Marinemax (HZO) EBITDA (2010 - 2026)
Marinemax (HZO) recorded EBITDA of $49.81 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$29 million a year earlier and up 111.5% from the prior quarter.
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Analysis
Marinemax (HZO) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Marinemax's EBITDA came in at $117.64 million as of Jun 30, 2026, up 24.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $83.34 million, down 51.7% from FY2024.
- Annual EBITDA has declined for three straight fiscal years, with a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $172.71 million in FY2024 (-28.6%), $241.83 million in FY2023 (-15.0%), $284.62 million in FY2022 (+26.5%) and $225.07 million in FY2021 (+88.4%).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA since fiscal Q1 2025.
- On a year-over-year basis, EBITDA rose in two of the last six quarters, with an average decline of 11.9%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 69.0% in fiscal Q1 2025, against a decline of 65.4% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $23.55 million (Q2 2026), $17.5 million (Q1 2026) and $26.78 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Marinemax | 1.16 Bn | 457.26 Mn | 218.08 Mn | 49.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.81 Mn |
| Mar 31, 2026 | 23.55 Mn |
| Dec 31, 2025 | 17.50 Mn |
| Sep 30, 2025 | 26.78 Mn |
| Jun 30, 2025 | -29.00 Mn |
| Mar 31, 2025 | 34.99 Mn |
| Dec 31, 2024 | 50.57 Mn |
| Sep 30, 2024 | 38.20 Mn |
| Jun 30, 2024 | 72.22 Mn |
| Mar 31, 2024 | 32.37 Mn |
| Dec 31, 2023 | 29.93 Mn |
| Sep 30, 2023 | 47.96 Mn |
| Jun 30, 2023 | 84.00 Mn |
| Mar 31, 2023 | 64.26 Mn |
| Dec 31, 2022 | 45.62 Mn |
| Sep 30, 2022 | 56.09 Mn |
| Jun 30, 2022 | 100.25 Mn |
| Mar 31, 2022 | 76.59 Mn |
| Dec 31, 2021 | 51.70 Mn |
| Sep 30, 2021 | 47.73 Mn |
API Access
Marinemax EBITDA 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=ebitda&ticker=HZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();