TEXTRON INC (TXT) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "TXT",
    "central_index_key": "0000217346",
    "registrant_name": "TEXTRON INC",
    "fiscal_year": "2025",
    "period_end_date": "2026-01-03",
    "earnings_per_share": 5.15,
    "earnings_per_share_forecast": null,
    "price_to_earnings_ratio": 16.9029126213592,
    "forward_price_to_earnings_ratio": null,
    "earnings_growth_rate": 17.5799086757991,
    "price_earnings_to_growth_ratio": 0.961490354305887,
    "book_value_per_share": 44.0202353335756,
    "price_to_book_ratio": 1.97749965079365,
    "ebitda": 1196000000.0,
    "enterprise_value": null,
    "dividend_yield": 0.000899002827668912,
    "dividend_payout_ratio": 0.0152008686210641,
    "debt_to_equity_ratio": null,
    "capital_expenditures": null,
    "free_cash_flow": null,
    "return_on_equity": 0.116952380952381,
    "one_year_beta": 0.949985655315534,
    "three_year_beta": 0.929302087635522,
    "five_year_beta": 1.05785563125295
  },
  ...
]

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.