Autozone (AZO) Return on Sales [ROS] (2009 - 2026)
Autozone (AZO) recorded Return on Sales [ROS] of 19.08% in fiscal Q3 2026 (quarter ended May 9, 2026), down 0.32 percentage points from 19.40% a year earlier but up 2.74 percentage points from the prior quarter.
Autozone (AZO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Autozone's Return on Sales [ROS] came in at 18.02% as of May 9, 2026, down 1.61 percentage points year-over-year; for FY2025 (ended Aug 30, 2025), it was 19.06%, down 1.43 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -0.08 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 20.49% in FY2024 (+0.59 pp), 19.90% in FY2023 (-0.22 pp), 20.12% in FY2022 (unchanged) and 20.13% in FY2021 (+0.99 pp).
- Quarterly Return on Sales [ROS] has ranged from 16.34% in fiscal Q2 2026 to 21.48% in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for eight consecutive quarters, with an average year-over-year change of -1.34 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2.11 percentage points in fiscal Q1 2024, against a drop of 2.71 percentage points in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 16.34% (Q2 2026), 16.94% (Q1 2026) and 19.16% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | 1.31% |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 19.08% |
| Feb 14, 2026 | 16.34% |
| Nov 22, 2025 | 16.94% |
| Aug 30, 2025 | 19.16% |
| May 10, 2025 | 19.40% |
| Feb 15, 2025 | 17.88% |
| Nov 23, 2024 | 19.65% |
| Aug 31, 2024 | 20.90% |
| May 4, 2024 | 21.25% |
| Feb 10, 2024 | 19.26% |
| Nov 18, 2023 | 20.25% |
| Aug 26, 2023 | 21.48% |
| May 6, 2023 | 20.99% |
| Feb 11, 2023 | 18.15% |
| Nov 19, 2022 | 18.14% |
| Aug 27, 2022 | 20.64% |
| May 7, 2022 | 20.33% |
| Feb 12, 2022 | 18.60% |
| Nov 20, 2021 | 20.56% |
| Aug 28, 2021 | 21.25% |
Autozone Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();