Key Metrics API for PFIZER INC (PFE)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "PFE",
    "central_index_key": "0000078003",
    "registrant_name": "PFIZER INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 1.37,
    "earnings_per_share_forecast": 2.95,
    "price_to_earnings_ratio": 18.1751824817518,
    "forward_price_to_earnings_ratio": 8.44067796610169,
    "earnings_growth_rate": -3.52112676056336,
    "price_earnings_to_growth_ratio": -5.16175182481754,
    "book_value_per_share": 15.2692240014077,
    "price_to_book_ratio": 1.63073120138289,
    "ebitda": 21722000000.0,
    "enterprise_value": 205159700000.0,
    "dividend_yield": 0.0691062684664401,
    "dividend_payout_ratio": 1.25839660275383,
    "debt_to_equity_ratio": 0.749283038068366,
    "capital_expenditures": 7516000000.0,
    "free_cash_flow": 4188000000.0,
    "return_on_equity": 0.0898630833988621,
    "one_year_beta": 0.457613091016119,
    "three_year_beta": 0.402956945978158,
    "five_year_beta": 0.40103984476066
  },
  ...
]

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.