Key Metrics API for Marathon Petroleum Corp (MPC)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "MPC",
    "central_index_key": "0001510295",
    "registrant_name": "Marathon Petroleum Corp",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 13.24,
    "earnings_per_share_forecast": 61.17,
    "price_to_earnings_ratio": 12.2832326283988,
    "forward_price_to_earnings_ratio": 2.65865620402158,
    "earnings_growth_rate": 30.9594460929772,
    "price_earnings_to_growth_ratio": 0.396752338252753,
    "book_value_per_share": 78.9704918032787,
    "price_to_book_ratio": 2.05937681640787,
    "ebitda": 9193000000.0,
    "enterprise_value": 78806150000.0,
    "dividend_yield": 0.0229828747342605,
    "dividend_payout_ratio": 0.28169014084507,
    "debt_to_equity_ratio": 1.89881021138963,
    "capital_expenditures": 5620000000.0,
    "free_cash_flow": 2633000000.0,
    "return_on_equity": 0.233741480882523,
    "one_year_beta": 1.02050686448018,
    "three_year_beta": 0.818317635051011,
    "five_year_beta": 0.813061932029876
  },
  ...
]

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.