VALERO ENERGY CORP/TX (VLO) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "VLO",
    "central_index_key": "0001035002",
    "registrant_name": "VALERO ENERGY CORP/TX",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 7.57,
    "earnings_per_share_forecast": 51.77,
    "price_to_earnings_ratio": 21.5046235138705,
    "forward_price_to_earnings_ratio": 3.14448522310218,
    "earnings_growth_rate": -11.7715617715618,
    "price_earnings_to_growth_ratio": -1.82682841335653,
    "book_value_per_share": 76.7799352750809,
    "price_to_book_ratio": 2.12021538461538,
    "ebitda": 3666000000.0,
    "enterprise_value": 54824110000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 0.388198103266596,
    "capital_expenditures": -1634000000.0,
    "free_cash_flow": 7460000000.0,
    "return_on_equity": 0.0989673340358272,
    "one_year_beta": 1.00349008615394,
    "three_year_beta": 0.818806551805773,
    "five_year_beta": 0.765097854999753
  },
  ...
]

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.