Howmet Aerospace Inc. (HWM) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "HWM",
    "central_index_key": "0000004281",
    "registrant_name": "Howmet Aerospace Inc.",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 3.73,
    "earnings_per_share_forecast": 5.34,
    "price_to_earnings_ratio": 54.9651474530831,
    "forward_price_to_earnings_ratio": 38.3932584269663,
    "earnings_growth_rate": 31.8021201413428,
    "price_earnings_to_growth_ratio": 1.72834852546917,
    "book_value_per_share": 13.25,
    "price_to_book_ratio": 15.4732075471698,
    "ebitda": 2103000000.0,
    "enterprise_value": 85327080000.0,
    "dividend_yield": 0.00216110285304211,
    "dividend_payout_ratio": 0.118700265251989,
    "debt_to_equity_ratio": 0.605454885111153,
    "capital_expenditures": 490000000.0,
    "free_cash_flow": 1394000000.0,
    "return_on_equity": 0.281711189986923,
    "one_year_beta": 1.1830746195657,
    "three_year_beta": 1.15314961872034,
    "five_year_beta": 1.13297544438203
  },
  ...
]

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.