Key Metrics API for LOCKHEED MARTIN CORP (LMT)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "LMT",
    "central_index_key": "0000936468",
    "registrant_name": "LOCKHEED MARTIN CORP",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 21.56,
    "earnings_per_share_forecast": 30.44,
    "price_to_earnings_ratio": 22.4336734693878,
    "forward_price_to_earnings_ratio": 15.8892904073587,
    "earnings_growth_rate": -3.70701205895489,
    "price_earnings_to_growth_ratio": -6.05168613228423,
    "book_value_per_share": 28.8826815642458,
    "price_to_book_ratio": 16.7460212765957,
    "ebitda": 8610000000.0,
    "enterprise_value": 131297009000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 3.40246987055498,
    "capital_expenditures": 1836000000.0,
    "free_cash_flow": 6721000000.0,
    "return_on_equity": 0.746466299657789,
    "one_year_beta": 0.193159763091227,
    "three_year_beta": 0.180864482491556,
    "five_year_beta": 0.252401669210425
  },
  ...
]

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.