HARTFORD INSURANCE GROUP, INC. (HIG) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "HIG",
    "central_index_key": "0000874766",
    "registrant_name": "HARTFORD INSURANCE GROUP, INC.",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 13.51,
    "earnings_per_share_forecast": 12.88,
    "price_to_earnings_ratio": 10.19985196151,
    "forward_price_to_earnings_ratio": 10.6987577639752,
    "earnings_growth_rate": 28.5442435775452,
    "price_earnings_to_growth_ratio": 0.357334813718234,
    "book_value_per_share": 67.2060906515581,
    "price_to_book_ratio": 2.05040939986301,
    "ebitda": 5085000000.0,
    "enterprise_value": 43108720000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 0.230307181621793,
    "capital_expenditures": 230000000.0,
    "free_cash_flow": 5692000000.0,
    "return_on_equity": 0.202118130565362,
    "one_year_beta": 0.502031345099037,
    "three_year_beta": 0.551214723736142,
    "five_year_beta": 0.639040491740215
  },
  ...
]

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.