COSTCO WHOLESALE CORP /NEW (COST) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "COST",
    "central_index_key": "0000909832",
    "registrant_name": "COSTCO WHOLESALE CORP /NEW",
    "fiscal_year": "2026",
    "period_end_date": "2026-08-30",
    "earnings_per_share": 20.78,
    "earnings_per_share_forecast": 22.7,
    "price_to_earnings_ratio": 45.4230028873917,
    "forward_price_to_earnings_ratio": 41.5810572687225,
    "earnings_growth_rate": 13.9254385964912,
    "price_earnings_to_growth_ratio": 3.2618723333308,
    "book_value_per_share": 80.6459242307181,
    "price_to_book_ratio": 11.7041252735804,
    "ebitda": 14884000000.0,
    "enterprise_value": 404997797170.0,
    "dividend_yield": 0.00586574931391273,
    "dividend_payout_ratio": 0.266420984175157,
    "debt_to_equity_ratio": 0.172108482529397,
    "capital_expenditures": 6398000000.0,
    "free_cash_flow": 9419000000.0,
    "return_on_equity": 0.257687903248331,
    "one_year_beta": -0.147148604655389,
    "three_year_beta": 0.446054961761709,
    "five_year_beta": 0.683401529553309
  },
  ...
]

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.