Key Metrics API for KROGER CO (KR)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "KR",
    "central_index_key": "0000056873",
    "registrant_name": "KROGER CO",
    "fiscal_year": "2025",
    "period_end_date": "2025-02-01",
    "earnings_per_share": 3.7,
    "earnings_per_share_forecast": 4.69,
    "price_to_earnings_ratio": 16.6594594594595,
    "forward_price_to_earnings_ratio": 13.1428571428571,
    "earnings_growth_rate": 23.7458193979933,
    "price_earnings_to_growth_ratio": 0.701574419489912,
    "book_value_per_share": 11.5818181818182,
    "price_to_book_ratio": 5.32213500784929,
    "ebitda": 6592000000.0,
    "enterprise_value": 56126600000.0,
    "dividend_yield": 0.0201258832018079,
    "dividend_payout_ratio": 0.332833020637899,
    "debt_to_equity_ratio": 1.93277006638503,
    "capital_expenditures": 3719000000.0,
    "free_cash_flow": 2075000000.0,
    "return_on_equity": 0.32166566083283,
    "one_year_beta": 0.203609507461438,
    "three_year_beta": 0.325078348406498,
    "five_year_beta": 0.256873173708419
  },
  ...
]

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.