Autozone (AZO) Capital Expenditures (2009 - 2026)
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Analysis
Autozone (AZO) Capital Expenditures (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn | 77.26 Bn |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn | 1.37 Bn |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn | 251.26 Mn |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn | 64.00 Mn |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn | 436.10 Mn |
| 10 | JD.com | 40.37 Bn | -79.84 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 436.10 Mn |
| 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 |
API Access
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_KEYimport 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();