Marinemax (HZO) Return on Sales [ROS] (2010 - 2026)
Marinemax (HZO) posted Return on Sales [ROS] of 6.09% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.41 percentage points from -6.32% a year earlier and up 4.03 percentage points from the prior quarter.
Marinemax (HZO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Marinemax was 3.04%, up 1.02 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 1.47%, down 3.80 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive fiscal years, with a five-year change of -5.60 percentage points (FY2020 to FY2025).
- In prior fiscal years, Marinemax's Return on Sales [ROS] was 5.27% in FY2024 (-3.11 pp), 8.39% in FY2023 (-3.10 pp), 11.49% in FY2022 (+1.34 pp) and 10.15% in FY2021 (+3.08 pp).
- The fiscal Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] since fiscal Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -1.18 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q3 2026, with a gain of 12.41 percentage points; the weakest was fiscal Q3 2025, with a drop of 14.38 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 2.05% (Q2 2026), 0.97% (Q1 2026) and 2.51% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn | 13.67% |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn | 20.15% |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn | 9.65% |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn | 19.08% |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn | 9.22% |
| 10 | Marinemax | 1.16 Bn | 460.12 Mn | 218.08 Mn | 6.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.09% |
| Mar 31, 2026 | 2.05% |
| Dec 31, 2025 | 0.97% |
| Sep 30, 2025 | 2.51% |
| Jun 30, 2025 | -6.32% |
| Mar 31, 2025 | 3.60% |
| Dec 31, 2024 | 8.32% |
| Sep 30, 2024 | 4.76% |
| Jun 30, 2024 | 8.05% |
| Mar 31, 2024 | 3.67% |
| Dec 31, 2023 | 3.60% |
| Sep 30, 2023 | 5.77% |
| Jun 30, 2023 | 10.33% |
| Mar 31, 2023 | 9.71% |
| Dec 31, 2022 | 7.19% |
| Sep 30, 2022 | 9.49% |
| Jun 30, 2022 | 13.84% |
| Mar 31, 2022 | 11.77% |
| Dec 31, 2021 | 9.99% |
| Sep 30, 2021 | 9.45% |
Marinemax 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=HZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HZO", "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=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();