Key Metrics API for NRG ENERGY, INC. (NRG)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "NRG",
    "central_index_key": "0001013871",
    "registrant_name": "NRG ENERGY, INC.",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 4.09,
    "earnings_per_share_forecast": 8.61,
    "price_to_earnings_ratio": 38.9339853300734,
    "forward_price_to_earnings_ratio": 18.4947735191638,
    "earnings_growth_rate": -20.4280155642023,
    "price_earnings_to_growth_ratio": -1.90591128187216,
    "book_value_per_share": 8.62051282051282,
    "price_to_book_ratio": 18.4722189173111,
    "ebitda": 3078000000.0,
    "enterprise_value": 42786800000.0,
    "dividend_yield": 0.0112714882873135,
    "dividend_payout_ratio": 0.405092592592593,
    "debt_to_equity_ratio": 9.78167757287329,
    "capital_expenditures": null,
    "free_cash_flow": null,
    "return_on_equity": 0.513979773944081,
    "one_year_beta": 1.71291046692913,
    "three_year_beta": 1.36880884683712,
    "five_year_beta": 1.08968476564747
  },
  ...
]

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.