STEEL DYNAMICS INC (STLD) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "STLD",
    "central_index_key": "0001022671",
    "registrant_name": "STEEL DYNAMICS INC",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 8.02,
    "earnings_per_share_forecast": 18.13,
    "price_to_earnings_ratio": 21.1284289276808,
    "forward_price_to_earnings_ratio": 9.34638720353006,
    "earnings_growth_rate": -18.9079878665319,
    "price_earnings_to_growth_ratio": -1.11743402189713,
    "book_value_per_share": 60.4198138099942,
    "price_to_book_ratio": 2.80454356468028,
    "ebitda": 2059585000.0,
    "enterprise_value": 28521666700.0,
    "dividend_yield": 0.0117437997916028,
    "dividend_payout_ratio": 0.248088090789857,
    "debt_to_equity_ratio": 0.474012697296985,
    "capital_expenditures": 1002868000.0,
    "free_cash_flow": 446666000.0,
    "return_on_equity": 0.132362499723685,
    "one_year_beta": 1.21088910712853,
    "three_year_beta": 1.20168194666633,
    "five_year_beta": 1.1523023422324
  },
  ...
]

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.