Key Metrics API for NUCOR CORP (NUE)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "NUE",
    "central_index_key": "0000073309",
    "registrant_name": "NUCOR CORP",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 7.53,
    "earnings_per_share_forecast": 19.62,
    "price_to_earnings_ratio": 21.6613545816733,
    "forward_price_to_earnings_ratio": 8.31345565749236,
    "earnings_growth_rate": -11.0979929161747,
    "price_earnings_to_growth_ratio": -1.95182631177418,
    "book_value_per_share": 95.899436497616,
    "price_to_book_ratio": 1.70084419634786,
    "ebitda": 2168000000.0,
    "enterprise_value": 42400477000.0,
    "dividend_yield": 0.0135797794904245,
    "dividend_payout_ratio": 0.293004587155963,
    "debt_to_equity_ratio": 0.33583301490256,
    "capital_expenditures": 2317000000.0,
    "free_cash_flow": 917000000.0,
    "return_on_equity": 0.0833014902560183,
    "one_year_beta": 1.19888169433478,
    "three_year_beta": 1.17817382280958,
    "five_year_beta": 1.16231294010248
  },
  ...
]

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.