Marinemax (HZO) Interest Expenses (2010 - 2026)
Marinemax's Interest Expenses was $14.31 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 15.5% from $16.94 million a year earlier and down 2.4% from the prior quarter.
Marinemax (HZO) Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marinemax's Interest Expenses was $62.12 million through Jun 30, 2026, down 13.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $71.16 million, down 3.7% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 50.3% (FY2020 to FY2025).
- In earlier fiscal years, Interest Expenses was $73.9 million in FY2024 (+38.5%), $53.37 million in FY2023, $3.28 million in FY2022 (-10.4%) and $3.67 million in FY2021 (-60.5%).
- The fiscal Q3 2026 figure marks the lowest quarterly Interest Expenses since fiscal Q2 2023.
- Compared with a year earlier, Interest Expenses has declined for six straight quarters, with an average decline of 6.4% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q1 2024 (growth of 93.6%); the worst was fiscal Q1 2022 (a decline of 49.8%).
- Per Business Quant data, HZO's Interest Expenses in the three fiscal quarters before Q3 2026 was $14.66 million (Q2 2026), $15.86 million (Q1 2026) and $17.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,727.25 Bn | 2,243.95 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 318.36 Bn | 311.60 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 161.66 Bn | 139.20 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 111.75 Bn | 104.71 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.88 Bn | 57.80 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 74.23 Bn | 73.32 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Target | 69.90 Bn | 64.48 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 52.46 Bn | 51.36 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.46 Bn | 32.95 Bn | 1.38 Bn | 101.00 Mn |
| 10 | Marinemax | 1.16 Bn | 459.62 Mn | 218.08 Mn | 14.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.31 Mn |
| Mar 31, 2026 | 14.66 Mn |
| Dec 31, 2025 | 15.86 Mn |
| Sep 30, 2025 | 17.30 Mn |
| Jun 30, 2025 | 16.94 Mn |
| Mar 31, 2025 | 18.18 Mn |
| Dec 31, 2024 | 18.75 Mn |
| Sep 30, 2024 | 17.93 Mn |
| Jun 30, 2024 | 18.23 Mn |
| Mar 31, 2024 | 19.37 Mn |
| Dec 31, 2023 | 18.37 Mn |
| Sep 30, 2023 | 15.81 Mn |
| Jun 30, 2023 | 14.80 Mn |
| Mar 31, 2023 | 13.28 Mn |
| Dec 31, 2022 | 9.48 Mn |
| Sep 30, 2022 | 984,000.00 |
| Jun 30, 2022 | 1.01 Mn |
| Mar 31, 2022 | 654,000.00 |
| Dec 31, 2021 | 637,000.00 |
| Sep 30, 2021 | 666,000.00 |
Marinemax Interest 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=interest-expenses&ticker=HZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();