Key Metrics API for NVIDIA CORP (NVDA)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "NVDA",
    "central_index_key": "0001045810",
    "registrant_name": "NVIDIA CORP",
    "fiscal_year": "2026",
    "period_end_date": "2026-01-25",
    "earnings_per_share": 4.93,
    "earnings_per_share_forecast": 9.25,
    "price_to_earnings_ratio": 37.8235294117647,
    "forward_price_to_earnings_ratio": 20.1589189189189,
    "earnings_growth_rate": 65.993265993266,
    "price_earnings_to_growth_ratio": 0.573142256902761,
    "book_value_per_share": 6.45728478180549,
    "price_to_book_ratio": 28.8774626334293,
    "ebitda": 143457000000.0,
    "enterprise_value": 4541084730000.0,
    "dividend_yield": 0.000214432461351361,
    "dividend_payout_ratio": 0.00811213738995727,
    "debt_to_equity_ratio": 0.0601870394741025,
    "capital_expenditures": 6943000000.0,
    "free_cash_flow": 95775000000.0,
    "return_on_equity": 0.763333396908953,
    "one_year_beta": 1.78963215368025,
    "three_year_beta": 2.06967043601602,
    "five_year_beta": 2.12637975552216
  },
  ...
]

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.