Gen Digital Inc. (GEN) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "GEN",
    "central_index_key": "0000849399",
    "registrant_name": "Gen Digital Inc.",
    "fiscal_year": "2026",
    "period_end_date": "2026-04-03",
    "earnings_per_share": 1.59,
    "earnings_per_share_forecast": null,
    "price_to_earnings_ratio": 11.8805031446541,
    "forward_price_to_earnings_ratio": null,
    "earnings_growth_rate": 52.8846153846154,
    "price_earnings_to_growth_ratio": 0.224649514008005,
    "book_value_per_share": 4.26633986928105,
    "price_to_book_ratio": 4.42768288012256,
    "ebitda": 1911000000.0,
    "enterprise_value": 19526680000.0,
    "dividend_yield": 0.0269880318458776,
    "dividend_payout_ratio": 0.32065775950668,
    "debt_to_equity_ratio": 3.20834929145921,
    "capital_expenditures": 504000000.0,
    "free_cash_flow": 1041000000.0,
    "return_on_equity": 0.372654155495979,
    "one_year_beta": 0.919781803791529,
    "three_year_beta": 0.931884216584503,
    "five_year_beta": 0.775714360526827
  },
  ...
]

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.