XCEL ENERGY INC (XEL) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "XEL",
    "central_index_key": "0000072903",
    "registrant_name": "XCEL ENERGY INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 3.44,
    "earnings_per_share_forecast": 4.13,
    "price_to_earnings_ratio": 21.4709302325581,
    "forward_price_to_earnings_ratio": 17.8837772397094,
    "earnings_growth_rate": 0.0,
    "price_earnings_to_growth_ratio": null,
    "book_value_per_share": 40.2197614991482,
    "price_to_book_ratio": 1.83641069083824,
    "ebitda": 7095000000.0,
    "enterprise_value": 76463820000.0,
    "dividend_yield": 0.0312991427679144,
    "dividend_payout_ratio": 0.672447968285431,
    "debt_to_equity_ratio": 1.41395230632386,
    "capital_expenditures": 11409000000.0,
    "free_cash_flow": -7326000000.0,
    "return_on_equity": 0.0854758778431954,
    "one_year_beta": 0.221027196909272,
    "three_year_beta": 0.23507509197842,
    "five_year_beta": 0.350664502083745
  },
  ...
]

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.