Marinemax (HZO) Operating Expenses (2010 - 2026)
Marinemax's Operating Expenses was $180.86 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.1% from $172.11 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Marinemax (HZO) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marinemax's Operating Expenses was $684.46 million through Jun 30, 2026, up 7.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $647.16 million, down 3.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $672.97 million in FY2024 (+6.1%), $634.53 million in FY2023 (+17.4%), $540.55 million in FY2022 (+20.1%) and $449.97 million in FY2021 (+54.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses since fiscal Q3 2024.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 1.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2021 (growth of 56.3%); the worst was fiscal Q1 2025 (a decline of 16.5%).
- Per Business Quant data, HZO's Operating Expenses in the three fiscal quarters before Q3 2026 was $170.45 million (Q2 2026), $155.55 million (Q1 2026) and $177.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,687.96 Bn | 2,204.65 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 323.48 Bn | 316.72 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.21 Bn | 139.76 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 113.44 Bn | 106.40 Bn | 8.58 Bn | 4.46 Bn |
| 5 | O Reilly Automotive | 75.50 Bn | 74.58 Bn | 2.52 Bn | 1.53 Bn |
| 6 | Ross Stores | 74.54 Bn | 57.46 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 70.26 Bn | 64.85 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 53.46 Bn | 52.36 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.28 Bn | 32.77 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Marinemax | 1.16 Bn | 462.82 Mn | 218.08 Mn | 180.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 180.86 Mn |
| Mar 31, 2026 | 170.45 Mn |
| Dec 31, 2025 | 155.55 Mn |
| Sep 30, 2025 | 177.60 Mn |
| Jun 30, 2025 | 172.11 Mn |
| Mar 31, 2025 | 166.77 Mn |
| Dec 31, 2024 | 130.68 Mn |
| Sep 30, 2024 | 166.40 Mn |
| Jun 30, 2024 | 181.07 Mn |
| Mar 31, 2024 | 169.02 Mn |
| Dec 31, 2023 | 156.48 Mn |
| Sep 30, 2023 | 169.40 Mn |
| Jun 30, 2023 | 169.23 Mn |
| Mar 31, 2023 | 145.50 Mn |
| Dec 31, 2022 | 150.40 Mn |
| Sep 30, 2022 | 145.85 Mn |
| Jun 30, 2022 | 141.17 Mn |
| Mar 31, 2022 | 133.53 Mn |
| Dec 31, 2021 | 120.00 Mn |
| Sep 30, 2021 | 130.85 Mn |
API Access
Marinemax Operating Expenses 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=operating-expenses&ticker=HZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();