
Data requests
served monthly
Comprehensive coverage across
50+ global exchanges
No complex APIs, just a simple,
familiar syntax
From 1990 to today. Clean,
structured, and reliable




















Query exactly the data build powerful screeners and other applications only possible via SQL queries.
SELECT ticker, revenue, net_income
FROM income_statements
WHERE revenue > 100000000000
ORDER BY revenue DESC;Revenue growth, P/E, ROIC, margins, and hundreds more, pre-computed and instantly filterable.

Sector, industry, employee count, exchange listings, and more.

Income statements, balance sheets, and cash flow statements all clean and normalized across 50,000+ stocks.

50+ global exchanges, 50K+ equities and 400M+ data points served monthly.

We send you credentials. You connect using your favorite SQL client or BI tool.
Filter for companies, metrics, or time periods with simple queries like:
Use the data to power apps, platforms, reports, bots, or internal tools.
SELECT date, revenue, grossProfit, operatingIncome, netIncome, EPS, costOfRevenue, operatingExpenses
FROM annual_income_statement
WHERE symbol = 'AAPL'
ORDER BY date DESC
LIMIT 8;| ID | Ticker | Date | Revenue | Gross Profit | Operating Income | Net Income | EPS | Cost of Revenue | Operating Expenses |
|---|---|---|---|---|---|---|---|---|---|
| 1 | AAPL | 2024-09-28 | 391.0B | 180.7B | 123.2B | 93.7B | 6.11 | 210.4B | 57.5B |
| 2 | AAPL | 2023-09-30 | 383.3B | 169.1B | 114.3B | 97.0B | 6.16 | 214.1B | 54.8B |
| 3 | AAPL | 2022-09-24 | 394.3B | 170.8B | 119.4B | 99.8B | 6.15 | 223.5B | 51.6B |
| 4 | AAPL | 2021-09-25 | 365.8B | 152.8B | 108.9B | 94.7B | 5.67 | 213.0B | 43.8B |
| 5 | AAPL | 2020-09-26 | 274.5B | 105.0B | 66.3B | 57.4B | 3.31 | 169.6B | 38.8B |
| 6 | AAPL | 2019-09-28 | 260.2B | 98.4B | 63.9B | 55.3B | 2.99 | 161.8B | 34.0B |
| 7 | AAPL | 2018-09-29 | 265.6B | 101.8B | 70.9B | 59.5B | 3.00 | 163.8B | 31.4B |
| 8 | AAPL | 2017-09-30 | 229.2B | 88.2B | 61.3B | 48.4B | 2.32 | 141.0B | 27.0B |
Run advanced filters on valuation, fundamentals, or price data.

Feed clean historical and live financials into trading systems.

Build internal tools or public-facing dashboards in minutes.

Power your Reddit bot, newsletter, or Substack with fresh financials.

Built around your data coverage, usage, and access needs.
Direct access to SQL database
30+ years of historical financial data
Financial statements, key metrics, and ratios
Global stocks and ETFs coverage
Bulk querying and exports
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