Autozone (AZO) Change in Inventory (2009 - 2026)
Autozone (AZO) reported Change in Inventory of $176.29 million for fiscal Q4 2026 (quarter ended Aug 29, 2026), down 29.9% from $251.59 million a year earlier.
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Analysis
Autozone (AZO) Change in Inventory (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 29, 2026), Autozone posted Change in Inventory of $832.8 million, down 6.8% from FY2025.
- Change in Inventory has a five-year compound annual growth rate of 43.2% (FY2021 to FY2026).
- By fiscal year, Change in Inventory came in at $893.91 million in FY2025 (+97.3%), $453.1 million in FY2024 (+408.1%), $89.18 million in FY2023 (-91.1%) and $1.01 billion in FY2022 (+626.0%).
- Five-year quarterly Change in Inventory spans a low of -$68.38 million in fiscal Q3 2023 and a high of $347.04 million in fiscal Q2 2026.
- Year over year, Change in Inventory gained in six of the last eight quarters, with growth averaging 95.2%.
- 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%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 4.52 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 110.41 Mn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 160.24 Mn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 932.00 Mn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 192.00 Mn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 176.29 Mn |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 176.29 Mn |
| 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 |
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();