Key Metrics API for JPMORGAN CHASE & CO (JPM)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "JPM",
    "central_index_key": "0000019617",
    "registrant_name": "JPMORGAN CHASE & CO",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 20.05,
    "earnings_per_share_forecast": 24.18,
    "price_to_earnings_ratio": 16.0708229426434,
    "forward_price_to_earnings_ratio": 13.3258891645988,
    "earnings_growth_rate": 1.31379484588177,
    "price_earnings_to_growth_ratio": 12.2323686936504,
    "book_value_per_share": 130.537727354583,
    "price_to_book_ratio": 2.46840516171042,
    "ebitda": 166621000000.0,
    "enterprise_value": null,
    "dividend_yield": 0.0185828141239179,
    "dividend_payout_ratio": 0.291421259290422,
    "debt_to_equity_ratio": null,
    "capital_expenditures": null,
    "free_cash_flow": null,
    "return_on_equity": 0.157400714053162,
    "one_year_beta": 0.957491260265865,
    "three_year_beta": 0.900444808815852,
    "five_year_beta": 0.885128812612865
  },
  ...
]

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.