Key Metrics API for NORDSON CORP (NDSN)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "NDSN",
    "central_index_key": "0000072331",
    "registrant_name": "NORDSON CORP",
    "fiscal_year": "2025",
    "period_end_date": "2025-10-31",
    "earnings_per_share": 8.56,
    "earnings_per_share_forecast": 11.86,
    "price_to_earnings_ratio": 27.0969626168224,
    "forward_price_to_earnings_ratio": 19.5573355817875,
    "earnings_growth_rate": 4.77356181150552,
    "price_earnings_to_growth_ratio": 5.67646627126766,
    "book_value_per_share": 53.7676394728474,
    "price_to_book_ratio": 4.3139331068669,
    "ebitda": 815830000.0,
    "enterprise_value": 15332573700.0,
    "dividend_yield": 0.0136384044197847,
    "dividend_payout_ratio": 0.36961529411279,
    "debt_to_equity_ratio": 0.759388888907142,
    "capital_expenditures": 51571000.0,
    "free_cash_flow": 667604000.0,
    "return_on_equity": 0.159179463860051,
    "one_year_beta": 1.08570364712763,
    "three_year_beta": 1.00834002974453,
    "five_year_beta": 0.965400685535918
  },
  ...
]

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.