CINTAS CORP (CTAS) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "CTAS",
    "central_index_key": "0000723254",
    "registrant_name": "CINTAS CORP",
    "fiscal_year": "2026",
    "period_end_date": "2026-05-31",
    "earnings_per_share": 4.97,
    "earnings_per_share_forecast": 5.52,
    "price_to_earnings_ratio": 34.7887323943662,
    "forward_price_to_earnings_ratio": 31.3224637681159,
    "earnings_growth_rate": 10.9375,
    "price_earnings_to_growth_ratio": 3.18068410462777,
    "book_value_per_share": 12.8091445346864,
    "price_to_book_ratio": 13.4981691815404,
    "ebitda": 3021199000.0,
    "enterprise_value": 71518119300.0,
    "dividend_yield": 0.0104414783812528,
    "dividend_payout_ratio": 0.362215795452727,
    "debt_to_equity_ratio": 0.472398128596991,
    "capital_expenditures": 600873000.0,
    "free_cash_flow": 1675407000.0,
    "return_on_equity": 0.389107386991193,
    "one_year_beta": 0.486037886887178,
    "three_year_beta": 0.668919926674061,
    "five_year_beta": 0.817255229022977
  },
  ...
]

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.