Cigna Group (CI) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "CI",
    "central_index_key": "0001739940",
    "registrant_name": "Cigna Group",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 22.33,
    "earnings_per_share_forecast": 30.5,
    "price_to_earnings_ratio": 12.3255709807434,
    "forward_price_to_earnings_ratio": 9.02393442622951,
    "earnings_growth_rate": 82.2857142857143,
    "price_earnings_to_growth_ratio": 0.149789925113201,
    "book_value_per_share": 156.965993464084,
    "price_to_book_ratio": 1.75343712307327,
    "ebitda": 10531000000.0,
    "enterprise_value": 97210426091.57,
    "dividend_yield": 0.021941226196539,
    "dividend_payout_ratio": 0.270438140003357,
    "debt_to_equity_ratio": 0.754273248148059,
    "capital_expenditures": 2772000000.0,
    "free_cash_flow": 6829000000.0,
    "return_on_equity": 0.142809196173855,
    "one_year_beta": 0.173252840228751,
    "three_year_beta": 0.247524975484916,
    "five_year_beta": 0.417123956440024
  },
  ...
]

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.