THERMO FISHER SCIENTIFIC INC. (TMO) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "TMO",
    "central_index_key": "0000097745",
    "registrant_name": "THERMO FISHER SCIENTIFIC INC.",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 17.77,
    "earnings_per_share_forecast": 25.13,
    "price_to_earnings_ratio": 32.6083286437817,
    "forward_price_to_earnings_ratio": 23.058097890967,
    "earnings_growth_rate": 7.17732207478892,
    "price_earnings_to_growth_ratio": 4.54324444465461,
    "book_value_per_share": 141.663129973475,
    "price_to_book_ratio": 4.09033740895388,
    "ebitda": 10949000000.0,
    "enterprise_value": 251305650000.0,
    "dividend_yield": 0.00297547317462159,
    "dividend_payout_ratio": 0.0969570405727924,
    "debt_to_equity_ratio": 0.799614282771921,
    "capital_expenditures": 2309000000.0,
    "free_cash_flow": 5509000000.0,
    "return_on_equity": 0.125526616361151,
    "one_year_beta": 0.855622185154978,
    "three_year_beta": 0.805236321280279,
    "five_year_beta": 0.859180531501153
  },
  ...
]

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.