Hewlett Packard Enterprise Co (HPE) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "HPE",
    "central_index_key": "0001645590",
    "registrant_name": "Hewlett Packard Enterprise Co",
    "fiscal_year": "2025",
    "period_end_date": "2025-10-31",
    "earnings_per_share": -0.04,
    "earnings_per_share_forecast": 3.34,
    "price_to_earnings_ratio": -610.5,
    "forward_price_to_earnings_ratio": 7.31137724550898,
    "earnings_growth_rate": -102.051282051282,
    "price_earnings_to_growth_ratio": 5.9822864321608,
    "book_value_per_share": 18.6465256797583,
    "price_to_book_ratio": 1.30962734931951,
    "ebitda": 4317000000.0,
    "enterprise_value": 52916080000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 1.0676036941024,
    "capital_expenditures": 3075000000.0,
    "free_cash_flow": -156000000.0,
    "return_on_equity": 0.00230881399870382,
    "one_year_beta": 1.59995218710069,
    "three_year_beta": 1.41365453096711,
    "five_year_beta": 1.20113793618549
  },
  ...
]

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.