: Price, PE, PB, MarketCap, Shareholders. - # If they exist in df_merged after merge, good. - # Ensure 'Employees' is still filled from market_metrics (stock_company is usually single latest) - # df_merged.loc[df_merged.index[0], 'Employees'] = market_metrics.get('employee_count') # MOVED to Annual Logic below - - # If historical is missing for latest date (e.g. slight mismatch), fallback to snapshot? - if pd.isna(df_merged.iloc[0].get('Price')): - df_merged.loc[df_merged.index[0], 'Price'] = market_metrics.get('price') - if pd.isna(df_merged.iloc[0].get('PE')): - df_merged.loc[df_merged.index[0], 'PE'] = market_metrics.get('pe') - # ... checks for others if needed. - - # Shareholders fallback - if pd.isna(df_merged.iloc[0].get('Shareholders')): - df_merged.loc[df_merged.index[0], 'Shareholders'] = market_metrics.get('total_share_holders') - - elif not df_merged.empty: # Fallback to existing logic (snapshot only) - 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], 'Employees'] <-- Removed - df_merged.loc[df_merged.index[0], 'Shareholders'] = market_metrics.get('total_share_holders') - - # --- Employees & Per-Employee Metrics --- - # Logic: Employee count usually comes from the latest Annual Report. - # Assign to the most recent '1231' row. - if not df_merged.empty: - # Find rows ending with 1231 - annual_idxs = df_merged.index[df_merged['date_str'].astype(str).str.endswith('1231')] - if len(annual_idxs) > 0: - target_idx = annual_idxs[0] # The latest annual report in the sorted list - - 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 - - # Filter out auxiliary comparison periods (e.g. Q3 last year used only for growth calc) - # Keep: Latest Period AND Annual Reports - if not df_merged.empty: - latest_date = df_merged['date_str'].iloc[0] - # condition: is latest OR is annual (ends with 1231) - condition = (df_merged['date_str'] == latest_date) | (df_merged['date_str'].astype(str).str.endswith('1231')) - df_merged = df_merged[condition] - - return df_merged - - def _map_columns(self, df: pd.DataFrame, type: str, market: str) -> pd.DataFrame: - df = df.copy() - if df.empty: return df - cols = df.columns - - mapping = {} - if market == 'CN': - # Tushare mapping - mapping = { - # Income - 'total_revenue': 'revenue', 'oper_cost': 'cogs', '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', 'n_income_attr_p': 'net_income', 'net_profit_attr_p': 'net_income', - # 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', - # Updated per user request and CSV validation: st_borr, lt_borr - '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_hldr_eqy_exc_min_int': 'total_equity', 'total_share_holder_equity': 'total_equity', - 'adv_receipts': 'adv_receipts', 'contract_liab': 'contract_liab', - 'acct_payable': 'accounts_payable', - # Cash - 'net_cash_flow': 'ocf', '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' - } - else: - # Alpha Vantage mapping - mapping = { - # Income - 'totalRevenue': 'revenue', 'costOfRevenue': 'cogs', 'grossProfit': 'gross_profit', - 'sellingGeneralAndAdministrative': 'operating_expenses', - 'researchAndDevelopment': 'rd_exp', 'interestExpense': 'fin_exp', - 'incomeBeforeTax': 'total_profit', 'incomeTaxExpense': 'income_tax', 'netIncome': 'net_income', - 'ebit': 'ebit', - # Balance - 'cashAndCashEquivalentsAtCarryingValue': 'cash', 'currentNetReceivables': 'receivables', 'inventory': 'inventory', - 'propertyPlantEquipment': 'fixed_assets', 'totalAssets': 'total_assets', 'goodwill': 'goodwill', - 'otherCurrentAssets': 'prepayment', 'longTermInvestments': 'lt_invest', 'otherNonCurrentAssets': 'other_assets', - 'shortTermDebt': 'short_term_debt', 'currentLongTermDebt': 'short_term_debt_part', - 'longTermDebt': 'long_term_debt', 'totalLiabilities': 'total_liabilities', 'totalShareholderEquity': 'total_equity', - 'currentAccountsPayable': 'accounts_payable', 'deferredRevenue': 'adv_receipts', - # Cash - 'net_cash_flow': 'ocf', 'operatingCashflow': 'ocf', 'capitalExpenditures': 'capex', 'dividendPayout': 'dividends' - } - - # Filter mapping keys that exist in df - actual_map = {k: v for k, v in mapping.items() if k in cols} - df = df.rename(columns=actual_map) - - # Remove duplicate columns (e.g. if 'revenue' existed and we renamed 'total_revenue' to 'revenue') - df = df.loc[:, ~df.columns.duplicated()] - - # Post-processing - 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) - - # Gross Profit - if 'gross_profit' not in df.columns and 'revenue' in df.columns and 'cogs' in df.columns: - df['gross_profit'] = df['revenue'] - df['cogs'] - - # EBIT - 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 diff --git a/src/analysis/cn_analyzer.py b/src/analysis/cn_analyzer.py new file mode 100644 index 0000000..00e42ef --- /dev/null +++ b/src/analysis/cn_analyzer.py @@ -0,0 +1,201 @@ +from .base_analyzer import BaseAnalyzer +import pandas as pd +import numpy as np + +class CN_Analyzer(BaseAnalyzer): + def __init__(self): + super().__init__('CN') + self.mapping = { + 'income': { + 'total_revenue': 'revenue', 'oper_cost': 'cogs', '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', 'n_income_attr_p': 'net_income', 'net_profit_attr_p': 'net_income', + }, + '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_hldr_eqy_exc_min_int': 'total_equity', 'total_share_holder_equity': 'total_equity', + 'adv_receipts': 'adv_receipts', 'contract_liab': 'contract_liab', + 'acct_payable': 'accounts_payable', + }, + 'cashflow': { + 'net_cash_flow': 'ocf', '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 diff --git a/src/analysis/us_analyzer.py b/src/analysis/us_analyzer.py new file mode 100644 index 0000000..42f57e4 --- /dev/null +++ b/src/analysis/us_analyzer.py @@ -0,0 +1,182 @@ +from .base_analyzer import BaseAnalyzer +import pandas as pd +import numpy as np + +class US_Analyzer(BaseAnalyzer): + def __init__(self): + super().__init__('US') + self.mapping = { + 'income': { + 'totalRevenue': 'revenue', 'costOfRevenue': 'cogs', 'grossProfit': 'gross_profit', + 'sellingGeneralAndAdministrative': 'sga_exp', + 'researchAndDevelopment': 'rd_exp', 'interestExpense': 'fin_exp', + 'incomeBeforeTax': 'total_profit', 'incomeTaxExpense': 'income_tax', 'netIncome': 'net_income', + 'ebit': 'ebit', + }, + 'balance': { + 'cashAndCashEquivalentsAtCarryingValue': 'cash', 'currentNetReceivables': 'receivables', 'inventory': 'inventory', + 'propertyPlantEquipment': 'fixed_assets', 'totalAssets': 'total_assets', 'goodwill': 'goodwill', + 'otherCurrentAssets': 'prepayment', 'longTermInvestments': 'lt_invest', 'otherNonCurrentAssets': 'other_assets', + 'shortTermDebt': 'short_term_debt', 'currentLongTermDebt': 'short_term_debt_part', + 'longTermDebt': 'long_term_debt', 'totalLiabilities': 'total_liabilities', 'totalShareholderEquity': 'total_equity', + 'currentAccountsPayable': 'accounts_payable', 'deferredRevenue': 'adv_receipts', + }, + 'cashflow': { + 'operatingCashflow': 'ocf', 'capitalExpenditures': 'capex', 'dividendPayout': 'dividends' + } + } + + 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 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 'sga_exp' in df_merged.columns: + df_merged['SgaRatio'] = self._safe_div(df_merged['sga_exp'], df_merged['revenue']) + if 'rd_exp' in df_merged.columns: + df_merged['RDRatio'] = self._safe_div(df_merged['rd_exp'], df_merged['revenue']) + 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 + if 'GrossMargin' in df_merged.columns and 'NetMargin' in df_merged.columns: + other_ratio = df_merged['GrossMargin'] - df_merged['NetMargin'] + if 'SgaRatio' in df_merged.columns: + other_ratio = other_ratio - df_merged['SgaRatio'].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) + + # Other Assets Ratio (as a residual) + 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 + + # Liability Ratios + adv = series_or_zero('adv_receipts') + 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) + + # Operating Assets Ratio + 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') + + # US Market doesn't typically have per-employee metrics readily available in the same way + + return df_merged \ No newline at end of file diff --git a/src/fetchers/__pycache__/alpha_vantage_fetcher.cpython-312.pyc b/src/fetchers/__pycache__/alpha_vantage_fetcher.cpython-312.pyc index 09e2dc7..37cd960 100644 Binary files a/src/fetchers/__pycache__/alpha_vantage_fetcher.cpython-312.pyc and b/src/fetchers/__pycache__/alpha_vantage_fetcher.cpython-312.pyc differ diff --git a/src/fetchers/__pycache__/alpha_vantage_fetcher.cpython-313.pyc b/src/fetchers/__pycache__/alpha_vantage_fetcher.cpython-313.pyc index 7fedd1b..1678522 100644 Binary files a/src/fetchers/__pycache__/alpha_vantage_fetcher.cpython-313.pyc and b/src/fetchers/__pycache__/alpha_vantage_fetcher.cpython-313.pyc differ diff --git a/src/fetchers/__pycache__/tushare_fetcher.cpython-312.pyc b/src/fetchers/__pycache__/tushare_fetcher.cpython-312.pyc index 7c661fe..223e2fe 100644 Binary files a/src/fetchers/__pycache__/tushare_fetcher.cpython-312.pyc and b/src/fetchers/__pycache__/tushare_fetcher.cpython-312.pyc differ diff --git a/src/fetchers/__pycache__/tushare_fetcher.cpython-313.pyc b/src/fetchers/__pycache__/tushare_fetcher.cpython-313.pyc index 0e05201..d4e5acb 100644 Binary files a/src/fetchers/__pycache__/tushare_fetcher.cpython-313.pyc and b/src/fetchers/__pycache__/tushare_fetcher.cpython-313.pyc differ diff --git a/src/fetchers/alpha_vantage_fetcher.py b/src/fetchers/alpha_vantage_fetcher.py index 49b3ecc..996c140 100644 --- a/src/fetchers/alpha_vantage_fetcher.py +++ b/src/fetchers/alpha_vantage_fetcher.py @@ -1,12 +1,29 @@ import requests import pandas as pd +import time from .base import DataFetcher +from storage.file_io import DataStorage class AlphaVantageFetcher(DataFetcher): BASE_URL = "https://www.alphavantage.co/query" def __init__(self, api_key: str): super().__init__(api_key) + self.storage = DataStorage() + + def _save_raw_data(self, data, symbol: str, name: str): + if data is None: + return + + df = pd.DataFrame() + if isinstance(data, list): + df = pd.DataFrame(data) + elif isinstance(data, dict): + # For single-record JSON objects, convert to a DataFrame + df = pd.DataFrame([data]) + + if not df.empty: + self.storage.save_data(df, 'US', symbol, f"raw_{name}") def _fetch_data(self, function: str, symbol: str) -> pd.DataFrame: params = { @@ -15,73 +32,61 @@ class AlphaVantageFetcher(DataFetcher): "apikey": self.api_key } try: + time.sleep(15) response = requests.get(self.BASE_URL, params=params) data = response.json() except Exception as e: print(f"Error requesting {function}: {e}") return pd.DataFrame() - # Alpha Vantage returns keys like "annualReports" and "quarterlyReports" - # We need Last 10 Annual + Latest Quarterly - + if data: + self._save_raw_data(data.get("annualReports"), symbol, f"{function.lower()}_annual") + df_annual = pd.DataFrame() - df_quarterly = pd.DataFrame() - if "annualReports" in data: + if "annualReports" in data and data["annualReports"]: df_annual = pd.DataFrame(data["annualReports"]) if "fiscalDateEnding" in df_annual.columns: - df_annual = df_annual.sort_values("fiscalDateEnding", ascending=False).head(10) - - if "quarterlyReports" in data: - df_quarterly = pd.DataFrame(data["quarterlyReports"]) - if "fiscalDateEnding" in df_quarterly.columns: - df_quarterly = df_quarterly.sort_values("fiscalDateEnding", ascending=False).head(1) - - if df_annual.empty and df_quarterly.empty: - print(f"Error fetching {function} for {symbol}: {data.keys() if isinstance(data, dict) else data}") + df_annual = df_annual.sort_values("fiscalDateEnding", ascending=False) + else: + print(f"Error fetching {function} for {symbol}: {data}") return pd.DataFrame() - # Combine: Prioritize Annual Reports if dates match - # Logic: 10 Annuals + Latest Quarter IF it's newer. - # If we concat [df_annual, df_quarterly] and drop_duplicates(keep='first'), - # checking fiscalDateEnding: - # If Q-Date > A-Date: Q is kept (unique). - # If Q-Date == A-Date: A is kept (first). - combined = pd.concat([df_annual, df_quarterly]) - - if "fiscalDateEnding" in combined.columns: - combined = combined.drop_duplicates(subset=["fiscalDateEnding"], keep='first') - combined = combined.sort_values("fiscalDateEnding", ascending=False) - - return combined + return df_annual def get_market_metrics(self, symbol: str) -> dict: # 1. Get Overview for PE, PB, MarketCap, Employees overview_data = {} try: + time.sleep(15) params = {"function": "OVERVIEW", "symbol": symbol, "apikey": self.api_key} r = requests.get(self.BASE_URL, params=params) overview_data = r.json() + # Clean up 'None' strings from API response before processing + if isinstance(overview_data, dict): + for key, value in overview_data.items(): + if value == 'None': + overview_data[key] = None + self._save_raw_data(overview_data, symbol, "market_metrics_overview") except Exception as e: print(f"Error fetching OVERVIEW for {symbol}: {e}") - # 2. Get Global Quote for latest Price - price = 0.0 - try: - params = {"function": "GLOBAL_QUOTE", "symbol": symbol, "apikey": self.api_key} - r = requests.get(self.BASE_URL, params=params) - quote_data = r.json() - if "Global Quote" in quote_data and "05. price" in quote_data["Global Quote"]: - price = float(quote_data["Global Quote"]["05. price"]) - except Exception as e: - print(f"Error fetching GLOBAL_QUOTE for {symbol}: {e}") + market_cap = float(overview_data.get("MarketCapitalization") or 0) + shares_outstanding = float(overview_data.get("SharesOutstanding") or 0) + + price = 0 + if shares_outstanding > 0: + price = market_cap / shares_outstanding return { "price": price, - "market_cap": float(overview_data.get("MarketCapitalization", 0) or 0), - "pe": float(overview_data.get("PERatio", 0) or 0), - "pb": float(overview_data.get("PriceToBookRatio", 0) or 0), - "employee_count": int(overview_data.get("FullTimeEmployees", 0) or 0), + "name": overview_data.get("Name"), + "fiscal_year_end": overview_data.get("FiscalYearEnd"), + "dividend_yield": float(overview_data.get("DividendYield") or 0), + "market_cap": market_cap, + "pe": float(overview_data.get("PERatio") or 0), + "pb": float(overview_data.get("PriceToBookRatio") or 0), + "employee_count": int(float(overview_data.get("FullTimeEmployees") or 0)), "total_share_holders": 0 # Not typically provided in basic AV Overview } @@ -90,12 +95,25 @@ class AlphaVantageFetcher(DataFetcher): cols_map = { "fiscalDateEnding": "date", "totalRevenue": "revenue", - "netIncome": "net_income" + "netIncome": "net_income", + "grossProfit": "gross_profit", + "costOfRevenue": "cogs", + "researchAndDevelopment": "rd_exp", + "sellingGeneralAndAdministrative": "sga_exp", + "interestExpense": "fin_exp", + "incomeBeforeTax": "total_profit", + "incomeTaxExpense": "income_tax", + "ebit": "ebit" } df = df.rename(columns=cols_map) # Convert numeric columns for analysis, keep others as is - for col in ["revenue", "net_income"]: + numeric_cols = [ + "revenue", "net_income", "gross_profit", "cogs", "rd_exp", "sga_exp", + "fin_exp", "total_profit", "income_tax", "ebit", + "depreciation", "depreciationAndAmortization" + ] + for col in numeric_cols: if col in df.columns: df[col] = pd.to_numeric(df[col], errors='coerce') return df @@ -107,11 +125,32 @@ class AlphaVantageFetcher(DataFetcher): "totalShareholderEquity": "total_equity", "totalLiabilities": "total_liabilities", "totalCurrentAssets": "current_assets", - "totalCurrentLiabilities": "current_liabilities" + "totalCurrentLiabilities": "current_liabilities", + "cashAndCashEquivalentsAtCarryingValue": "cash", + "currentNetReceivables": "receivables", + "inventory": "inventory", + "propertyPlantEquipment": "fixed_assets", + "totalAssets": "total_assets", + "goodwill": "goodwill", + "longTermInvestments": "lt_invest", + "shortTermDebt": "short_term_debt", + "currentLongTermDebt": "short_term_debt_part", + "longTermDebt": "long_term_debt", + "currentAccountsPayable": "accounts_payable", + "otherCurrentAssets": "prepayment", + "otherNonCurrentAssets": "other_assets", + "deferredRevenue": "adv_receipts" } df = df.rename(columns=cols_map) - for col in ["total_equity", "total_liabilities", "current_assets", "current_liabilities"]: + numeric_cols = [ + "total_equity", "total_liabilities", "current_assets", "current_liabilities", + "cash", "receivables", "inventory", "fixed_assets", "total_assets", + "goodwill", "lt_invest", "short_term_debt", "short_term_debt_part", + "long_term_debt", "accounts_payable", "prepayment", "other_assets", "adv_receipts" + ] + + for col in numeric_cols: if col in df.columns: df[col] = pd.to_numeric(df[col], errors='coerce') return df @@ -120,11 +159,16 @@ class AlphaVantageFetcher(DataFetcher): df = self._fetch_data("CASH_FLOW", symbol) cols_map = { "fiscalDateEnding": "date", - "operatingCashflow": "net_cash_flow", + "operatingCashflow": "ocf", + "capitalExpenditures": "capex", + "dividendPayout": "dividends", "depreciationDepletionAndAmortization": "depreciation" } df = df.rename(columns=cols_map) - if "net_cash_flow" in df.columns: - df["net_cash_flow"] = pd.to_numeric(df["net_cash_flow"], errors='coerce') + numeric_cols = ["ocf", "capex", "dividends", "depreciation"] + for col in numeric_cols: + if col in df.columns: + df[col] = pd.to_numeric(df[col], errors='coerce') return df + diff --git a/src/fetchers/tushare_fetcher.py b/src/fetchers/tushare_fetcher.py index 2ea1508..035278b 100644 --- a/src/fetchers/tushare_fetcher.py +++ b/src/fetchers/tushare_fetcher.py @@ -2,12 +2,25 @@ import tushare as ts import pandas as pd from .base import DataFetcher import time +from storage.file_io import DataStorage class TushareFetcher(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 = 'CN' # Default + if '.HK' in symbol.upper(): + market = 'HK' + elif '.SZ' in symbol.upper() or '.SH' in symbol.upper(): + 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 @@ -59,7 +72,7 @@ class TushareFetcher(DataFetcher): # 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].head(10) + annual_records = df[is_annual] # 4. Combine combined = pd.concat([latest_record, comparable_record, annual_records]) @@ -76,6 +89,7 @@ class TushareFetcher(DataFetcher): 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 = { @@ -85,6 +99,7 @@ class TushareFetcher(DataFetcher): } 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', @@ -101,6 +116,7 @@ class TushareFetcher(DataFetcher): 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', @@ -111,6 +127,7 @@ class TushareFetcher(DataFetcher): } 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', @@ -128,8 +145,10 @@ class TushareFetcher(DataFetcher): 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._filter_data(df) @@ -155,6 +174,7 @@ class TushareFetcher(DataFetcher): # 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. @@ -183,6 +203,7 @@ class TushareFetcher(DataFetcher): # 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'] @@ -195,6 +216,7 @@ class TushareFetcher(DataFetcher): # 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: metrics["total_share_holders"] = int(df_holder.iloc[0].get('holder_num', 0) or 0) @@ -224,11 +246,13 @@ class TushareFetcher(DataFetcher): # 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: df_holder = df_holder.sort_values('end_date', ascending=False) diff --git a/src/reporting/__pycache__/base_generator.cpython-312.pyc b/src/reporting/__pycache__/base_generator.cpython-312.pyc new file mode 100644 index 0000000..d9bcaa6 Binary files /dev/null and b/src/reporting/__pycache__/base_generator.cpython-312.pyc differ diff --git a/src/reporting/__pycache__/cn_report_generator.cpython-312.pyc b/src/reporting/__pycache__/cn_report_generator.cpython-312.pyc new file mode 100644 index 0000000..6f52b23 Binary files /dev/null and b/src/reporting/__pycache__/cn_report_generator.cpython-312.pyc differ diff --git a/src/reporting/__pycache__/html_generator.cpython-312.pyc b/src/reporting/__pycache__/html_generator.cpython-312.pyc new file mode 100644 index 0000000..432087a Binary files /dev/null and b/src/reporting/__pycache__/html_generator.cpython-312.pyc differ diff --git a/src/reporting/__pycache__/html_generator.cpython-313.pyc b/src/reporting/__pycache__/html_generator.cpython-313.pyc index 5d75f92..5370c07 100644 Binary files a/src/reporting/__pycache__/html_generator.cpython-313.pyc and b/src/reporting/__pycache__/html_generator.cpython-313.pyc differ diff --git a/src/reporting/__pycache__/markdown_generator.cpython-312.pyc b/src/reporting/__pycache__/markdown_generator.cpython-312.pyc index 856984f..65fc124 100644 Binary files a/src/reporting/__pycache__/markdown_generator.cpython-312.pyc and b/src/reporting/__pycache__/markdown_generator.cpython-312.pyc differ diff --git a/src/reporting/__pycache__/markdown_generator.cpython-313.pyc b/src/reporting/__pycache__/markdown_generator.cpython-313.pyc index 2dc215c..ed182b6 100644 Binary files a/src/reporting/__pycache__/markdown_generator.cpython-313.pyc and b/src/reporting/__pycache__/markdown_generator.cpython-313.pyc differ diff --git a/src/reporting/__pycache__/us_report_generator.cpython-312.pyc b/src/reporting/__pycache__/us_report_generator.cpython-312.pyc new file mode 100644 index 0000000..0a641a0 Binary files /dev/null and b/src/reporting/__pycache__/us_report_generator.cpython-312.pyc differ diff --git a/src/reporting/base_generator.py b/src/reporting/base_generator.py new file mode 100644 index 0000000..1d1ff76 --- /dev/null +++ b/src/reporting/base_generator.py @@ -0,0 +1,88 @@ +from abc import ABC, abstractmethod +import pandas as pd +import numpy as np +import datetime + +class BaseReporter(ABC): + def __init__(self): + self.indicators = {} + + @abstractmethod + def generate_report(self, df_analysis, symbol, market, metrics, output_dir): + """ + Generates and saves financial reports in different formats (e.g., Markdown, HTML). + This method must be implemented by subclasses. + """ + pass + + def _generate_markdown_content(self, df: pd.DataFrame, market: str, symbol: str, metrics: dict = {}) -> str: + if df.empty: + return f"No breakdown data available for {market} {symbol}" + + df = self._preprocess_data(df, market) + headers = self._get_headers(df) + + md = [] + md.append(self._generate_md_company_info(symbol, metrics, market)) + md.append("\n") + + for group_name, items in self.indicators.items(): + md.append(f"## {group_name}") + + header_line = "| 指标 | " + " | ".join(headers) + " |" + md.append(header_line) + separator_line = "|" + "|".join([":---"] + ["--:"] * len(headers)) + "|" + md.append(separator_line) + + for key, label, fmt_type in items: + row_data = [label] + for _, row_series in df.iterrows(): + val = row_series.get(key) + row_data.append(self._format_value(val, fmt_type)) + md.append("| " + " | ".join(row_data) + " |") + md.append("\n") + + return "\n".join(md) + + def _format_value(self, val, fmt_type): + if pd.isna(val) or val is None: + return "-" + + disp_val = "" + if fmt_type == 'percent' or fmt_type.startswith('percent_'): + disp_val = f"{val:.2%}" + elif fmt_type == 'currency_yi_market': + val_yi = val / 100000000 + if abs(val_yi) > 1000: + disp_val = f"{val_yi:,.0f}" + else: + disp_val = f"{val_yi:,.2f}" + elif fmt_type.startswith('currency_yi'): + disp_val = f"{val/100000000:,.2f}" + elif fmt_type == 'currency_wan': + disp_val = f"{val/10000:,.2f}" + elif fmt_type == 'int' or fmt_type.startswith('int_'): + disp_val = f"{int(val):,}" + elif fmt_type == 'float' or fmt_type.startswith('float_'): + disp_val = f"{val:.2f}" + else: + disp_val = f"{val}" + return disp_val + + def _generate_md_company_info(self, symbol, metrics, market): + return "" # Implemented in subclasses + + def _preprocess_data(self, df, market): + # Default behavior: sort by date + df = df.sort_values('date_str', ascending=False) + return df + + def _get_headers(self, df): + headers = [] + for d in df['date_str']: + s = str(d) + if len(s) == 8: + headers.append(f"{s[:4]}-{s[4:6]}-{s[6:]}") + else: + headers.append(s) + return headers diff --git a/src/reporting/markdown_generator.py b/src/reporting/cn_report_generator.py similarity index 60% rename from src/reporting/markdown_generator.py rename to src/reporting/cn_report_generator.py index f3ab2b0..3250345 100644 --- a/src/reporting/markdown_generator.py +++ b/src/reporting/cn_report_generator.py @@ -1,29 +1,13 @@ +from .base_generator import BaseReporter import pandas as pd -import numpy as np +import datetime +import os +import markdown -class MarkdownReporter: - def generate_report(self, df: pd.DataFrame, market: str, symbol: str, metrics: dict = {}) -> str: - if df.empty: - return f"No breakdown data available for {market} {symbol}" - - df = df.sort_values('date_str', ascending=False) - - headers = [] - for d in df['date_str']: - s = str(d) - if len(s) == 8: - year = s[:4] - month = s[4:6] - if month == '12': - headers.append(year) - elif month in ['03', '01', '02']: headers.append(f"{year} Q1") - elif month in ['06', '04', '05']: headers.append(f"{year} Q2") - elif month in ['09', '07', '08']: headers.append(f"{year} Q3") - else: headers.append(f"{year} {month}") - else: - headers.append(s) - - indicators = { +class CN_ReportGenerator(BaseReporter): + def __init__(self): + super().__init__() + self.indicators = { "主要指标": [ ('ROE', 'ROE', 'percent'), ('ROA', 'ROA', 'percent'), @@ -45,6 +29,7 @@ class MarkdownReporter: "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'), @@ -88,10 +73,17 @@ class MarkdownReporter: ] } - md = [] + 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 - # --- Company Info Table --- - import datetime + 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', '') @@ -102,56 +94,46 @@ class MarkdownReporter: 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}% |") - md.append("\n") - - # --- Financial Data Table --- - for group_name, items in indicators.items(): - md.append(f"## {group_name}") - - # Table Header - header_line = "| 指标 | " + " | ".join(headers) + " |" - md.append(header_line) - # Table Separator - separator_line = "|" + "|".join([":---"] + ["--:"] * len(headers)) + "|" - md.append(separator_line) - - for key, label, fmt_type in items: - row_data = [label] - for idx, row_series in df.iterrows(): - val = row_series.get(key, np.nan) - - if pd.isna(val) or val is None: - row_data.append("-") - continue - - disp_val = "" - if fmt_type == 'percent' or fmt_type.startswith('percent_'): - disp_val = f"{val:.2%}" - elif fmt_type == 'currency_yi_market': - val_yi = val / 100000000 - if abs(val_yi) > 1000: - disp_val = f"{val_yi:,.0f}" - else: - disp_val = f"{val_yi:,.2f}" - elif fmt_type.startswith('currency_yi'): - disp_val = f"{val/100000000:,.2f}" - elif fmt_type == 'currency_wan': - disp_val = f"{val/10000:,.2f}" - elif fmt_type == 'int' or fmt_type.startswith('int_'): - disp_val = f"{int(val):,}" - elif fmt_type == 'float' or fmt_type.startswith('float_'): - disp_val = f"{val:.2f}" - else: - disp_val = f"{val}" - row_data.append(disp_val) - - md.append("| " + " | ".join(row_data) + " |") - md.append("\n") - 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""" + + + {symbol} Financial Report + + + + {html_content} + + + """ + 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}") diff --git a/src/reporting/html_generator.py b/src/reporting/html_generator.py deleted file mode 100644 index ae89495..0000000 --- a/src/reporting/html_generator.py +++ /dev/null @@ -1,254 +0,0 @@ -import pandas as pd -import numpy as np - -class HtmlReporter: - def generate_report(self, df: pd.DataFrame, market: str, symbol: str, metrics: dict = {}) -> str: - if df.empty: - return f"No breakdown data available for {market} {symbol}" - - # 1. Transpose Data for Presentation (Years as Columns) - # Ensure df is sorted desc by date - df = df.sort_values('date_str', ascending=False) - - # Prepare header (Years/Quarters) - # Format date_str: YYYYMMDD -> YYYY-MM-DD or 2025 Q3? - # Simple heuristic: if month is 03/06/09/12, map to Q. - # But for annuals, we just show Year. - # User said: "Latest year... check which quarter". - headers = [] - for d in df['date_str']: - s = str(d) - if len(s) == 8: - year = s[:4] - month = s[4:6] - if month == '12': - headers.append(year) - elif month in ['03', '01', '02']: headers.append(f"{year} Q1") - elif month in ['06', '04', '05']: headers.append(f"{year} Q2") - elif month in ['09', '07', '08']: headers.append(f"{year} Q3") - else: headers.append(f"{year} {month}") - else: - headers.append(s) # Fallback - - # 2. Define Indicator Groups and Labels - # Mapping: Internal Col Name -> Display Name - 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', 'currency_yi'), - ('RevenueGrowth', '收入增速', 'percent_color'), - ('net_income', '净利润', 'currency_yi'), - ('NetIncomeGrowth', '净利润增速', 'percent_color'), - ('ocf', '经营净现金流', 'currency_yi_color'), - ('Capex', '资本开支', 'currency_yi'), - ('FCF', '自由现金流', 'currency_yi_compare'), - # Dividends/Buybacks might be missing - ('dividends', '分红', 'currency_yi'), - ('total_assets', '总资产', 'currency_yi'), - ('total_equity', '净资产', 'currency_yi'), - ('goodwill', '商誉', 'currency_yi') - ], - "费用指标": [ - ('SellingRatio', '销售费用率', 'percent'), - ('AdminRatio', '管理费用率', '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'), # >90 Red - ('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'), - ] - } - - # 3. Build HTML - html = [] - html.append("Financial Report") - - # --- Company Info Table --- - import datetime - today_str = datetime.date.today().strftime("%Y-%m-%d") - name = metrics.get('name', '') - raw_list_date = metrics.get('list_date', '') - # Convert YYYYMMDD to YYYY-MM-DD if possible - 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) - - html.append("

Financial Report

") - html.append("") - html.append("") - html.append("") - html.append("") - html.append("") - html.append(f"") - html.append("") - html.append("
代码简称日期上市日期PEPB股息率(%)
{symbol}{name}{today_str}{list_date}{pe:.2f}{pb:.2f}{div:.2f}%
") - - html.append("
") - html.append("") - - # Header Row - html.append("") - for h in headers: - html.append(f"") - html.append("") - - html.append("") - - for group_name, items in indicators.items(): - # Group Header - html.append(f"") - - for key, label, fmt_type in items: - html.append("") - html.append(f"") - - for idx, row_series in df.iterrows(): - val = row_series.get(key, np.nan) - - if pd.isna(val) or val is None: - html.append("") - continue - - # Styling Logic - style_class = "" - disp_val = str(val) - - if key == 'OtherAssetsRatio': - style_class = 'bg-khaki' - - # Logic block - if fmt_type == 'percent': - disp_val = f"{val:.2%}" - # Conditional Specifics - if key == 'ROE' and val > 0.15: style_class = "bg-green" - elif key == 'ROA' and val > 0.10: style_class = "bg-green" - elif key == 'ROIC' and val > 0.15: style_class = "bg-green" - elif key == 'GrossMargin' and val > 0.35: style_class = "bg-green" - elif key == 'NetMargin': - if val > 0.15: style_class = "bg-green" - elif val < 0: style_class = "bg-red" - elif key == 'OperatingAssetsRatio' and val < 0: - style_class = 'bg-green' - - elif fmt_type == 'percent_color': # Revenue/Profit Growth - disp_val = f"{val:.2%}" - if val > 0.15: style_class = "bg-green italic" - elif val < 0: style_class = "text-red italic" - else: style_class = "text-blue-i" - - elif fmt_type == 'currency': - # Should not be used if everything moved to currency_yi, but keep for fallback - disp_val = f"{val:,.2f}" - - elif fmt_type == 'currency_yi': - # 1 Yi = 100,000,000 (10^8) - disp_val = f"{val/100000000:,.2f}" - - elif fmt_type == 'currency_yi_color': # OCF - disp_val = f"{val/100000000:,.2f}" - if val < 0: style_class = "bg-red" - - elif fmt_type == 'currency_yi_compare': # FCF - disp_val = f"{val/100000000:,.2f}" - # Compare to Net Income (need to access current row's net_income) - ni = row_series.get('net_income', 0) - if val > ni: style_class = "bg-green" - elif val < 0: style_class = "bg-red" - - elif fmt_type == 'currency_wan': # Per Employee - disp_val = f"{val/10000:,.2f}" - - elif fmt_type == 'currency_yi_market': # Market Cap - val_yi = val / 100000000 - if abs(val_yi) > 1000: - disp_val = f"{val_yi:,.0f}" - else: - disp_val = f"{val_yi:,.2f}" - - elif fmt_type == 'int': - disp_val = f"{int(val):,}" - - elif fmt_type == 'float': - disp_val = f"{val:.2f}" - - # Special Alerts - if fmt_type == 'percent_alert_30': - disp_val = f"{val:.2%}" - if val > 0.30: style_class = "bg-red" - - if fmt_type == 'float_alert_90': - disp_val = f"{val:.2f}" - if val > 90: style_class = "bg-red" - - if fmt_type == 'int_alert_90': - disp_val = f"{int(val):,}" - if val > 90: style_class = "bg-red" - - html.append(f"") - html.append("") - - html.append("
指标{h}
{group_name}
{label}-{disp_val}
") - return "\n".join(html) diff --git a/src/reporting/us_report_generator.py b/src/reporting/us_report_generator.py new file mode 100644 index 0000000..34c101d --- /dev/null +++ b/src/reporting/us_report_generator.py @@ -0,0 +1,109 @@ +from .base_generator import BaseReporter +import datetime +import os +import markdown + +class US_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": [ + ('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'), + ] + } + + def _generate_md_company_info(self, symbol, metrics, market): + today_str = datetime.date.today().strftime("%Y-%m-%d") + name = metrics.get('name', '') + fiscal_year_end = metrics.get('fiscal_year_end', '') + pe = metrics.get('pe', 0) + pb = metrics.get('pb', 0) + div_yield = metrics.get('dividend_yield', 0) * 100 + + md = [] + md.append(f"# {name} ({symbol}) - Financial Report") + md.append(f"*Report generated on: {today_str}*\n") + md.append("| 代码 | 简称 | 财报日期 | PE | PB | 股息率(%) |") + md.append("|:---|:---|:---|:---|:---|:---|") + md.append(f"| {symbol} | {name} | {fiscal_year_end} | {pe:.2f} | {pb:.2f} | {div_yield:.2f}% |") + 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""" + + + {symbol} Financial Report + + + + {html_content} + + + """ + 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}") diff --git a/src/strategies/__init__.py b/src/strategies/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/strategies/__pycache__/__init__.cpython-312.pyc b/src/strategies/__pycache__/__init__.cpython-312.pyc new file mode 100644 index 0000000..d601f88 Binary files /dev/null and b/src/strategies/__pycache__/__init__.cpython-312.pyc differ diff --git a/src/strategies/__pycache__/base_strategy.cpython-312.pyc b/src/strategies/__pycache__/base_strategy.cpython-312.pyc new file mode 100644 index 0000000..e9ef8bd Binary files /dev/null and b/src/strategies/__pycache__/base_strategy.cpython-312.pyc differ diff --git a/src/strategies/__pycache__/cn_strategy.cpython-312.pyc b/src/strategies/__pycache__/cn_strategy.cpython-312.pyc new file mode 100644 index 0000000..ddfa6e7 Binary files /dev/null and b/src/strategies/__pycache__/cn_strategy.cpython-312.pyc differ diff --git a/src/strategies/__pycache__/us_strategy.cpython-312.pyc b/src/strategies/__pycache__/us_strategy.cpython-312.pyc new file mode 100644 index 0000000..dc1eb91 Binary files /dev/null and b/src/strategies/__pycache__/us_strategy.cpython-312.pyc differ diff --git a/src/strategies/base_strategy.py b/src/strategies/base_strategy.py new file mode 100644 index 0000000..e65496a --- /dev/null +++ b/src/strategies/base_strategy.py @@ -0,0 +1,23 @@ +# src/strategies/base_strategy.py +from abc import ABC, abstractmethod + +class BaseStrategy(ABC): + def __init__(self, stock_code): + self.stock_code = stock_code + + def execute(self): + self.fetch_data() + self.analyze_data() + self.generate_report() + + @abstractmethod + def fetch_data(self): + pass + + @abstractmethod + def analyze_data(self): + pass + + @abstractmethod + def generate_report(self): + pass diff --git a/src/strategies/cn_strategy.py b/src/strategies/cn_strategy.py new file mode 100644 index 0000000..f4d5825 --- /dev/null +++ b/src/strategies/cn_strategy.py @@ -0,0 +1,51 @@ +from .base_strategy import BaseStrategy +from fetchers.factory import FetcherFactory +from analysis.cn_analyzer import CN_Analyzer +from reporting.cn_report_generator import CN_ReportGenerator +from storage.file_io import DataStorage +import os + +class CN_Strategy(BaseStrategy): + def __init__(self, stock_code, tushare_token): + super().__init__(stock_code) + self.tushare_token = tushare_token + self.fetcher = FetcherFactory.get_fetcher('CN', self.tushare_token) + self.analyzer = CN_Analyzer() + self.reporter = CN_ReportGenerator() + self.storage = DataStorage() + self.raw_data = {} + self.analysis_result = None + + def fetch_data(self): + print(f"Fetching data for CN 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) + + 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") + + def analyze_data(self): + print(f"Analyzing data for CN 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 CN market, stock: {self.stock_code}") + if self.analysis_result is not None and not self.analysis_result.empty: + output_dir = os.path.join("data", 'CN', self.stock_code) + self.reporter.generate_report( + df_analysis=self.analysis_result, + symbol=self.stock_code, + market='CN', + metrics=self.raw_data['metrics'], + output_dir=output_dir + ) + else: + print("No analysis result to generate report.") diff --git a/src/strategies/us_strategy.py b/src/strategies/us_strategy.py new file mode 100644 index 0000000..3c8f436 --- /dev/null +++ b/src/strategies/us_strategy.py @@ -0,0 +1,51 @@ +from .base_strategy import BaseStrategy +from fetchers.factory import FetcherFactory +from analysis.us_analyzer import US_Analyzer +from reporting.us_report_generator import US_ReportGenerator +from storage.file_io import DataStorage +import os + +class US_Strategy(BaseStrategy): + def __init__(self, stock_code, av_key): + super().__init__(stock_code) + self.av_key = av_key + self.fetcher = FetcherFactory.get_fetcher('US', av_key=self.av_key) + self.analyzer = US_Analyzer() + self.reporter = US_ReportGenerator() + self.storage = DataStorage() + self.raw_data = {} + self.analysis_result = None + + def fetch_data(self): + print(f"Fetching data for US 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) + + 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}") + 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 US market, stock: {self.stock_code}") + if self.analysis_result is not None and not self.analysis_result.empty: + output_dir = os.path.join("data", 'US', self.stock_code) + self.reporter.generate_report( + df_analysis=self.analysis_result, + symbol=self.stock_code, + market='US', + metrics=self.raw_data['metrics'], + output_dir=output_dir + ) + else: + print("No analysis result to generate report.")