AMPHENOL CORP /DE/ (APH) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "APH",
    "central_index_key": "0000820313",
    "registrant_name": "AMPHENOL CORP /DE/",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 3.51,
    "earnings_per_share_forecast": 2.67,
    "price_to_earnings_ratio": 19.2507122507123,
    "forward_price_to_earnings_ratio": 25.3071161048689,
    "earnings_growth_rate": 74.6268656716418,
    "price_earnings_to_growth_ratio": 0.257959544159544,
    "book_value_per_share": 11.0898867181087,
    "price_to_book_ratio": 6.09293870330207,
    "ebitda": 6644600000.0,
    "enterprise_value": 86685174000.0,
    "dividend_yield": 0.011046753851913,
    "dividend_payout_ratio": 0.212935859307309,
    "debt_to_equity_ratio": 1.1557358105136,
    "capital_expenditures": 1516200000.0,
    "free_cash_flow": 3858500000.0,
    "return_on_equity": 0.318367864252112,
    "one_year_beta": 1.29881653461194,
    "three_year_beta": 1.2705624916134,
    "five_year_beta": 1.19665172182352
  },
  ...
]

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.