GameStop Corp.: share-based compensation expense

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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 2007-02-04 to 2026-01-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• GameStop Corp.: total assets
• GameStop Corp.: total liabilities
• GameStop Corp.: stockholders equity
• GameStop Corp.: cash and cash equivalents
• GameStop Corp.: net income or loss
• GameStop Corp.: operating cash flow
• GameStop Corp.: capital expenditure payments
• GameStop Corp.: revenue
• GameStop Corp.: contract revenue excluding tax
• GameStop Corp.: financing cash flow
• GameStop Corp.: investing cash flow
• GameStop Corp.: retained earnings or deficit
• GameStop Corp.: basic weighted-average shares
• GameStop Corp.: diluted weighted-average shares
• GameStop Corp.: basic earnings per share
• GameStop Corp.: diluted earnings per share
• GameStop Corp.: income tax expense or benefit
• GameStop Corp.: net property, plant and equipment
• GameStop Corp.: operating income or loss
• GameStop Corp.: current assets
• GameStop Corp.: interest expense
• GameStop Corp.: current liabilities
• GameStop Corp.: current accounts payable
• GameStop Corp.: goodwill carrying amount
• GameStop Corp.: common-stock repurchase payments
• GameStop Corp.: net inventory
• GameStop Corp.: gross profit
• GameStop Corp.: cost of revenue
• GameStop Corp.: selling, general and administrative expense

Inspect the source

Entity

GameStop Corp. / CIK 0001326380

Captured

2026-09-19T11:17:34.913Z

SEC response SHA-256

43df6a94125eb64f98f4cf94dc9ab3afaa28163b05d71c593ec4de6685a4b808

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/0001326380.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"])))