Autozone (AZO) Property, Plant & Equipment (Net) (2009 - 2026)
Autozone's Property, Plant & Equipment (Net) was $7.8 billion in fiscal Q3 2026 (quarter ended May 9, 2026), up 15.9% from $6.73 billion a year earlier and up 3.2% from the prior quarter.
Autozone (AZO) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Property, Plant & Equipment (Net) at Autozone came in at $7.06 billion, up 14.2% from FY2024.
- Property, Plant & Equipment (Net) has now increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $6.18 billion in FY2024 (+10.5%), $5.6 billion in FY2023 (+8.2%), $5.17 billion in FY2022 (+6.5%) and $4.86 billion in FY2021 (+7.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2009.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 64 straight quarters, with growth averaging 12.9% over the last eight quarters.
- The year-over-year growth in Property, Plant & Equipment (Net) has ranged between 5.4% (fiscal Q2 2022) and 17.1% (fiscal Q2 2026) over the last five years.
- Per Business Quant data, AZO's Property, Plant & Equipment (Net) in the three fiscal quarters before Q3 2026 was $7.55 billion (Q2 2026), $7.24 billion (Q1 2026) and $7.06 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | 14.13 Bn |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 7.80 Bn |
| Feb 14, 2026 | 7.55 Bn |
| Nov 22, 2025 | 7.24 Bn |
| Aug 30, 2025 | 7.06 Bn |
| May 10, 2025 | 6.73 Bn |
| Feb 15, 2025 | 6.45 Bn |
| Nov 23, 2024 | 6.28 Bn |
| Aug 31, 2024 | 6.18 Bn |
| May 4, 2024 | 6.05 Bn |
| Feb 10, 2024 | 5.91 Bn |
| Nov 18, 2023 | 5.71 Bn |
| Aug 26, 2023 | 5.60 Bn |
| May 6, 2023 | 5.33 Bn |
| Feb 11, 2023 | 5.24 Bn |
| Nov 19, 2022 | 5.19 Bn |
| Aug 27, 2022 | 5.17 Bn |
| May 7, 2022 | 4.97 Bn |
| Feb 12, 2022 | 4.88 Bn |
| Nov 20, 2021 | 4.86 Bn |
| Aug 28, 2021 | 4.86 Bn |
Autozone Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();