GENUINE PARTS CO (GPC) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "GPC",
    "central_index_key": "0000040987",
    "registrant_name": "GENUINE PARTS CO",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 0.47,
    "earnings_per_share_forecast": 7.73,
    "price_to_earnings_ratio": 261.617021276596,
    "forward_price_to_earnings_ratio": 15.9068564036222,
    "earnings_growth_rate": -92.7580893682589,
    "price_earnings_to_growth_ratio": -2.82042270446031,
    "book_value_per_share": 31.832674799381,
    "price_to_book_ratio": 3.86269770840592,
    "ebitda": 978689000.0,
    "enterprise_value": 22346789200.0,
    "dividend_yield": 0.033525830970924,
    "dividend_payout_ratio": 8.68569262264008,
    "debt_to_equity_ratio": 1.29760404215157,
    "capital_expenditures": 759403000.0,
    "free_cash_flow": 131359000.0,
    "return_on_equity": 0.0149095939828953,
    "one_year_beta": 0.588624472764951,
    "three_year_beta": 0.668965602009157,
    "five_year_beta": 0.708614214353846
  },
  ...
]

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.