Autozone (AZO) Cash & Equivalents (2009 - 2026)
Autozone (AZO) recorded Cash & Equivalents of $253.73 million in fiscal Q3 2026 (quarter ended May 9, 2026), down 5.5% from $268.63 million a year earlier and down 11.1% from the prior quarter.
Powered by 
Analysis
Autozone (AZO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Autozone reported Cash & Equivalents of $271.8 million, down 8.8% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -31.1% (FY2020 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $298.17 million in FY2024 (+7.6%), $277.05 million in FY2023 (+4.8%), $264.38 million in FY2022 (-77.4%) and $1.17 billion in FY2021 (-33.1%).
- The fiscal Q3 2026 figure is the lowest quarterly Cash & Equivalents since fiscal Q2 2022.
- On a year-over-year basis, Cash & Equivalents has declined for six consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 25.8% in fiscal Q2 2023, against a decline of 77.4% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $285.49 million (Q2 2026), $287.64 million (Q1 2026) and $271.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 262.18 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 253.73 Mn |
| 10 | JD.com | 31.99 Bn | -78.19 Bn | 8.71 Bn | 13.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 253.73 Mn |
| Feb 14, 2026 | 285.49 Mn |
| Nov 22, 2025 | 287.64 Mn |
| Aug 30, 2025 | 271.80 Mn |
| May 10, 2025 | 268.63 Mn |
| Feb 15, 2025 | 300.91 Mn |
| Nov 23, 2024 | 304.02 Mn |
| Aug 31, 2024 | 298.17 Mn |
| May 4, 2024 | 275.36 Mn |
| Feb 10, 2024 | 304.10 Mn |
| Nov 18, 2023 | 282.98 Mn |
| Aug 26, 2023 | 277.05 Mn |
| May 6, 2023 | 274.92 Mn |
| Feb 11, 2023 | 301.29 Mn |
| Nov 19, 2022 | 269.79 Mn |
| Aug 27, 2022 | 264.38 Mn |
| May 7, 2022 | 263.04 Mn |
| Feb 12, 2022 | 239.42 Mn |
| Nov 20, 2021 | 961.13 Mn |
| Aug 28, 2021 | 1.17 Bn |
API Access
Autozone Cash & Equivalents 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=cash-and-equivalents&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();