Key Metrics API for NetApp, Inc. (NTAP)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "NTAP",
    "central_index_key": "0001002047",
    "registrant_name": "NetApp, Inc.",
    "fiscal_year": "2026",
    "period_end_date": "2026-04-24",
    "earnings_per_share": 6.41,
    "earnings_per_share_forecast": 8.32,
    "price_to_earnings_ratio": 16.9594383775351,
    "forward_price_to_earnings_ratio": 13.0661057692308,
    "earnings_growth_rate": 10.3270223752152,
    "price_earnings_to_growth_ratio": 1.64223894955798,
    "book_value_per_share": 6.78894472361809,
    "price_to_book_ratio": 16.0127979274611,
    "ebitda": 1999000000.0,
    "enterprise_value": 22050290000.0,
    "dividend_yield": 0.0190909473316356,
    "dividend_payout_ratio": 0.323667711598746,
    "debt_to_equity_ratio": 1.84085862324204,
    "capital_expenditures": 208000000.0,
    "free_cash_flow": 1859000000.0,
    "return_on_equity": 0.944485566247224,
    "one_year_beta": 1.33134327026792,
    "three_year_beta": 1.20235781735785,
    "five_year_beta": 1.10437748772057
  },
  ...
]

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.