Autozone (AZO) Change in Taxes (2009 - 2026)
Autozone (AZO) recorded Change in Taxes of $21.04 million in fiscal Q3 2026 (quarter ended May 9, 2026), compared with -$34.64 million a year earlier and down 70.2% from the prior quarter.
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Analysis
Autozone (AZO) Change in Taxes (2009 - 2026) Analysis & Trends
On a TTM basis, Autozone's Change in Taxes came in at $138.7 million as of May 9, 2026, down 61.7% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $68.45 million, down 76.9% from FY2024.
- Annual Change in Taxes has a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Taxes came in at $296.4 million in FY2024 (+219.3%), $92.83 million in FY2023, -$10.52 million in FY2022 and $29.47 million in FY2021 (-67.3%).
- Quarterly Change in Taxes has ranged from -$94.64 million in fiscal Q2 2022 to $226.65 million in fiscal Q4 2024 over the past five years.
- Peak year-over-year performance for Change in Taxes in the last five years was growth of 687.2% in fiscal Q4 2024, against a decline of 91.7% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $70.6 million (Q2 2026), $114.58 million (Q1 2026) and -$67.51 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -552.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 18.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | -123.35 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | -34.79 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 21.04 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 21.04 Mn |
| Feb 14, 2026 | 70.60 Mn |
| Nov 22, 2025 | 114.58 Mn |
| Aug 30, 2025 | -67.51 Mn |
| May 10, 2025 | -34.64 Mn |
| Feb 15, 2025 | 67.57 Mn |
| Nov 23, 2024 | 103.02 Mn |
| Aug 31, 2024 | 226.65 Mn |
| May 4, 2024 | -26.54 Mn |
| Feb 10, 2024 | -511,000.00 |
| Nov 18, 2023 | 96.79 Mn |
| Aug 26, 2023 | 28.79 Mn |
| May 6, 2023 | -23.36 Mn |
| Feb 11, 2023 | 13.45 Mn |
| Nov 19, 2022 | 73.95 Mn |
| Aug 27, 2022 | -24.40 Mn |
| May 7, 2022 | 1.11 Mn |
| Feb 12, 2022 | -94.64 Mn |
| Nov 20, 2021 | 107.41 Mn |
| Aug 28, 2021 | 6.48 Mn |
API Access
Autozone Change in Taxes API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-taxes&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "AZO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();