Marinemax (HZO) Accumulated Expenses (2010 - 2026)
Marinemax (HZO) posted Accumulated Expenses of $128.38 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.8% from $116.89 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Marinemax (HZO) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Marinemax's Accumulated Expenses came in at $121.04 million, down 38.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- In prior fiscal years, Marinemax's Accumulated Expenses was $197.3 million in FY2024 (+75.0%), $112.75 million in FY2023 (+26.1%), $89.4 million in FY2022 (+3.2%) and $86.59 million in FY2021 (+67.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Accumulated Expenses since fiscal Q2 2025.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 3.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2024, with growth of 75.0%; the weakest was fiscal Q3 2025, with a decline of 40.7%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $122.43 million (Q2 2026), $107.05 million (Q1 2026) and $121.04 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn |
| 10 | Marinemax | 1.16 Bn | 462.42 Mn | 218.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.38 Mn |
| Mar 31, 2026 | 122.43 Mn |
| Dec 31, 2025 | 107.05 Mn |
| Sep 30, 2025 | 121.04 Mn |
| Jun 30, 2025 | 116.89 Mn |
| Mar 31, 2025 | 172.16 Mn |
| Dec 31, 2024 | 164.15 Mn |
| Sep 30, 2024 | 197.30 Mn |
| Jun 30, 2024 | 196.99 Mn |
| Mar 31, 2024 | 124.33 Mn |
| Dec 31, 2023 | 112.42 Mn |
| Sep 30, 2023 | 112.75 Mn |
| Jun 30, 2023 | 118.58 Mn |
| Mar 31, 2023 | 113.80 Mn |
| Dec 31, 2022 | 101.80 Mn |
| Sep 30, 2022 | 89.40 Mn |
| Jun 30, 2022 | 97.09 Mn |
| Mar 31, 2022 | 95.75 Mn |
| Dec 31, 2021 | 81.44 Mn |
| Sep 30, 2021 | 86.59 Mn |
API Access
Marinemax Accumulated 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=accumulated-expenses&ticker=HZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();