QUEST DIAGNOSTICS INC (DGX) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "DGX",
    "central_index_key": "0001022079",
    "registrant_name": "QUEST DIAGNOSTICS INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 8.87,
    "earnings_per_share_forecast": 11.15,
    "price_to_earnings_ratio": 19.5636978579481,
    "forward_price_to_earnings_ratio": 15.5632286995516,
    "earnings_growth_rate": 14.0102827763496,
    "price_earnings_to_growth_ratio": 1.39638137004437,
    "book_value_per_share": 64.5945945945946,
    "price_to_book_ratio": 2.68644769874477,
    "ebitda": 1467000000.0,
    "enterprise_value": 25016830000.0,
    "dividend_yield": 0.0185859806674651,
    "dividend_payout_ratio": 0.360887096774194,
    "debt_to_equity_ratio": 0.861227336122734,
    "capital_expenditures": 660000000.0,
    "free_cash_flow": 1226000000.0,
    "return_on_equity": 0.138354253835425,
    "one_year_beta": 0.241781728190003,
    "three_year_beta": 0.273698792890036,
    "five_year_beta": 0.37102265511486
  },
  ...
]

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.