Key Metrics API for MICROSOFT CORP (MSFT)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "MSFT",
    "central_index_key": "0000789019",
    "registrant_name": "MICROSOFT CORP",
    "fiscal_year": "2026",
    "period_end_date": "2026-06-30",
    "earnings_per_share": 18.0,
    "earnings_per_share_forecast": 19.65,
    "price_to_earnings_ratio": 20.7233333333333,
    "forward_price_to_earnings_ratio": 18.9832061068702,
    "earnings_growth_rate": 31.3868613138686,
    "price_earnings_to_growth_ratio": 0.66025503875969,
    "book_value_per_share": 59.548660654193,
    "price_to_book_ratio": 6.26412073591674,
    "ebitda": 196522000000.0,
    "enterprise_value": 2707495580000.0,
    "dividend_yield": 0.009755822674443,
    "dividend_payout_ratio": 0.20213235239142,
    "debt_to_equity_ratio": 0.111940450329689,
    "capital_expenditures": 146644000000.0,
    "free_cash_flow": 36291000000.0,
    "return_on_equity": 0.30233483352811,
    "one_year_beta": 0.79558672662566,
    "three_year_beta": 0.950104817727266,
    "five_year_beta": 1.11114865298535
  },
  ...
]

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.