HUMANA INC (HUM) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "HUM",
    "central_index_key": "0000049071",
    "registrant_name": "HUMANA INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 9.87,
    "earnings_per_share_forecast": 9.03,
    "price_to_earnings_ratio": 25.9503546099291,
    "forward_price_to_earnings_ratio": 28.3643410852713,
    "earnings_growth_rate": -1.39860139860141,
    "price_earnings_to_growth_ratio": -18.5545035460992,
    "book_value_per_share": 147.251232835771,
    "price_to_book_ratio": 1.73940818740486,
    "ebitda": 1870000000.0,
    "enterprise_value": 39020883020.0,
    "dividend_yield": 0.0139375609495618,
    "dividend_payout_ratio": 0.361952861952862,
    "debt_to_equity_ratio": 0.700515376337996,
    "capital_expenditures": -250000000.0,
    "free_cash_flow": 1171000000.0,
    "return_on_equity": 0.0672820977515999,
    "one_year_beta": 0.371730813439788,
    "three_year_beta": 0.339701032235322,
    "five_year_beta": 0.413317572943374
  },
  ...
]

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.