TEXAS INSTRUMENTS INC (TXN) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "TXN",
    "central_index_key": "0000097476",
    "registrant_name": "TEXAS INSTRUMENTS INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 5.47,
    "earnings_per_share_forecast": 8.45,
    "price_to_earnings_ratio": 31.7166361974406,
    "forward_price_to_earnings_ratio": 20.5313609467456,
    "earnings_growth_rate": 4.38931297709924,
    "price_earnings_to_growth_ratio": 7.22587711628647,
    "book_value_per_share": 17.9020902090209,
    "price_to_book_ratio": 9.69104713328827,
    "ebitda": 7475000000.0,
    "enterprise_value": 169027410000.0,
    "dividend_yield": 0.0316989448671076,
    "dividend_payout_ratio": 0.999600079984003,
    "debt_to_equity_ratio": 0.894119092976095,
    "capital_expenditures": 2891000000.0,
    "free_cash_flow": 4262000000.0,
    "return_on_equity": 0.307318871750753,
    "one_year_beta": 1.32746929660778,
    "three_year_beta": 1.30450222161793,
    "five_year_beta": 1.22775806381186
  },
  ...
]

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.