Key Metrics API for Mastercard Inc (MA)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "MA",
    "central_index_key": "0001141391",
    "registrant_name": "Mastercard Inc",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 16.54,
    "earnings_per_share_forecast": 19.9,
    "price_to_earnings_ratio": 34.5151148730351,
    "forward_price_to_earnings_ratio": 28.6874371859296,
    "earnings_growth_rate": 18.9072609633357,
    "price_earnings_to_growth_ratio": 1.82549523910235,
    "book_value_per_share": 8.55911602209945,
    "price_to_book_ratio": 66.698476633101,
    "ebitda": 19811000000.0,
    "enterprise_value": 525080400000.0,
    "dividend_yield": 0.00549698981740703,
    "dividend_payout_ratio": 0.189738107963656,
    "debt_to_equity_ratio": 2.45573219594158,
    "capital_expenditures": 1308000000.0,
    "free_cash_flow": 16340000000.0,
    "return_on_equity": 1.93459997415019,
    "one_year_beta": 0.752930021002344,
    "three_year_beta": 0.75598537251707,
    "five_year_beta": 0.955321363870656
  },
  ...
]

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.