Key Metrics API for LABCORP HOLDINGS INC. (LH)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "LH",
    "central_index_key": "0000920148",
    "registrant_name": "LABCORP HOLDINGS INC.",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 10.54,
    "earnings_per_share_forecast": 18.32,
    "price_to_earnings_ratio": 23.8026565464896,
    "forward_price_to_earnings_ratio": 13.6943231441048,
    "earnings_growth_rate": 18.5601799775028,
    "price_earnings_to_growth_ratio": 1.28245828301995,
    "book_value_per_share": 103.806490384615,
    "price_to_book_ratio": 2.41680456655899,
    "ebitda": 1952800000.0,
    "enterprise_value": 25925616000.0,
    "dividend_yield": 0.0115315244186617,
    "dividend_payout_ratio": 0.274614945807188,
    "debt_to_equity_ratio": 0.647892062460846,
    "capital_expenditures": 717200000.0,
    "free_cash_flow": 923300000.0,
    "return_on_equity": 0.101684493839764,
    "one_year_beta": 0.608283675331066,
    "three_year_beta": 0.5872172843136,
    "five_year_beta": 0.621188731231074
  },
  ...
]

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.