FEDERAL REALTY INVESTMENT TRUST (FRT) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "FRT",
    "central_index_key": "0000034903",
    "registrant_name": "FEDERAL REALTY INVESTMENT TRUST",
    "fiscal_year": "2024",
    "period_end_date": "2024-12-31",
    "earnings_per_share": 3.42,
    "earnings_per_share_forecast": null,
    "price_to_earnings_ratio": 32.733918128655,
    "forward_price_to_earnings_ratio": null,
    "earnings_growth_rate": 22.1428571428572,
    "price_earnings_to_growth_ratio": 1.47830598000377,
    "book_value_per_share": 40.9821802558671,
    "price_to_book_ratio": 2.73167506709146,
    "ebitda": 813459000.0,
    "enterprise_value": 14575875050.0,
    "dividend_yield": 0.0394713518649915,
    "dividend_payout_ratio": 1.25075201214059,
    "debt_to_equity_ratio": 1.68522641927056,
    "capital_expenditures": null,
    "free_cash_flow": null,
    "return_on_equity": 0.0930787484148349,
    "one_year_beta": 0.444652528212139,
    "three_year_beta": 0.812310294679976,
    "five_year_beta": 1.03075947900997
  },
  ...
]

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.