Apple Inc. (AAPL) Key Metrics API

• cURL
• Python
• JavaScript

curl "https://financialdata.net/api/v1/key-metrics?identifier=AAPL&key=API_KEY"

import requests

                                                url = 'https://financialdata.net/api/v1/key-metrics?identifier=AAPL&key=API_KEY'    
                                                response = requests.get(url)

                                                print(response.json())
                                            

const url = 'https://financialdata.net/api/v1/key-metrics?identifier=AAPL&key=API_KEY';
                                            
                                                const response = await fetch(url);
                                                const data = await response.json();

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "AAPL",
    "central_index_key": "0000320193",
    "registrant_name": "Apple Inc.",
    "fiscal_year": "2025",
    "period_end_date": "2025-09-27",
    "earnings_per_share": 7.49,
    "earnings_per_share_forecast": 8.75,
    "price_to_earnings_ratio": 34.1068090787717,
    "forward_price_to_earnings_ratio": 29.1954285714286,
    "earnings_growth_rate": 22.5859247135843,
    "price_earnings_to_growth_ratio": 1.51009132950214,
    "book_value_per_share": 4.93246814061612,
    "price_to_book_ratio": 51.7915154679723,
    "ebitda": 167077000000.0,
    "enterprise_value": 3885837810000.0,
    "dividend_yield": 0.00403823895167243,
    "dividend_payout_ratio": 0.137675207570753,
    "debt_to_equity_ratio": 1.39731192274829,
    "capital_expenditures": 15852000000.0,
    "free_cash_flow": 95630000000.0,
    "return_on_equity": 1.51912983331751,
    "one_year_beta": 1.24877332042397,
    "three_year_beta": 1.22558971744553,
    "five_year_beta": 1.24901748106757
  },
  ...
]

The API endpoint returns key financial metrics such as price-to-earnings ratio, price-to-book ratio, free cash flow, etc. This information is particularly important for value investors looking to identify undervalued stocks. Data is available for several thousand US and international companies.