Key Metrics API for KLA CORP (KLAC)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "KLAC",
    "central_index_key": "0000319201",
    "registrant_name": "KLA CORP",
    "fiscal_year": "2026",
    "period_end_date": "2026-06-30",
    "earnings_per_share": 3.68,
    "earnings_per_share_forecast": 5.43,
    "price_to_earnings_ratio": 81.9864130434783,
    "forward_price_to_earnings_ratio": 55.5635359116022,
    "earnings_growth_rate": -87.9462823452342,
    "price_earnings_to_growth_ratio": -0.932232845518581,
    "book_value_per_share": 4.84158790285441,
    "price_to_book_ratio": 62.3163321731955,
    "ebitda": 6290598000.0,
    "enterprise_value": 399935065360.0,
    "dividend_yield": 0.00267333511185762,
    "dividend_payout_ratio": 0.218977881584534,
    "debt_to_equity_ratio": 0.927178250722068,
    "capital_expenditures": 521753000.0,
    "free_cash_flow": 3621326000.0,
    "return_on_equity": 0.760772903798848,
    "one_year_beta": 2.63720161433081,
    "three_year_beta": 1.99507085605007,
    "five_year_beta": 1.80027774257111
  },
  ...
]

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.