AMERICAN EXPRESS CO (AXP) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "AXP",
    "central_index_key": "0000004962",
    "registrant_name": "AMERICAN EXPRESS CO",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 15.41,
    "earnings_per_share_forecast": 17.65,
    "price_to_earnings_ratio": 24.0071382219338,
    "forward_price_to_earnings_ratio": 20.9603399433428,
    "earnings_growth_rate": 9.75783475783476,
    "price_earnings_to_growth_ratio": 2.46029358128431,
    "book_value_per_share": 48.1640287769784,
    "price_to_book_ratio": 7.681043496445,
    "ebitda": 33174000000.0,
    "enterprise_value": 311314250000.0,
    "dividend_yield": 0.00889095454275855,
    "dividend_payout_ratio": 0.211021877596234,
    "debt_to_equity_ratio": 1.72545856485631,
    "capital_expenditures": 2524000000.0,
    "free_cash_flow": 15904000000.0,
    "return_on_equity": 0.323624305431081,
    "one_year_beta": 1.32846343197542,
    "three_year_beta": 1.22015495723207,
    "five_year_beta": 1.17066555598527
  },
  ...
]

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.