Marinemax (HZO) Enterprise Value (2010 - 2026)
Marinemax's Enterprise Value was $645.46 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 61.7% from $399.17 million a year earlier and up 54.4% from the prior quarter.
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Analysis
Marinemax (HZO) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marinemax's Enterprise Value was $121.37 million through Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it was $395.15 million, down 32.0% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In earlier fiscal years, Enterprise Value was $581.27 million in FY2024 (+10.4%), $526.69 million in FY2023 (+26.2%), $417.36 million in FY2022 (-50.1%) and $836.6 million in FY2021 (+106.2%).
- The fiscal Q3 2026 figure marks the highest quarterly Enterprise Value since fiscal Q1 2024.
- Compared with a year earlier, Enterprise Value was higher in three of the last eight quarters, with an average decline of 3.3%.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q4 2021 (growth of 106.2%); the worst was fiscal Q1 2023 (a decline of 53.1%).
- Per Business Quant data, HZO's Enterprise Value in the three fiscal quarters before Q3 2026 was $418.14 million (Q2 2026), $380.61 million (Q1 2026) and $395.15 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,845.76 Bn | 2,362.46 Bn | 104.83 Bn |
| 2 | Home Depot | 312.36 Bn | 305.61 Bn | 16.12 Bn |
| 3 | Tjx Companies | 161.65 Bn | 139.20 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.21 Bn | 58.13 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn |
| 7 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn |
| 8 | Autozone | 51.94 Bn | 50.84 Bn | 2.52 Bn |
| 9 | Carvana | 43.48 Bn | 33.97 Bn | 1.38 Bn |
| 10 | Marinemax | 1.16 Bn | 458.18 Mn | 218.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 645.46 Mn |
| Mar 31, 2026 | 418.14 Mn |
| Dec 31, 2025 | 380.61 Mn |
| Sep 30, 2025 | 395.15 Mn |
| Jun 30, 2025 | 399.17 Mn |
| Mar 31, 2025 | 283.09 Mn |
| Dec 31, 2024 | 522.07 Mn |
| Sep 30, 2024 | 581.27 Mn |
| Jun 30, 2024 | 487.46 Mn |
| Mar 31, 2024 | 534.15 Mn |
| Dec 31, 2023 | 666.54 Mn |
| Sep 30, 2023 | 526.69 Mn |
| Jun 30, 2023 | 524.66 Mn |
| Mar 31, 2023 | 426.58 Mn |
| Dec 31, 2022 | 507.14 Mn |
| Sep 30, 2022 | 417.36 Mn |
| Jun 30, 2022 | 496.37 Mn |
| Mar 31, 2022 | 650.88 Mn |
| Dec 31, 2021 | 1.08 Bn |
| Sep 30, 2021 | 836.60 Mn |
API Access
Marinemax Enterprise Value 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=enterprise-value&ticker=HZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();