CATERPILLAR INC (CAT) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "CAT",
    "central_index_key": "0000018230",
    "registrant_name": "CATERPILLAR INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 18.9,
    "earnings_per_share_forecast": 27.49,
    "price_to_earnings_ratio": 30.310582010582,
    "forward_price_to_earnings_ratio": 20.8392142597308,
    "earnings_growth_rate": -14.7496617050068,
    "price_earnings_to_growth_ratio": -2.05500184457065,
    "book_value_per_share": 45.3574468085106,
    "price_to_book_ratio": 12.630120086312,
    "ebitda": 13350000000.0,
    "enterprise_value": 295478900000.0,
    "dividend_yield": 0.010354731254241,
    "dividend_payout_ratio": 0.313893267282144,
    "debt_to_equity_ratio": 1.69856459330144,
    "capital_expenditures": 4041000000.0,
    "free_cash_flow": 7698000000.0,
    "return_on_equity": 0.416643212308847,
    "one_year_beta": 1.13527133933266,
    "three_year_beta": 1.14492804074378,
    "five_year_beta": 0.970277692552069
  },
  ...
]

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.