Key Metrics API for COCA COLA CO (KO)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "KO",
    "central_index_key": "0000021344",
    "registrant_name": "COCA COLA CO",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 3.05,
    "earnings_per_share_forecast": 3.3,
    "price_to_earnings_ratio": 22.9213114754098,
    "forward_price_to_earnings_ratio": 21.1848484848485,
    "earnings_growth_rate": 23.4817813765182,
    "price_earnings_to_growth_ratio": 0.97613171283211,
    "book_value_per_share": 7.47594701371136,
    "price_to_book_ratio": 9.35132363455501,
    "ebitda": 18684000000.0,
    "enterprise_value": 332727730000.0,
    "dividend_yield": 0.0291833000784216,
    "dividend_payout_ratio": 0.669794766155489,
    "debt_to_equity_ratio": 1.31104479467811,
    "capital_expenditures": 360000000.0,
    "free_cash_flow": 7048000000.0,
    "return_on_equity": 0.407441947216264,
    "one_year_beta": 0.0472262967326669,
    "three_year_beta": 0.123037941871828,
    "five_year_beta": 0.315981617554295
  },
  ...
]

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.