HUBBELL INC (HUBB) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "HUBB",
    "central_index_key": "0000048898",
    "registrant_name": "HUBBELL INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 16.63,
    "earnings_per_share_forecast": 20.45,
    "price_to_earnings_ratio": 26.7053517739026,
    "forward_price_to_earnings_ratio": 21.7168704156479,
    "earnings_growth_rate": 15.0069156293223,
    "price_earnings_to_growth_ratio": 1.77953634401213,
    "book_value_per_share": 72.5169172932331,
    "price_to_book_ratio": 6.12422613338863,
    "ebitda": 1307500000.0,
    "enterprise_value": 25469552000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 0.604329634346007,
    "capital_expenditures": 320700000.0,
    "free_cash_flow": 709100000.0,
    "return_on_equity": 0.230541334234258,
    "one_year_beta": 1.14998043139539,
    "three_year_beta": 1.1537357144053,
    "five_year_beta": 1.00517746558848
  },
  ...
]

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.