HONEYWELL INTERNATIONAL INC (HON) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "HON",
    "central_index_key": "0000773840",
    "registrant_name": "HONEYWELL INTERNATIONAL INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 7.4,
    "earnings_per_share_forecast": 8.27,
    "price_to_earnings_ratio": 52.727027027027,
    "forward_price_to_earnings_ratio": 47.180169286578,
    "earnings_growth_rate": -15.5251141552511,
    "price_earnings_to_growth_ratio": -3.39624085850556,
    "book_value_per_share": 21.7589984350548,
    "price_to_book_ratio": 17.9318915420023,
    "ebitda": 7915000000.0,
    "enterprise_value": 271777020000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 2.51287399309551,
    "capital_expenditures": -177000000.0,
    "free_cash_flow": 6585000000.0,
    "return_on_equity": 0.340117951668585,
    "one_year_beta": 0.760598633592258,
    "three_year_beta": 0.762357936478781,
    "five_year_beta": 0.779796624823218
  },
  ...
]

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.