Financial Modeling Prep (FMP) vs Fiscal.ai comparison

Both platforms cover Screeners, Data APIs, News, Calendar, Dividends, Splits, Financials, Valuation Models, ETF Overview, ETF Holdings, ETF Fundamentals, Analyst Forecasts, Analyst Recommendations, Analyst Price Targets, Transcripts, 13F, Insider Data, Institutional Data, and APIs & SDKs workflows, so you can research those use cases in either tool before digging into the feature differences below.

Both Financial Modeling Prep (FMP) and Fiscal.ai keep freemium access with optional paid upgrades, so you can trial each platform before committing.

Both Financial Modeling Prep (FMP) and Fiscal.ai prioritize web or desktop access. Investors wanting a mobile-first workflow may need to rely on responsive web views.

Financial Modeling Prep (FMP) differentiates itself with Multi‑asset data coverage via a single API: equities, ETFs, mutual funds, indexes, forex, crypto, commodities, macroeconomic indicators, ESG and ownership datasets, organized into Market Data, Fundamental & Company Data, News & Calendar Data, Advanced Data, Ownership and Other Markets., Real‑time quotes plus intraday (1‑minute, 5‑minute, 30‑minute, 1‑hour) and end‑of‑day historical bars for stocks and other assets; Premium and Ultimate tiers add intraday chart endpoints, technical indicators and up to 30+ years of history, with Ultimate including 1‑minute intraday charting and full historical access., and Fundamental statement APIs with audited, standardized and as‑reported income statements, balance sheets and cash‑flow statements (annual, quarterly and TTM), plus key metrics, ratios, financial scores, enterprise values and product/geographic segment revenue breakdowns., whereas Fiscal.ai stands out for Modern web-based research terminal with dashboards, customizable watchlists, portfolio stats, and fundamental charting for 100,000+ global stocks, ETFs, and funds., Deep fundamental coverage: 10–20+ years of annual and 6–40+ quarters of quarterly financials by plan, with ratios, common-size statements, and adjusted metrics., and Rich segment & KPI database across ~2,300 large-cap names, including company-specific business KPIs that are hard to aggregate manually..