Marinemax (HZO) EBIT (2010 - 2026)
Marinemax's EBIT was $37.22 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$41.54 million a year earlier and up 243.4% from the prior quarter.
Marinemax (HZO) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marinemax's EBIT was $66.82 million through Jun 30, 2026, up 42.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $34.02 million, down 73.5% from FY2024.
- EBIT has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -20.4% (FY2020 to FY2025).
- In earlier fiscal years, EBIT was $128.23 million in FY2024 (-36.1%), $200.8 million in FY2023 (-24.3%), $265.2 million in FY2022 (+26.6%) and $209.46 million in FY2021 (+96.3%).
- The fiscal Q3 2026 figure marks the highest quarterly EBIT since fiscal Q1 2025.
- Compared with a year earlier, EBIT was higher in two of the last six quarters, with an average decline of 16.4%.
- The best year-over-year quarter for EBIT over five years was fiscal Q1 2025 (growth of 105.1%); the worst was fiscal Q1 2026 (a decline of 87.4%).
- Per Business Quant data, HZO's EBIT in the three fiscal quarters before Q3 2026 was $10.84 million (Q2 2026), $4.92 million (Q1 2026) and $13.84 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 1.10 Bn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 985.75 Mn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 2.56 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 923.76 Mn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 680.00 Mn |
| 10 | Marinemax | 1.16 Bn | 457.26 Mn | 218.08 Mn | 37.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.22 Mn |
| Mar 31, 2026 | 10.84 Mn |
| Dec 31, 2025 | 4.92 Mn |
| Sep 30, 2025 | 13.84 Mn |
| Jun 30, 2025 | -41.54 Mn |
| Mar 31, 2025 | 22.74 Mn |
| Dec 31, 2024 | 38.97 Mn |
| Sep 30, 2024 | 26.80 Mn |
| Jun 30, 2024 | 61.03 Mn |
| Mar 31, 2024 | 21.40 Mn |
| Dec 31, 2023 | 19.00 Mn |
| Sep 30, 2023 | 34.32 Mn |
| Jun 30, 2023 | 74.58 Mn |
| Mar 31, 2023 | 55.41 Mn |
| Dec 31, 2022 | 36.50 Mn |
| Sep 30, 2022 | 50.92 Mn |
| Jun 30, 2022 | 95.30 Mn |
| Mar 31, 2022 | 71.78 Mn |
| Dec 31, 2021 | 47.20 Mn |
| Sep 30, 2021 | 43.70 Mn |
Marinemax EBIT 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=ebit&ticker=HZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();