Financial applications that need investment research data - portfolio tools, screeners, robo-advisors, fintech dashboards, ESG reporting products - typically need Morningstar-quality data: institutional-grade, comprehensive, and reliable. The Morningstar API on RapidAPI gives you that data in a developer-friendly format without a direct Morningstar enterprise contract.
What the Morningstar API covers
Real-time quotes - current price, volume, day range, 52-week range, and market cap for equities, ETFs, and funds.
Financial statements - income statement, balance sheet, and cash flow statement. Quarterly and annual data, typically covering 5+ years of history.
ESG Risk Ratings - Morningstar/Sustainalytics ESG risk scores per security and fund. Useful for ESG-screened portfolio products, SRI reporting, and institutional compliance workflows.
ETF and fund data - holdings, expense ratios, category classification, performance data, and Morningstar star ratings.
Valuation metrics - P/E, P/B, P/S, EV/EBITDA, and other multiples.
Earnings transcripts - text of earnings call transcripts, useful for NLP-based earnings sentiment products.
Ownership data - institutional holder list with share counts and change-in-position data.
Dividend history - dividend amounts and payment dates per security.
Use cases
Investment screener - filter a universe of equities or funds by fundamental metrics (P/E band, debt-to-equity, revenue growth), ESG score, and Morningstar category. The API provides the underlying data; your product handles the screening logic and display.
Portfolio analysis tool - enrich a user’s portfolio with live quotes, fundamental data, and ESG scores. Show sector exposure, performance attribution, and sustainability metrics in one view.
ESG reporting - pull ESG risk scores for a set of securities and generate a portfolio-level sustainability report. Increasingly required by institutional investors and required by regulation in some jurisdictions.
Robo-advisor data layer - feed a rules-based portfolio construction system with the financial and ESG data it needs to select, rebalance, and report on portfolio positions.
Financial content platform - enrich editorial content (stock analysis articles, fund comparisons) with live data pulled at read time.
Research automation - automate the data collection step in equity research workflows. Pull statements and transcripts on earnings schedule rather than copying from the platform manually.