Create sound investment strategies with point-in-time historical data
Built for research
Consistent and comprehensive data on a broad universe of companies, thoughtfully structured to support quantitative investment research activities such as factor-based strategy construction and backtesting and training and testing machine learning models.
Easy to integrate
Efficiently onboard and ingest data via ongoing Parquet datasets and history Parquet cubes. Identifiers like Bloomberg Company ID, FIGI and Fundamental Ticker make it easy to join the dataset to other Bloomberg data and third-party datasets.
Accurate & timely
Standardized fundamentals data you can trust, delivered at top speed. Data for more than 5,000 companies in the major world indices are updated the same day their earnings are released; new data for other global companies are processed within 24 hours of filing.
Extensive historical data, organized for complex analysis
Optimized for quantitative research
Built-in LTM views
Last Twelve Months (LTM) views and as-reported formats, standardized across industry sectors, are provided for all company actuals, consensus estimates and company guidance fields, eliminating the need to create your own LTM views.
Earnings surprise analysis
Improve the accuracy of your earnings surprise analysis using Bloomberg’s proprietary comparable fields, which align with consensus estimates and company guidance forecasts.
Daily snapshots
Daily snapshots for every active public company across the global universe, featuring the latest reported fiscal period data, latest annual data and LTM data, are delivered at the end of each day.
Flexible delivery
Bloomberg’s data is second to none. Learn more about the types of data we provide.