Key Metrics API for MASCO CORP /DE/ (MAS)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "MAS",
    "central_index_key": "0000062996",
    "registrant_name": "MASCO CORP /DE/",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 3.87,
    "earnings_per_share_forecast": 4.52,
    "price_to_earnings_ratio": 16.3979328165375,
    "forward_price_to_earnings_ratio": 14.0398230088496,
    "earnings_growth_rate": 2.65251989389921,
    "price_earnings_to_growth_ratio": 6.18202067183462,
    "book_value_per_share": 0.363636363636364,
    "price_to_book_ratio": 174.515,
    "ebitda": 1295000000.0,
    "enterprise_value": 15565140000.0,
    "dividend_yield": 0.0196032010519379,
    "dividend_payout_ratio": 0.320987654320988,
    "debt_to_equity_ratio": -15.9405405405405,
    "capital_expenditures": 227000000.0,
    "free_cash_flow": 795000000.0,
    "return_on_equity": -4.37837837837838,
    "one_year_beta": 0.957198899869224,
    "three_year_beta": 0.998100071552443,
    "five_year_beta": 1.01804344607565
  },
  ...
]

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.