Public Company Financial Data

This sample dataset includes core financial metrics from 29k quarterly reports and 7.6k U.S. public companies in 2022. The full dataset contains 450k+ quarterly reports from 15k+ companies since 2009 and refreshes daily.

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Historical financial performance of public companies is publicly available, but buried in verbose SEC filings, clunky user interfaces, and complicated APIs. This dataset provides an easy way to access and analyze that information with minimal preprocessing.

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Use cases:

- Screen stocks for investing
- Analyze market trends by industry and geography
- Train machine learning models to predict company performance

本示例数据集涵盖2022年来自2.9万份季度报告与7600家美国上市公司的核心财务指标。完整数据集包含自2009年起来自1.5万余家公司的45万余份季度报告，且每日更新。

上市公司的历史经营财务数据虽可公开获取，却散落在冗长的美国证券交易委员会（Securities and Exchange Commission）备案文件、操作繁琐的用户界面与复杂的应用程序编程接口（Application Programming Interface，API）之中。本数据集为用户提供了便捷途径，可在仅需少量预处理的前提下获取并分析此类信息。

应用场景包括：
- 筛选投资标的股票
- 按行业与地域维度分析市场趋势
- 训练机器学习模型以预测企业经营业绩

搜集汇总

背景与挑战

背景概述

该数据集涵盖2009年以来15,000余家美国上市公司的45万份季度财务报告，每日更新，提供经预处理的标准化财务指标。适用于股票筛选、行业趋势分析及企业绩效预测模型训练等场景。