Key Metrics API for KIMCO REALTY CORP (KIM)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "KIM",
    "central_index_key": "0000879101",
    "registrant_name": "KIMCO REALTY CORP",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 0.87,
    "earnings_per_share_forecast": 1.84,
    "price_to_earnings_ratio": 23.2988505747126,
    "forward_price_to_earnings_ratio": 11.0163043478261,
    "earnings_growth_rate": 42.6229508196721,
    "price_earnings_to_growth_ratio": 0.546626878868258,
    "book_value_per_share": 15.6549559291904,
    "price_to_book_ratio": 1.29479764054808,
    "ebitda": 1565489000.0,
    "enterprise_value": 21190315500.0,
    "dividend_yield": 0.0500149690167115,
    "dividend_payout_ratio": 1.17037799641209,
    "debt_to_equity_ratio": 0.742765763431986,
    "capital_expenditures": null,
    "free_cash_flow": null,
    "return_on_equity": 0.0562692675288563,
    "one_year_beta": 0.722122992379435,
    "three_year_beta": 0.796268068458349,
    "five_year_beta": 0.893791588386929
  },
  ...
]

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.