📈 US Stocks Fundamental Analysis (NYSE & NASDAQ Screener)

Get the top 300 largest companies of each US exchange (NYSE & NASDAQ, ranked by market cap) in a single query, with every key fundamental already calculated - P/E, P/B, P/S, EV/EBITDA, ROE, ROIC, margins, dividend yield, payout, debt/equity and more. On top of the raw data, each stock is enriched with Graham and Bazin fair value and the upside vs. the current price.

🎯 One call, the large caps. No need to loop ticker by ticker - pull the 300 biggest names per exchange at once and filter/sort in your spreadsheet or database.

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What you get (per stock)

Group	Fields
Identification	symbol, name, exchange, price, marketCap, volume
Valuation	peRatio, pbRatio, psRatio, evToEbitda, earningsYieldPct
Per share	eps, bookValuePerShare, dividendPerShare, fcfPerShare
Profitability	roe, roic, roa, profitMargin, grossMargin, operatingMargin
Dividends	dividendYield, payoutRatio
Health & size	debtToEquity, currentRatio, revenue, netIncome, sharesOut, beta
Fair value (computed)	grahamFairValue, grahamUpsidePct, grahamNumber, grahamQualifies, bazinFairValue, bazinUpsidePct

The fair-value fields are computed by this Actor (the source does not provide them):

• Graham fair value = √(22.5 × EPS × Book Value/Share)
• Bazin ceiling price = Dividend/Share ÷ target yield (default 6%)
• Upside % = (fair value / price − 1) × 100

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How to use

Leave empty to pull the top 300 of each exchange (NYSE + NASDAQ), or filter by tickers:

{ "tickers": ["TSM", "JPM"] }

• tickers: optional filter (e.g. AAPL, MSFT), applied within the top 300 of each exchange; empty = all

Export the dataset as JSON, CSV or Excel, or call the real-time Standby API (POST /screen).

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Example output

One record per stock, sorted by market cap (largest first):

[
  {
    "symbol": "TSM",
    "name": "Taiwan Semiconductor Manufacturing Company Limited",
    "exchange": "NYSE",
    "price": 423.16,
    "marketCap": 1890210051627,
    "volume": 13189036,
    "peRatio": 31.67,
    "pbRatio": 10.19,
    "psRatio": 14.73,
    "evToEbitda": 20.37,
    "earningsYieldPct": 3.16,
    "eps": 11.51,
    "bookValuePerShare": 7.1,
    "dividendPerShare": 2.64,
    "fcfPerShare": 1.29,
    "roe": 36.21,
    "roic": 51.6,
    "roa": 17.32,
    "profitMargin": 46.5,
    "grossMargin": 61.87,
    "operatingMargin": 53.33,
    "dividendYield": 0.62,
    "payoutRatio": 22.91,
    "debtToEquity": 0.18,
    "currentRatio": 2.49,
    "revenue": 128327204972,
    "netIncome": 59678536449,
    "sharesOut": 25932370000,
    "beta": 1.26,
    "grahamFairValue": 42.89,
    "grahamUpsidePct": -89.87,
    "grahamNumber": 322.74,
    "grahamQualifies": false,
    "bazinFairValue": 43.93,
    "bazinUpsidePct": -89.62
  }
]

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FAQ

Where does the data come from? Consolidated public market data, refreshed on each query.

Are the percentages already in percent? Yes - e.g. roe: 36.21 means 36.21%.

How is "fair value" computed? Classic Benjamin Graham and Décio Bazin formulas (see above). grahamQualifies is true when P/E × P/B < 22.5.

Can I call it in real time? Yes. The Standby endpoint POST /screen responds synchronously.

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🔌 API integration

Batch run:

curl -X POST "https://api.apify.com/v2/acts/acme-ai~us-stocks-fundamental-analysis/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"tickers":["TSM","JPM"]}'

Standby (POST /screen):

curl -X POST "https://acme-ai--us-stocks-fundamental-analysis.apify.actor/screen" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  --compressed \
  -d '{"tickers":["TSM","JPM"]}'

The token goes in the Authorization: Bearer header, never in the URL.

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Notes

Fundamental data is provided for informational purposes only and is not investment advice. Always verify figures before making decisions.