Autozone (AZO) Change in Inventory (2009 - 2026)
Autozone (AZO) reported Change in Inventory of $104.14 million for fiscal Q3 2026 (quarter ended May 9, 2026), down 44.7% from $188.21 million a year earlier and down 70.0% from the prior quarter.
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Analysis
Autozone (AZO) Change in Inventory (2009 - 2026) Analysis & Trends
Over the twelve months ended May 9, 2026, Autozone's Change in Inventory came in at $908.1 million, up 22.5% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $893.91 million, up 97.3% from FY2024.
- Change in Inventory has a five-year compound annual growth rate of 37.2% (FY2020 to FY2025).
- By fiscal year, Change in Inventory came in at $453.1 million in FY2024 (+408.1%), $89.18 million in FY2023 (-91.1%), $1.01 billion in FY2022 (+626.0%) and $138.52 million in FY2021 (-24.8%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Change in Inventory since fiscal Q4 2024.
- Year over year, Change in Inventory gained in six of the last seven quarters, with growth averaging 113.1%.
- The high point for year-over-year Change in Inventory in five years was fiscal Q1 2025 (growth of 521.9%); the low point was fiscal Q1 2023 (a decline of 71.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $347.04 million (Q2 2026), $205.34 million (Q1 2026) and $251.59 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 104.14 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 104.14 Mn |
| Feb 14, 2026 | 347.04 Mn |
| Nov 22, 2025 | 205.34 Mn |
| Aug 30, 2025 | 251.59 Mn |
| May 10, 2025 | 188.21 Mn |
| Feb 15, 2025 | 317.93 Mn |
| Nov 23, 2024 | 136.18 Mn |
| Aug 31, 2024 | 99.29 Mn |
| May 4, 2024 | 155.39 Mn |
| Feb 10, 2024 | 176.53 Mn |
| Nov 18, 2023 | 21.90 Mn |
| Aug 26, 2023 | -3.98 Mn |
| May 6, 2023 | -68.38 Mn |
| Feb 11, 2023 | 122.24 Mn |
| Nov 19, 2022 | 39.31 Mn |
| Aug 27, 2022 | 334.60 Mn |
| May 7, 2022 | 277.63 Mn |
| Feb 12, 2022 | 256.47 Mn |
| Nov 20, 2021 | 136.99 Mn |
| Aug 28, 2021 | -23.75 Mn |
API Access
Autozone Change in Inventory 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-inventory&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();