Walmart Inc. (WMT) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "WMT",
    "central_index_key": "0000104169",
    "registrant_name": "Walmart Inc.",
    "fiscal_year": "2026",
    "period_end_date": "2026-01-31",
    "earnings_per_share": 2.74,
    "earnings_per_share_forecast": 2.87,
    "price_to_earnings_ratio": 43.4817518248175,
    "forward_price_to_earnings_ratio": 41.5121951219512,
    "earnings_growth_rate": 13.2231404958678,
    "price_earnings_to_growth_ratio": 3.28830748175182,
    "book_value_per_share": 12.4786421144933,
    "price_to_book_ratio": 9.54751317546202,
    "ebitda": 43778000000.0,
    "enterprise_value": 985129620000.0,
    "dividend_yield": 0.00789301068699137,
    "dividend_payout_ratio": 0.342894989265975,
    "debt_to_equity_ratio": 0.449340975937842,
    "capital_expenditures": 30293000000.0,
    "free_cash_flow": 11272000000.0,
    "return_on_equity": 0.219771725709467,
    "one_year_beta": 0.581453234726167,
    "three_year_beta": 0.448604680836717,
    "five_year_beta": 0.455690437327557
  },
  ...
]

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.