Every Input Your Valuation Model Needs

Build rigorous company valuations faster — access full financial statements, pre-computed DCF models, key valuation ratios, analyst estimates, and earnings data across thousands of global companies through a single API.

Income, balance sheet, cash flow

Financial Statements

Standardised annual and quarterly income statements, balance sheets, and cash flow statements — including TTM figures, as-reported formats, and growth rates for building and stress-testing financial models.

DCF, levered DCF, owner earnings

DCF & Valuation Models

Pre-built discounted cash flow valuations, levered DCF models, historical DCF series, and Buffett-style owner earnings calculations — ready to use directly or as a cross-check on your own models.

What you can build

Company valuation workflows powered by FMP.

Financial statement modelling

Annual and quarterly statements with growth rates and TTM figures — structured for direct input into three-statement models and scenario analysis.

Pre-built DCF access

Retrieve FMP's own DCF and levered DCF valuations as a benchmark or starting point, alongside historical valuation series to track how intrinsic value has evolved.

Valuation multiples

P/E, EV/EBITDA, P/B, P/FCF, and other key multiples across the full equity universe for comparable company analysis and sector benchmarking.

Analyst estimates & consensus

Forward revenue, EPS, and EBITDA estimates alongside analyst price targets and ratings to calibrate assumptions and sense-check model outputs.

The Full Valuation Data Stack

Financial statements normalised across global companies and reporting standards — reducing the manual work of building comparable financial models.

Globally standardised

Historical financial data and pre-computed valuation metrics updated regularly to keep models current through earnings cycles.

Updated through earnings

From first-pass screening to detailed DCF modelling, FMP provides every financial input an analyst needs — standardised, updated, and accessible programmatically.