
Data requests
served monthly
Comprehensive coverage across
50+ global exchanges
No complex APIs - just 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 — clean and normalized across 50,000+ stocks.

50+ global exchanges, 50K+ equities, 130M+ 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.

Direct access to SQL database
30 Year of historical financial data
All financial statements and key metrics
Covering 50+ stock exchanges
Dedicated slack channel support
Commercial use license
Company profile data
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