Alternative data datasets
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SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
Quarterly, annual and TTM financials with XBRL provenance and amendment signals
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A static tabular extension of the Bose345/sp500_earnings_transcripts collection covering the same 2005 to 2025 calendar of S&P 500 earnings events, where each row represents a single company-quarter call identified by a stable episode_id and bundles the full transcript along with related SEC press materials and pre-event inputs suitable for supervised learning or reinforcement-style experimentation.
Quantitative financial fundamentals along with associated key performance indicators.
Well-by-well oil and gas output figures widely used for energy fundamentals research.
Merges traditional financial fundamentals with alternative data and detailed sector information for approximately 6,000 major corporations.
Structured line items from SEC 10-K and 10-Q filings between 2009 and 2023, plus company facts, fundamentals extracted straight from EDGAR.
Stocks Quarterly Earnings This dataset includes quarterly earnings report data for various stocks. 355,371 rows over 6,406 symbols, 8 columns, covering 1996-01-31 to 2026-07-31. Refreshed monthly. Strategies Built on This Data 490 papers in the Papers With Backtest catalogue declare this dataset as an input. 456 of them have been coded and run over their own full history. The median replicated Sha
S&P 500 earnings call episodes from 2005 to 2025 are released as static tabular rows, each identified by a company-quarter episode identifier and containing full transcripts along with SEC press materials, suited to supervised or reinforcement-style experiments.
Normalized financial statements drawn from the SEC Financial Statement Data Sets and company-facts services, both built on the EDGAR APIs and spanning reported results across filers.
10-K annual filings from EDGAR in Parquet, tens of thousands of documents. The standard annual-disclosure corpus for fundamentals, risk-factor and management-discussion analysis.
Essential energy sector fundamentals suited for quantitative analysis and modeling work.