ALBEMARLE CORPORATION: selling, general and administrative expense

What this measure means

Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.

Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• ALBEMARLE CORPORATION: total assets
• ALBEMARLE CORPORATION: stockholders equity
• ALBEMARLE CORPORATION: cash and cash equivalents
• ALBEMARLE CORPORATION: net income or loss
• ALBEMARLE CORPORATION: operating cash flow
• ALBEMARLE CORPORATION: capital expenditure payments
• ALBEMARLE CORPORATION: revenue
• ALBEMARLE CORPORATION: financing cash flow
• ALBEMARLE CORPORATION: investing cash flow
• ALBEMARLE CORPORATION: retained earnings or deficit
• ALBEMARLE CORPORATION: basic weighted-average shares
• ALBEMARLE CORPORATION: diluted weighted-average shares
• ALBEMARLE CORPORATION: basic earnings per share
• ALBEMARLE CORPORATION: diluted earnings per share
• ALBEMARLE CORPORATION: income tax expense or benefit
• ALBEMARLE CORPORATION: net property, plant and equipment
• ALBEMARLE CORPORATION: share-based compensation expense
• ALBEMARLE CORPORATION: operating income or loss
• ALBEMARLE CORPORATION: current assets
• ALBEMARLE CORPORATION: current liabilities
• ALBEMARLE CORPORATION: current accounts payable
• ALBEMARLE CORPORATION: goodwill carrying amount
• ALBEMARLE CORPORATION: net current accounts receivable
• ALBEMARLE CORPORATION: common-stock repurchase payments
• ALBEMARLE CORPORATION: net inventory
• ALBEMARLE CORPORATION: gross profit
• ALBEMARLE CORPORATION: cost of revenue
• ALBEMARLE CORPORATION: research and development expense

Inspect the source

Entity

ALBEMARLE CORPORATION / CIK 0000915913

Captured

2026-09-20T05:07:11.630Z

SEC response SHA-256

5cd3ca4cf5c31719acb1e076eff8056e414212076adbd68b05da1b6bd65b57d2

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000915913.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))