GLOBE LIFE INC. (GL) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "GL",
    "central_index_key": "0000320335",
    "registrant_name": "GLOBE LIFE INC.",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 14.27,
    "earnings_per_share_forecast": 15.7,
    "price_to_earnings_ratio": 9.80098107918711,
    "forward_price_to_earnings_ratio": 8.90828025477707,
    "earnings_growth_rate": 19.0158465387823,
    "price_earnings_to_growth_ratio": 0.515411241839708,
    "book_value_per_share": 73.4186610454116,
    "price_to_book_ratio": 1.90496527733586,
    "ebitda": 1508366000.0,
    "enterprise_value": 13862110541.7,
    "dividend_yield": 0.00766823626569541,
    "dividend_payout_ratio": 0.0751568584562338,
    "debt_to_equity_ratio": 0.439436653193472,
    "capital_expenditures": 115261000.0,
    "free_cash_flow": 1281130000.0,
    "return_on_equity": 0.194363150943355,
    "one_year_beta": 0.73166598022142,
    "three_year_beta": 0.599417676830243,
    "five_year_beta": 0.683596724498021
  },
  ...
]

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.