Background
Background
Background

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

85k
Companies *
530+
Data fields
15
Regional datasets delivered daily
17
years of history

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



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