IRON MOUNTAIN INC (IRM) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "IRM",
    "central_index_key": "0001020569",
    "registrant_name": "IRON MOUNTAIN INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 0.49,
    "earnings_per_share_forecast": 5.42,
    "price_to_earnings_ratio": 169.285714285714,
    "forward_price_to_earnings_ratio": 15.3044280442804,
    "earnings_growth_rate": -19.672131147541,
    "price_earnings_to_growth_ratio": -8.60535714285714,
    "book_value_per_share": -3.32091075581494,
    "price_to_book_ratio": -24.9780876690992,
    "ebitda": 2127630000.0,
    "enterprise_value": 40993176850.0,
    "dividend_yield": 0.0394349765157814,
    "dividend_payout_ratio": 6.34664442313502,
    "debt_to_equity_ratio": -16.9703508741528,
    "capital_expenditures": 2939161000.0,
    "free_cash_flow": -1599162000.0,
    "return_on_equity": -0.155201746776527,
    "one_year_beta": 1.00488043035477,
    "three_year_beta": 0.966746201367055,
    "five_year_beta": 0.879322766329377
  },
  ...
]

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.