Viatris Inc (VTRS) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "VTRS",
    "central_index_key": "0001792044",
    "registrant_name": "Viatris Inc",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": -3.0,
    "earnings_per_share_forecast": 2.51,
    "price_to_earnings_ratio": -4.15,
    "forward_price_to_earnings_ratio": 4.9601593625498,
    "earnings_growth_rate": 466.037735849057,
    "price_earnings_to_growth_ratio": -0.00890485829959514,
    "book_value_per_share": 12.5562320443131,
    "price_to_book_ratio": 0.991539496567264,
    "ebitda": 200100000.0,
    "enterprise_value": 27674934995.85,
    "dividend_yield": 0.0395630717811086,
    "dividend_payout_ratio": -0.164186747844889,
    "debt_to_equity_ratio": 0.979553132625941,
    "capital_expenditures": 2746200000.0,
    "free_cash_flow": -430300000.0,
    "return_on_equity": -0.238925179963701,
    "one_year_beta": 0.804408962522085,
    "three_year_beta": 0.743628713785978,
    "five_year_beta": 0.771080745102619
  },
  ...
]

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.