Autozone (AZO) Capital Expenditures (2009 - 2026)
Autozone's Capital Expenditures was $345.51 million in fiscal Q3 2026 (quarter ended May 9, 2026), down 0.1% from $345.89 million a year earlier but up 2.3% from the prior quarter.
Autozone (AZO) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Autozone's Capital Expenditures was $1.44 billion through May 9, 2026, up 16.8% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $1.33 billion, up 23.7% from FY2024.
- Capital Expenditures has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 23.7% (FY2020 to FY2025).
- In earlier fiscal years, Capital Expenditures was $1.07 billion in FY2024 (+34.6%), $796.66 million in FY2023 (+18.5%), $672.39 million in FY2022 (+8.1%) and $621.77 million in FY2021 (+35.8%).
- Quarterly Capital Expenditures has moved between $102.27 million (fiscal Q1 2022) and $441.63 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures was higher in six of the last eight quarters, with growth averaging 16.4%.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q1 2024 (growth of 105.8%); the worst was fiscal Q2 2022 (a decline of 15.7%).
- Per Business Quant data, AZO's Capital Expenditures in the three fiscal quarters before Q3 2026 was $337.8 million (Q2 2026), $314.17 million (Q1 2026) and $441.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 345.51 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -443.00 Mn |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 345.51 Mn |
| Feb 14, 2026 | 337.80 Mn |
| Nov 22, 2025 | 314.17 Mn |
| Aug 30, 2025 | 441.63 Mn |
| May 10, 2025 | 345.89 Mn |
| Feb 15, 2025 | 292.70 Mn |
| Nov 23, 2024 | 247.04 Mn |
| Aug 31, 2024 | 346.79 Mn |
| May 4, 2024 | 235.10 Mn |
| Feb 10, 2024 | 255.38 Mn |
| Nov 18, 2023 | 235.43 Mn |
| Aug 26, 2023 | 366.22 Mn |
| May 6, 2023 | 171.21 Mn |
| Feb 11, 2023 | 144.84 Mn |
| Nov 19, 2022 | 114.40 Mn |
| Aug 27, 2022 | 303.04 Mn |
| May 7, 2022 | 161.21 Mn |
| Feb 12, 2022 | 105.87 Mn |
| Nov 20, 2021 | 102.27 Mn |
| Aug 28, 2021 | 246.11 Mn |
Autozone Capital Expenditures 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=capital-expenditures&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();