Autozone (AZO) Cash from Operations (2009 - 2026)
Autozone (AZO) posted Cash from Operations of $801.99 million for fiscal Q3 2026 (quarter ended May 9, 2026), up 4.3% from $769.03 million a year earlier and up 114.8% from the prior quarter.
Autozone (AZO) Cash from Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 9, 2026, Cash from Operations at Autozone was $3.07 billion, down 5.0% year-over-year; for FY2025 (ended Aug 30, 2025), it came in at $3.12 billion, up 3.8% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior fiscal years, Autozone's Cash from Operations was $3 billion in FY2024 (+2.2%), $2.94 billion in FY2023 (-8.4%), $3.21 billion in FY2022 (-8.7%) and $3.52 billion in FY2021 (+29.4%).
- Quarterly Cash from Operations has run from a low of $354.47 million in fiscal Q2 2023 to a high of $1.29 billion in fiscal Q4 2021 over five years.
- On a year-over-year basis, Cash from Operations increased in five of the last eight quarters, with growth averaging 2.6%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was fiscal Q2 2025, with growth of 34.5%; the weakest was fiscal Q2 2026, with a decline of 36.0%.
- According to Business Quant data, Cash from Operations for the three prior fiscal quarters was $373.43 million (Q2 2026), $944.17 million (Q1 2026) and $952.76 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 801.99 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 5.56 Bn |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 801.99 Mn |
| Feb 14, 2026 | 373.43 Mn |
| Nov 22, 2025 | 944.17 Mn |
| Aug 30, 2025 | 952.76 Mn |
| May 10, 2025 | 769.03 Mn |
| Feb 15, 2025 | 583.75 Mn |
| Nov 23, 2024 | 811.80 Mn |
| Aug 31, 2024 | 1.07 Bn |
| May 4, 2024 | 669.48 Mn |
| Feb 10, 2024 | 434.13 Mn |
| Nov 18, 2023 | 830.26 Mn |
| Aug 26, 2023 | 1.07 Bn |
| May 6, 2023 | 724.72 Mn |
| Feb 11, 2023 | 354.47 Mn |
| Nov 19, 2022 | 793.59 Mn |
| Aug 27, 2022 | 1.23 Bn |
| May 7, 2022 | 843.37 Mn |
| Feb 12, 2022 | 361.82 Mn |
| Nov 20, 2021 | 777.93 Mn |
| Aug 28, 2021 | 1.29 Bn |
Autozone Cash from Operations 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-from-operations&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();