DANAHER CORP /DE/ (DHR) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "DHR",
    "central_index_key": "0000313616",
    "registrant_name": "DANAHER CORP /DE/",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 5.07,
    "earnings_per_share_forecast": 8.53,
    "price_to_earnings_ratio": 45.1518737672584,
    "forward_price_to_earnings_ratio": 26.8370457209848,
    "earnings_growth_rate": -4.8780487804878,
    "price_earnings_to_growth_ratio": -9.25613412228798,
    "book_value_per_share": 73.71123895047,
    "price_to_book_ratio": 3.10563223816957,
    "ebitda": 5829000000.0,
    "enterprise_value": 176956284000.0,
    "dividend_yield": 0.00538150836741193,
    "dividend_payout_ratio": 0.242944106253459,
    "debt_to_equity_ratio": 0.350630068146343,
    "capital_expenditures": 1291000000.0,
    "free_cash_flow": 5125000000.0,
    "return_on_equity": 0.0687935432291468,
    "one_year_beta": 0.927088817138162,
    "three_year_beta": 0.857969495965192,
    "five_year_beta": 0.911845733533749
  },
  ...
]

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.