GENERAL ELECTRIC CO (GE) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "GE",
    "central_index_key": "0000040545",
    "registrant_name": "GENERAL ELECTRIC CO",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 8.2,
    "earnings_per_share_forecast": 7.91,
    "price_to_earnings_ratio": 37.5646341463415,
    "forward_price_to_earnings_ratio": 38.9418457648546,
    "earnings_growth_rate": 35.7615894039735,
    "price_earnings_to_growth_ratio": 1.0504184733514,
    "book_value_per_share": 17.8114985862394,
    "price_to_book_ratio": 17.2938845380464,
    "ebitda": 9610000000.0,
    "enterprise_value": 336582830000.0,
    "dividend_yield": 0.0044428148683634,
    "dividend_payout_ratio": 0.166819852941176,
    "debt_to_equity_ratio": 1.18621834341704,
    "capital_expenditures": null,
    "free_cash_flow": null,
    "return_on_equity": 0.466027734646892,
    "one_year_beta": 1.08503501476501,
    "three_year_beta": 1.07288076702418,
    "five_year_beta": 1.03506882403519
  },
  ...
]

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.