Key Metrics API for KIMBERLY CLARK CORP (KMB)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "KMB",
    "central_index_key": "0000055785",
    "registrant_name": "KIMBERLY CLARK CORP",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 6.09,
    "earnings_per_share_forecast": 7.35,
    "price_to_earnings_ratio": 16.5665024630542,
    "forward_price_to_earnings_ratio": 13.7265306122449,
    "earnings_growth_rate": -19.6569920844327,
    "price_earnings_to_growth_ratio": -0.842779118590273,
    "book_value_per_share": 4.52545947574571,
    "price_to_book_ratio": 22.2938688415446,
    "ebitda": 3579000000.0,
    "enterprise_value": 39965391000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 4.77230359520639,
    "capital_expenditures": 67000000.0,
    "free_cash_flow": 2710000000.0,
    "return_on_equity": 1.34553928095872,
    "one_year_beta": 0.0618518531707125,
    "three_year_beta": 0.129797081066937,
    "five_year_beta": 0.210656321676489
  },
  ...
]

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.