Autozone (AZO) Buildings (2009 - 2025)
Autozone (AZO) reported Buildings of $5.79 billion for fiscal Q4 2025 (quarter ended Aug 30, 2025), up 13.0% from $5.12 billion a year earlier.
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Analysis
Autozone (AZO) Buildings (2009 - 2025) Analysis & Trends
Dating back to fiscal Q4 2009, Autozone's Buildings record includes 17 quarters.
- Buildings has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By fiscal year, Buildings came in at $5.12 billion in FY2024 (+5.4%), $4.86 billion in FY2023 (+8.3%), $4.49 billion in FY2022 (+4.9%) and $4.28 billion in FY2021 (+6.4%).
- The fiscal Q4 2025 figure ranks as the highest quarterly Buildings in data going back to fiscal Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2025 | 5.79 Bn |
| Aug 31, 2024 | 5.12 Bn |
| Aug 26, 2023 | 4.86 Bn |
| Aug 27, 2022 | 4.49 Bn |
| Aug 28, 2021 | 4.28 Bn |
| Aug 29, 2020 | 4.02 Bn |
| Aug 31, 2019 | 3.90 Bn |
| Aug 25, 2018 | 3.70 Bn |
| Aug 26, 2017 | 3.42 Bn |
| Aug 27, 2016 | 3.17 Bn |
| Aug 29, 2015 | 2.99 Bn |
| Aug 30, 2014 | 2.80 Bn |
| Aug 31, 2013 | 2.61 Bn |
| Aug 25, 2012 | 2.40 Bn |
| Aug 27, 2011 | 2.18 Bn |
| Aug 28, 2010 | 2.01 Bn |
| Aug 29, 2009 | 1.90 Bn |
API Access
Autozone Buildings 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=buildings&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();