Key Metrics API for ROPER TECHNOLOGIES INC (ROP)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "ROP",
    "central_index_key": "0000882835",
    "registrant_name": "ROPER TECHNOLOGIES INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 14.3,
    "earnings_per_share_forecast": 22.22,
    "price_to_earnings_ratio": 31.127972027972,
    "forward_price_to_earnings_ratio": 20.0328532853285,
    "earnings_growth_rate": -1.17484450587422,
    "price_earnings_to_growth_ratio": -26.4953973673387,
    "book_value_per_share": 185.116387337058,
    "price_to_book_ratio": 2.40459532731434,
    "ebitda": 3173700000.0,
    "enterprise_value": 57515762000.0,
    "dividend_yield": 0.00764532998352834,
    "dividend_payout_ratio": 0.237909262513832,
    "debt_to_equity_ratio": 0.503292005130398,
    "capital_expenditures": 905400000.0,
    "free_cash_flow": 1634900000.0,
    "return_on_equity": 0.0772728415863994,
    "one_year_beta": 0.594330888692884,
    "three_year_beta": 0.69108793866354,
    "five_year_beta": 0.731706849674081
  },
  ...
]

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.