GENERAL MILLS INC (GIS) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "GIS",
    "central_index_key": "0000040704",
    "registrant_name": "GENERAL MILLS INC",
    "fiscal_year": "2026",
    "period_end_date": "2026-05-31",
    "earnings_per_share": -0.16,
    "earnings_per_share_forecast": 3.08,
    "price_to_earnings_ratio": -210.1875,
    "forward_price_to_earnings_ratio": 10.9188311688312,
    "earnings_growth_rate": -103.883495145631,
    "price_earnings_to_growth_ratio": 2.02330023364486,
    "book_value_per_share": 13.7262413985494,
    "price_to_book_ratio": 2.45005162181936,
    "ebitda": 1439600000.0,
    "enterprise_value": 31167051000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 1.83730524944357,
    "capital_expenditures": 366000000.0,
    "free_cash_flow": 1800200000.0,
    "return_on_equity": -0.0118886053960154,
    "one_year_beta": -0.155854737371248,
    "three_year_beta": -0.0108097406097857,
    "five_year_beta": 0.113450717492725
  },
  ...
]

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.