SEC EDGAR Financials — official XBRL Company Facts API, no login

Pull structured financial data — revenue, total assets, net income, EPS, stockholders' equity, and 500+ other reported figures — for any U.S. public company, straight from SEC's own official XBRL Company Facts API (data.sec.gov). This is the same machine-readable data behind SEC's XBRL viewer, already tagged and time-stamped by the company's own filings — no PDF parsing, no HTML scraping, no proxies.

Government public data: SEC's Fair Access Policy states "Anyone can access and download this information for free" (source: sec.gov/os/webmaster-faq, checked 2026-09-02, same policy as this publisher's SEC EDGAR Filings Lookup actor). This actor follows SEC's published rules: it identifies itself with a declared User-Agent and stays well under the 10 requests/second limit — no bot-detection evasion of any kind.

Tested (2026-09-03)

Target	Result
AAPL	503 us-gaap concepts available (Revenues, Assets, NetIncomeLoss, ...)
AAPL:Revenues	full time series returned — 10-K and 10-Q values back to 2016
Nonexistent CIK	404, empty result, no error

Input

{
  "targets": ["AAPL:Revenues,Assets,NetIncomeLoss,EarningsPerShareDiluted"],
  "maxItems": 500
}

Each target is a ticker symbol or CIK number. Add :CONCEPT1,CONCEPT2 after the ticker to filter to specific XBRL tags (exact us-gaap tag names, e.g. Revenues, Assets, NetIncomeLoss, EarningsPerShareDiluted, StockholdersEquity, CashAndCashEquivalentsAtCarryingValue). Omit the filter to get every reported concept for that company (several hundred — use maxItems to cap the run).

Output

One dataset item per (concept, period) data point:

Field
concept	XBRL tag name (e.g. Revenues, Assets)
label	human-readable label for the concept
value	the reported number
unit	unit of measure (usually USD, sometimes shares or a ratio)
period_start / period_end	the period this value covers (or as-of date for balance-sheet items)
fiscal_year / fiscal_period	the company's own fiscal year/quarter label
form	the filing this value came from (10-K, 10-Q, etc.)
filed	date the underlying filing was submitted
accession_number	SEC's unique filing ID for traceability back to the source document
cik / entity_name / ticker	company identifiers

No personal data: these are corporate financial figures, not individual transactions or people.

Why this over SEC's own viewer or scraping filings

SEC's XBRL viewer shows one company, one filing at a time in a browser. Parsing the figures yourself out of 10-K/10-Q PDFs or HTML is slow and error-prone. This actor reads the same structured data SEC already publishes for machines and hands back clean rows — ready for a spreadsheet, a database, or an LLM/analytics pipeline.

Use Cases

• Financial trend analysis: pull years of revenue, income, or margin data for one company without opening a single filing
• Portfolio screening: batch-pull the same metric (e.g. NetIncomeLoss) across multiple tickers for comparison
• Investor due-diligence pipelines: feed structured financials directly into a valuation model or dashboard
• LLM/RAG financial data feeds: give an analysis agent clean, sourced financial facts instead of raw filing text

Pricing

Pay per event: $2.00 per 1,000 financial data points collected. Nothing else.