Key Metrics API for LAM RESEARCH CORP (LRCX)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "LRCX",
    "central_index_key": "0000707549",
    "registrant_name": "LAM RESEARCH CORP",
    "fiscal_year": "2026",
    "period_end_date": "2026-06-28",
    "earnings_per_share": 5.79,
    "earnings_per_share_forecast": 9.34,
    "price_to_earnings_ratio": 70.9689119170985,
    "forward_price_to_earnings_ratio": 43.9946466809422,
    "earnings_growth_rate": 38.8489208633094,
    "price_earnings_to_growth_ratio": 1.8267923623105,
    "book_value_per_share": 9.93636336836167,
    "price_to_book_ratio": 41.3541639699265,
    "ebitda": 9196828000.0,
    "enterprise_value": 513867548890.0,
    "dividend_yield": 0.00252859030341793,
    "dividend_payout_ratio": 0.179488633517017,
    "debt_to_equity_ratio": 0.298470979007886,
    "capital_expenditures": 972014000.0,
    "free_cash_flow": 4885643000.0,
    "return_on_equity": 0.582586963705407,
    "one_year_beta": 2.92024910822364,
    "three_year_beta": 2.12992279253888,
    "five_year_beta": 1.91045088890122
  },
  ...
]

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.