ALBEMARLE CORP (ALB) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "ALB",
    "central_index_key": "0000915913",
    "registrant_name": "ALBEMARLE CORP",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": -5.76,
    "earnings_per_share_forecast": 11.25,
    "price_to_earnings_ratio": -24.5555555555556,
    "forward_price_to_earnings_ratio": 12.5724444444444,
    "earnings_growth_rate": -48.5714285714286,
    "price_earnings_to_growth_ratio": 0.505555555555556,
    "book_value_per_share": 81.0219353413109,
    "price_to_book_ratio": 1.74570009225494,
    "ebitda": 300532000.0,
    "enterprise_value": 18292013160.0,
    "dividend_yield": 0.013706019121708,
    "dividend_payout_ratio": -0.446706800253805,
    "debt_to_equity_ratio": 0.342755994341977,
    "capital_expenditures": -60381000.0,
    "free_cash_flow": 1342648000.0,
    "return_on_equity": -0.05356219970598,
    "one_year_beta": 1.66842293923124,
    "three_year_beta": 1.72618656869768,
    "five_year_beta": 1.5637755683446
  },
  ...
]

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.