SIMON PROPERTY GROUP INC. (SPG) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "SPG",
    "central_index_key": "0001063761",
    "registrant_name": "SIMON PROPERTY GROUP INC.",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 14.17,
    "earnings_per_share_forecast": 13.23,
    "price_to_earnings_ratio": 13.0635144671842,
    "forward_price_to_earnings_ratio": 13.9916855631141,
    "earnings_growth_rate": 95.1790633608816,
    "price_earnings_to_growth_ratio": 0.137251975443932,
    "book_value_per_share": 20.5455838389753,
    "price_to_book_ratio": 9.00972206245331,
    "ebitda": 7794508000.0,
    "enterprise_value": 93926361249.52,
    "dividend_yield": 0.0462290960540295,
    "dividend_payout_ratio": 0.520658001685272,
    "debt_to_equity_ratio": 6.59255264898043,
    "capital_expenditures": null,
    "free_cash_flow": null,
    "return_on_equity": 1.02992395936615,
    "one_year_beta": 0.874570361946246,
    "three_year_beta": 0.916747917947017,
    "five_year_beta": 0.991370542226501
  },
  ...
]

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.