Key Metrics API for Parker-Hannifin Corp (PH)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "PH",
    "central_index_key": "0000076334",
    "registrant_name": "Parker-Hannifin Corp",
    "fiscal_year": "2026",
    "period_end_date": "2026-06-30",
    "earnings_per_share": 28.89,
    "earnings_per_share_forecast": 35.29,
    "price_to_earnings_ratio": 33.8566978193146,
    "forward_price_to_earnings_ratio": 27.7166336072542,
    "earnings_growth_rate": 4.97819767441861,
    "price_earnings_to_growth_ratio": 6.80099506560247,
    "book_value_per_share": 122.034837688044,
    "price_to_book_ratio": 8.01508830208266,
    "ebitda": 5698000000.0,
    "enterprise_value": 131213556000.0,
    "dividend_yield": 0.00757670466384056,
    "dividend_payout_ratio": 0.256508632502055,
    "debt_to_equity_ratio": 0.53090106465853,
    "capital_expenditures": 667000000.0,
    "free_cash_flow": 3697000000.0,
    "return_on_equity": 0.236886522981044,
    "one_year_beta": 0.867405086858735,
    "three_year_beta": 1.23993961507454,
    "five_year_beta": 1.17494147772349
  },
  ...
]

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.