BEST BUY CO., INC.: gross profit

What this measure means

Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.

Exact concept: us-gaap:GrossProfit. 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 2007-03-04 to 2026-01-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• BEST BUY CO., INC.: total assets
• BEST BUY CO., INC.: stockholders equity
• BEST BUY CO., INC.: cash and cash equivalents
• BEST BUY CO., INC.: net income or loss
• BEST BUY CO., INC.: operating cash flow
• BEST BUY CO., INC.: capital expenditure payments
• BEST BUY CO., INC.: revenue
• BEST BUY CO., INC.: financing cash flow
• BEST BUY CO., INC.: investing cash flow
• BEST BUY CO., INC.: retained earnings or deficit
• BEST BUY CO., INC.: basic weighted-average shares
• BEST BUY CO., INC.: diluted weighted-average shares
• BEST BUY CO., INC.: basic earnings per share
• BEST BUY CO., INC.: diluted earnings per share
• BEST BUY CO., INC.: income tax expense or benefit
• BEST BUY CO., INC.: net property, plant and equipment
• BEST BUY CO., INC.: share-based compensation expense
• BEST BUY CO., INC.: operating income or loss
• BEST BUY CO., INC.: current assets
• BEST BUY CO., INC.: interest expense
• BEST BUY CO., INC.: current liabilities
• BEST BUY CO., INC.: current accounts payable
• BEST BUY CO., INC.: goodwill carrying amount
• BEST BUY CO., INC.: common-stock repurchase payments
• BEST BUY CO., INC.: net inventory
• BEST BUY CO., INC.: selling, general and administrative expense

Inspect the source

Entity

BEST BUY CO., INC. / CIK 0000764478

Captured

2026-09-19T15:02:35.563Z

SEC response SHA-256

23c347e5f9ca532b3f9c3fd5e71d5a7eff3cff55d99119f1df49cea6c88ba37a

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/0000764478.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"])))