Cencora, Inc. (COR) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "COR",
    "central_index_key": "0001140859",
    "registrant_name": "Cencora, Inc.",
    "fiscal_year": "2025",
    "period_end_date": "2025-09-30",
    "earnings_per_share": 8.02,
    "earnings_per_share_forecast": 17.87,
    "price_to_earnings_ratio": 38.9688279301746,
    "forward_price_to_earnings_ratio": 17.4890878567431,
    "earnings_growth_rate": 5.52631578947369,
    "price_earnings_to_growth_ratio": 7.05150219688872,
    "book_value_per_share": 7.78051284697142,
    "price_to_book_ratio": 40.1683033171333,
    "ebitda": 3176444000.0,
    "enterprise_value": 63996984600.0,
    "dividend_yield": 0.00721558632548553,
    "dividend_payout_ratio": 0.28123132040338,
    "debt_to_equity_ratio": 5.15812997051098,
    "capital_expenditures": 1408741000.0,
    "free_cash_flow": 2466379000.0,
    "return_on_equity": 1.03060306269351,
    "one_year_beta": 0.0193181028880444,
    "three_year_beta": 0.103137051337967,
    "five_year_beta": 0.316418692614682
  },
  ...
]

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.