US Company Financials API - Revenue, EPS & Cash Flow (SEC XBRL)

Clean quarterly and annual financials for any US stock, straight from the numbers companies file with the SEC.

Data	Official SEC XBRL financial data (10-K and 10-Q filings)
Price	$2 per 1,000 company periods, no subscription. Apify's free plan credit covers a first test.
Freshness	Updated as soon as a company files its 10-Q or 10-K
Try it	The input is pre-filled with a working example: just click Start.

Example output

Ticker	Period	Revenue	Rev. YoY	Op. margin	EPS	Free cash flow
XYZ	Q2 2026	$12.4B	+18.2%	31.5%	$1.42	$3.1B
XYZ	Q1 2026	$11.9B	+15.0%	30.2%	$1.31	$2.7B

Illustrative rows; real runs return the full fields listed under Output.

Revenue, margins, earnings per share, free cash flow, buybacks, dividends, cash and debt for every quarter and year, with year-over-year growth already calculated. The data comes from SEC XBRL filings, the same numbers in the company's 10-Q and 10-K, so there is no scraping of finance websites and no API key to buy.

What you can do with it

• 📈 Growth screens: revenue and EPS growth year over year, every quarter.
• 💵 Quality checks: margins, free cash flow and debt before you buy.
• 🔁 Shareholder returns: buybacks and dividends paid each quarter, the company as its own smart-money buyer.
• 🤖 Models and AI agents: clean, typed numbers ready for pandas, Sheets or an LLM.

Why it is cleaner than raw XBRL

• Real quarters. Companies report cash flows year-to-date in 10-Qs and only show Q4 inside the annual report. This Actor turns those into true single quarters, and lists which fields were derived in derivedFromYearToDate.
• Restatements applied. When a later filing revises a number, the newest value is used.
• Concept mapping. Revenue alone has several XBRL tags across years and companies; each metric tries the common ones and SUMMARY.conceptsUsed shows which were used.

How to use it

Last 8 quarters

{ "tickers": ["AAPL", "MSFT", "NVDA"] }

Five years of annual results

{ "tickers": ["COST", "WMT"], "periodType": "annual", "periods": 5 }

Output

One row per company per period, newest first:

{
  "ticker": "XYZ",
  "companyName": "XYZ CORP",
  "periodType": "quarter",
  "fiscalYear": 2026,
  "fiscalPeriod": "Q2",
  "periodStart": "2026-04-01",
  "periodEnd": "2026-06-30",
  "revenue": 12400000000,
  "grossProfit": 5900000000,
  "operatingIncome": 3900000000,
  "netIncome": 3200000000,
  "epsDiluted": 1.42,
  "operatingCashFlow": 4200000000,
  "capitalExpenditure": 1100000000,
  "freeCashFlow": 3100000000,
  "shareBuybacks": 2500000000,
  "dividendsPaid": 600000000,
  "cash": 18000000000,
  "longTermDebt": 9000000000,
  "grossMargin": 47.58,
  "operatingMargin": 31.45,
  "netMargin": 25.81,
  "revenueGrowthYoY": 18.2,
  "epsGrowthYoY": 21.4,
  "derivedFromYearToDate": ["operatingCashFlow", "capitalExpenditure"]
}

Values are in the filing currency (USD for US companies). Margins and growth are percentages. Fields a company does not report are null.

Use it from code or an AI agent

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("smartmoney-data/us-company-financials").call(run_input={"tickers": ["AAPL", "MSFT", "NVDA"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

AI agents (Claude, ChatGPT, Cursor and other MCP clients): connect the Apify MCP server with this Actor preloaded:

https://mcp.apify.com/?tools=smartmoney-data/us-company-financials

Add this URL as a remote MCP server or custom connector in your AI client, sign in with Apify (OAuth), then just ask, for example:

Compare revenue growth and operating margins for AAPL, MSFT and NVDA over the last 8 quarters.

Part of the SmartMoney Data suite: Insider Trades · Institutional Ownership · Hedge Fund 13F · 8-K Material Events · Red Flag Radar

Pricing

Pay per result: you're charged for each company period returned. See the Pricing tab for current rates.

FAQ

Which companies are covered? Any company that files 10-Qs and 10-Ks with XBRL data, which is nearly every US-listed operating company. Funds and foreign companies that only file 20-F or 6-K may have little or no data; they are listed in SUMMARY.sourceErrors.

Why is a field null? The company did not tag that line in its filing (banks, for example, have no "gross profit"). The Actor never guesses a value.

How is this different from Yahoo Finance scrapers? The numbers come from the official filings, not a scraped website, so they do not break when a page changes and they show restatements.

Support

Found a bug or need a feature? Open an issue on the Issues tab or email smartmoney-data@googlegroups.com.

Data is provided for informational purposes only and is not investment advice.