Autozone (AZO) Return on Capital Employed [ROCE] (2009 - 2026)
Autozone (AZO) reported Return on Capital Employed [ROCE] of 33.85% for fiscal Q3 2026 (quarter ended May 9, 2026), down 7.83 percentage points from 41.68% a year earlier and down 1.14 percentage points from the prior quarter.
Autozone (AZO) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025 (ended Aug 30, 2025), Autozone posted Return on Capital Employed [ROCE] of 41.28%, down 6.88 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined for three consecutive fiscal years, though with a five-year change of +0.14 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Capital Employed [ROCE] came in at 48.16% in FY2024 (-0.64 pp), 48.80% in FY2023 (-3.06 pp), 51.86% in FY2022 (+10.39 pp) and 41.47% in FY2021 (+0.33 pp).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] since fiscal Q1 2021.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last eight quarters, with an average year-over-year change of -6.08 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q1 2022 (a gain of 16.67 percentage points); the low point was fiscal Q2 2026 (a drop of 8.94 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 34.99% (Q2 2026), 36.64% (Q1 2026) and 38.13% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 11.49% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 30.02% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 30.97% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 15.67% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 18.45% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 47.86% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 33.85% |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | 0.46% |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 33.85% |
| Feb 14, 2026 | 34.99% |
| Nov 22, 2025 | 36.64% |
| Aug 30, 2025 | 38.13% |
| May 10, 2025 | 41.68% |
| Feb 15, 2025 | 43.93% |
| Nov 23, 2024 | 44.84% |
| Aug 31, 2024 | 44.95% |
| May 4, 2024 | 48.11% |
| Feb 10, 2024 | 47.50% |
| Nov 18, 2023 | 48.95% |
| Aug 26, 2023 | 47.72% |
| May 6, 2023 | 47.21% |
| Feb 11, 2023 | 48.16% |
| Nov 19, 2022 | 49.18% |
| Aug 27, 2022 | 51.84% |
| May 7, 2022 | 51.50% |
| Feb 12, 2022 | 49.03% |
| Nov 20, 2021 | 48.18% |
| Aug 28, 2021 | 42.32% |
Autozone Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();