GLOBAL PAYMENTS INC (GPN) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "GPN",
    "central_index_key": "0001123360",
    "registrant_name": "GLOBAL PAYMENTS INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 5.79,
    "earnings_per_share_forecast": 13.64,
    "price_to_earnings_ratio": 13.3678756476684,
    "forward_price_to_earnings_ratio": 5.67448680351906,
    "earnings_growth_rate": -6.31067961165048,
    "price_earnings_to_growth_ratio": -2.11829414109207,
    "book_value_per_share": 98.4111548871434,
    "price_to_book_ratio": 0.78649620654042,
    "ebitda": 4049082000.0,
    "enterprise_value": 32262277600.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 0.95663554091839,
    "capital_expenditures": 453378000.0,
    "free_cash_flow": 2203214000.0,
    "return_on_equity": 0.0611700490463291,
    "one_year_beta": 1.25724504316616,
    "three_year_beta": 1.2059967258091,
    "five_year_beta": 1.18228494690572
  },
  ...
]

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.