HP INC (HPQ) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "HPQ",
    "central_index_key": "0000047217",
    "registrant_name": "HP INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-10-31",
    "earnings_per_share": 2.67,
    "earnings_per_share_forecast": 3.23,
    "price_to_earnings_ratio": 10.3632958801498,
    "forward_price_to_earnings_ratio": 8.56656346749226,
    "earnings_growth_rate": -5.65371024734983,
    "price_earnings_to_growth_ratio": -1.8330079588015,
    "book_value_per_share": -0.365750528541226,
    "price_to_book_ratio": -75.6526589595376,
    "ebitda": 4410000000.0,
    "enterprise_value": 33053820000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": -30.5433526011561,
    "capital_expenditures": 1051000000.0,
    "free_cash_flow": 2646000000.0,
    "return_on_equity": -7.3092485549133,
    "one_year_beta": 1.20100230286255,
    "three_year_beta": 1.11663042011751,
    "five_year_beta": 1.15193257564488
  },
  ...
]

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.