VERISIGN INC/CA (VRSN) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "VRSN",
    "central_index_key": "0001014473",
    "registrant_name": "VERISIGN INC/CA",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 8.83,
    "earnings_per_share_forecast": 9.59,
    "price_to_earnings_ratio": 27.5141562853907,
    "forward_price_to_earnings_ratio": 25.3336809176225,
    "earnings_growth_rate": 10.2372034956305,
    "price_earnings_to_growth_ratio": 2.68766331519487,
    "book_value_per_share": -23.0395721925134,
    "price_to_book_ratio": -10.5449006591774,
    "ebitda": 1136300000.0,
    "enterprise_value": null,
    "dividend_yield": 0.00947357183813487,
    "dividend_payout_ratio": 0.260627346493884,
    "debt_to_equity_ratio": null,
    "capital_expenditures": 20400000.0,
    "free_cash_flow": 1070700000.0,
    "return_on_equity": -0.383297743942067,
    "one_year_beta": 0.412835417650616,
    "three_year_beta": 0.537512273444726,
    "five_year_beta": 0.783630656063775
  },
  ...
]

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.