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AutoZone Inc: selling, general and administrative expense

AutoZone selling, general and administrative expense: $6.36 billion for the year ending 2025-08-30, up 5.4% on the year. 17 values since 2009 from SEC filings.

All AutoZone Inc financial histories

At a glance

AutoZone reported selling, general and administrative expense of $6.36 billion for the year ending 2025-08-30, up 5.4% from $6.03 billion a year earlier. From 2009 to 2025 it grew at a compound 6.7% a year, from $2.24 billion to $6.36 billion. Across the last five reported years it ranged from $4.77 billion (2021-08-28) to $6.36 billion (2025-08-30). That was 33.6% of revenue ($18.9 billion) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

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 2008-08-31 to 2025-08-30. The SEC response was captured on 2026-09-20.

Selected filing history

Selling, general and administrative expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-09-012025-08-306,356,318,000USD2025-10-2710-K · 0001104659-25-102611 SEC
2023-08-272024-08-316,028,344,000USD2025-10-2710-K · 0001104659-25-102611 SEC
2022-08-282023-08-265,596,436,000USD2025-10-2710-K · 0001104659-25-102611 SEC
2021-08-292022-08-275,201,921,000USD2024-10-2810-K · 0001558370-24-013758 SEC
2020-08-302021-08-284,773,258,000USD2023-10-2410-K · 0001558370-23-016668 SEC
2019-09-012020-08-294,353,074,000USD2022-10-2410-K · 0001558370-22-015239 SEC
2018-08-262019-08-314,148,864,000USD2021-10-2510-K · 0001558370-21-013446 SEC
2017-08-272018-08-254,162,890,000USD2020-10-2610-K · 0001558370-20-011748 SEC
2016-08-282017-08-263,659,551,000USD2019-10-2810-K · 0001193125-19-276201 SEC
2015-08-302016-08-273,548,341,000USD2018-10-2410-K · 0001193125-18-306452 SEC
2014-08-312015-08-293,373,980,000USD2017-10-2510-K · 0001193125-17-319357 SEC
2013-09-012014-08-303,104,684,000USD2016-10-2410-K · 0001193125-16-745160 SEC
2012-08-262013-08-312,967,837,000USD2015-10-2610-K · 0001193125-15-353476 SEC
2011-08-282012-08-252,803,145,000USD2014-10-2710-K · 0001193125-14-383401 SEC
2010-08-292011-08-272,624,660,000USD2013-10-2810-K · 0001193125-13-413428 SEC
2009-08-302010-08-282,392,330,000USD2012-10-2210-K · 0001193125-12-430271 SEC
2008-08-312009-08-292,240,387,000USD2011-10-2410-K · 0000950123-11-091540 SEC

Related AUTOZONE INC histories

All 53 AutoZone histories

Inspect the source

Entity
AUTOZONE INC / CIK 0000866787
Captured
SEC response SHA-256
0e652965cdc4fd7aa88190116e50474ffbf31ea6b4451b50b3b784af0eadc4d6

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000866787.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"])))