Autozone (AZO) Change in Cash (2009 - 2026)
Autozone (AZO) posted Change in Cash of -$31.76 million for fiscal Q3 2026 (quarter ended May 9, 2026), compared with -$32.28 million a year earlier.
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Analysis
Autozone (AZO) Change in Cash (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 9, 2026, Change in Cash at Autozone was -$14.9 million; for FY2025 (ended Aug 30, 2025), it came in at -$26.37 million.
- In prior fiscal years, Autozone's Change in Cash was $21.12 million in FY2024 (+66.6%), $12.67 million in FY2023, -$906.96 million in FY2022 and -$579.48 million in FY2021.
- Quarterly Change in Cash has run from a low of -$721.7 million in fiscal Q2 2022 to a high of $195.69 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Change in Cash increased in two of the last four quarters, with growth averaging 262.6%.
- The strongest year-over-year quarter for Change in Cash in the past five years was fiscal Q4 2024, with growth of 967.1%; the weakest was fiscal Q4 2022, with a decline of 99.3%.
- According to Business Quant data, Change in Cash for the three prior fiscal quarters was -$2.15 million (Q2 2026), $15.84 million (Q1 2026) and $3.18 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | -23.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 500.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 424.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 2.39 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 157.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.88 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 9.55 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 231.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -31.76 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -1.90 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | -31.76 Mn |
| Feb 14, 2026 | -2.15 Mn |
| Nov 22, 2025 | 15.84 Mn |
| Aug 30, 2025 | 3.18 Mn |
| May 10, 2025 | -32.28 Mn |
| Feb 15, 2025 | -3.11 Mn |
| Nov 23, 2024 | 5.85 Mn |
| Aug 31, 2024 | 22.81 Mn |
| May 4, 2024 | -28.74 Mn |
| Feb 10, 2024 | 21.12 Mn |
| Nov 18, 2023 | 5.93 Mn |
| Aug 26, 2023 | 2.14 Mn |
| May 6, 2023 | -26.37 Mn |
| Feb 11, 2023 | 31.50 Mn |
| Nov 19, 2022 | 5.41 Mn |
| Aug 27, 2022 | 1.34 Mn |
| May 7, 2022 | 23.62 Mn |
| Feb 12, 2022 | -721.70 Mn |
| Nov 20, 2021 | -210.21 Mn |
| Aug 28, 2021 | 195.69 Mn |
API Access
Autozone Change in Cash 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=change-in-cash&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();