Lucid Group, Inc.: 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 2019-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Lucid Group, Inc.: total assets
• Lucid Group, Inc.: total liabilities
• Lucid Group, Inc.: stockholders equity
• Lucid Group, Inc.: cash and cash equivalents
• Lucid Group, Inc.: net income or loss
• Lucid Group, Inc.: operating cash flow
• Lucid Group, Inc.: capital expenditure payments
• Lucid Group, Inc.: revenue
• Lucid Group, Inc.: contract revenue excluding tax
• Lucid Group, Inc.: financing cash flow
• Lucid Group, Inc.: investing cash flow
• Lucid Group, Inc.: retained earnings or deficit
• Lucid Group, Inc.: basic weighted-average shares
• Lucid Group, Inc.: diluted weighted-average shares
• Lucid Group, Inc.: basic earnings per share
• Lucid Group, Inc.: diluted earnings per share
• Lucid Group, Inc.: income tax expense or benefit
• Lucid Group, Inc.: share-based compensation expense
• Lucid Group, Inc.: operating income or loss
• Lucid Group, Inc.: current assets
• Lucid Group, Inc.: interest expense
• Lucid Group, Inc.: current liabilities
• Lucid Group, Inc.: current accounts payable
• Lucid Group, Inc.: net current accounts receivable
• Lucid Group, Inc.: common-stock repurchase payments
• Lucid Group, Inc.: net inventory
• Lucid Group, Inc.: cost of revenue
• Lucid Group, Inc.: research and development expense

Inspect the source

Entity

Lucid Group, Inc. / CIK 0001811210

Captured

2026-09-21T17:33:52.255Z

SEC response SHA-256

52b174f7137efed6f059de5023d0acd44eaef784cd8d2ba018324a4d9957254a

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/0001811210.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"])))