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FMP Adds Diluted P/E and PEG Fields to Financial Ratios APIs

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·1 min read
Platform Essentials

FMP has added diluted price-to-earnings and price/earnings-to-growth fields to its Financial Ratios APIs. Released on July 30, 2026, the additions provide P/E and PEG measures calculated on a fully diluted earnings-per-share basis. They are available through both the Financial Ratios API and the Financial Ratios TTM API.

New Fields in Ratios and Ratios TTM

The field names identify both the valuation measure and its diluted earnings basis:

Endpoint

Measure

Field

Financial Ratios

Diluted P/E

priceToEarningsDilutedRatio

Financial Ratios

Diluted PEG

priceToEarningsDilutedGrowthRatio

Financial Ratios TTM

Diluted P/E, trailing twelve months

priceToEarningsDilutedRatioTTM

Financial Ratios TTM

Diluted PEG, trailing twelve months

priceToEarningsDilutedGrowthRatioTTM

The TTM endpoint uses the corresponding fields with a TTM suffix. This gives developers an explicit mapping when incorporating the measures into applications, spreadsheets, or valuation tables.

Make the Earnings Basis Visible

The earnings basis is an important part of interpreting a valuation ratio. A table that labels every measure simply as “P/E” can obscure which earnings definition underlies each value. The new fields allow users to select and label the diluted measures directly.

For analysts, that supports more deliberate comparisons between companies and datasets. For developers, it provides clearly named fields to map into interfaces and calculations. Carrying those distinctions into display labels helps users understand which metric they are reviewing.

The July 30 financial ratios release note documents all four additions. Users can review their existing ratio mappings and add the diluted fields where that earnings basis fits their analysis.

About the Author

Amy Lyons
Amy Lyons

Editorial strategy for financial data platforms and APIs

Amy Lyons leads content strategy at FMP, focusing on how financial data is structured, communicated, and translated into clear, usable insights. She builds editorial frameworks that connect product capabilities to real-world workflows. Her work focuses on supporting consistent, high-quality analysis across developer and analyst use cases.

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