SYSCO CORP (SYY) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "SYY",
    "central_index_key": "0000096021",
    "registrant_name": "SYSCO CORP",
    "fiscal_year": "2026",
    "period_end_date": "2026-06-27",
    "earnings_per_share": 3.67,
    "earnings_per_share_forecast": 5.1,
    "price_to_earnings_ratio": 22.566757493188,
    "forward_price_to_earnings_ratio": 16.2392156862745,
    "earnings_growth_rate": -1.8716577540107,
    "price_earnings_to_growth_ratio": -12.0570961463604,
    "book_value_per_share": 5.5643926640625,
    "price_to_book_ratio": 14.883924446039,
    "ebitda": 3210000000.0,
    "enterprise_value": 51410542573.14,
    "dividend_yield": 0.0262597215771272,
    "dividend_payout_ratio": 0.593056346044394,
    "debt_to_equity_ratio": 5.06976744186047,
    "capital_expenditures": 866000000.0,
    "free_cash_flow": 1772000000.0,
    "return_on_equity": 0.659039759939985,
    "one_year_beta": 0.269002647890502,
    "three_year_beta": 0.341433423096131,
    "five_year_beta": 0.588773943828189
  },
  ...
]

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.