ABBOTT LABORATORIES (ABT) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "ABT",
    "central_index_key": "0000001800",
    "registrant_name": "ABBOTT LABORATORIES",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 3.73,
    "earnings_per_share_forecast": 5.52,
    "price_to_earnings_ratio": 33.5898123324397,
    "forward_price_to_earnings_ratio": 22.6974637681159,
    "earnings_growth_rate": -51.3689700130378,
    "price_earnings_to_growth_ratio": -0.653893047182265,
    "book_value_per_share": 29.9425617461229,
    "price_to_book_ratio": 4.18434471513524,
    "ebitda": 10384000000.0,
    "enterprise_value": 225569890000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 0.306196048340687,
    "capital_expenditures": 2592000000.0,
    "free_cash_flow": 6974000000.0,
    "return_on_equity": 0.125148666794552,
    "one_year_beta": 0.228539431504364,
    "three_year_beta": 0.306584425203983,
    "five_year_beta": 0.541658695720724
  },
  ...
]

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.