TERADYNE, INC (TER) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "TER",
    "central_index_key": "0000097210",
    "registrant_name": "TERADYNE, INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 3.48,
    "earnings_per_share_forecast": 9.11,
    "price_to_earnings_ratio": 55.6206896551724,
    "forward_price_to_earnings_ratio": 21.2469813391877,
    "earnings_growth_rate": 2.05278592375366,
    "price_earnings_to_growth_ratio": 27.0952216748769,
    "book_value_per_share": 17.5701958911255,
    "price_to_book_ratio": 11.0163825832906,
    "ebitda": 804041000.0,
    "enterprise_value": null,
    "dividend_yield": 0.00247890572594507,
    "dividend_payout_ratio": 0.137800583704993,
    "debt_to_equity_ratio": null,
    "capital_expenditures": 182809000.0,
    "free_cash_flow": 491606000.0,
    "return_on_equity": 0.198174587731673,
    "one_year_beta": 1.85018104173674,
    "three_year_beta": 1.89624874148678,
    "five_year_beta": 1.81339607795936
  },
  ...
]

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.