Key Metrics API for L3HARRIS TECHNOLOGIES, INC. /DE/ (LHX)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "LHX",
    "central_index_key": "0000202058",
    "registrant_name": "L3HARRIS TECHNOLOGIES, INC. /DE/",
    "fiscal_year": "2025",
    "period_end_date": "2026-01-02",
    "earnings_per_share": 8.57,
    "earnings_per_share_forecast": null,
    "price_to_earnings_ratio": 35.5285880980163,
    "forward_price_to_earnings_ratio": null,
    "earnings_growth_rate": 8.34386852085967,
    "price_earnings_to_growth_ratio": 4.25804745235317,
    "book_value_per_share": 104.775880469584,
    "price_to_book_ratio": 2.90601232492997,
    "ebitda": 2775000000.0,
    "enterprise_value": 66433552000.0,
    "dividend_yield": null,
    "dividend_payout_ratio": null,
    "debt_to_equity_ratio": 0.531856378915202,
    "capital_expenditures": 1083000000.0,
    "free_cash_flow": 2023000000.0,
    "return_on_equity": 0.0817927170868347,
    "one_year_beta": 0.402890356274407,
    "three_year_beta": 0.430879556508691,
    "five_year_beta": 0.433938015697092
  },
  ...
]

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.