Marinemax (HZO) Long-Term Debt Repayments (2020 - 2026)
Marinemax's Long-Term Debt Repayments was $11 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 33.4% from $8.25 million a year earlier and up 23.5% from the prior quarter.
Marinemax (HZO) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marinemax's Long-Term Debt Repayments was $37.73 million through Jun 30, 2026, up 11.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $34.22 million, up 1.4% from FY2024.
- Long-Term Debt Repayments has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 284.0% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $33.77 million in FY2024 (+33.6%), $25.27 million in FY2023 (+770.8%), $2.9 million in FY2022 (+20.7%) and $2.4 million in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Long-Term Debt Repayments in data going back to fiscal Q1 2021.
- Compared with a year earlier, Long-Term Debt Repayments has increased for four straight quarters, with growth averaging 6.0% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q2 2023 (growth of 824.9%); the worst was fiscal Q1 2023 (a decline of 26.7%).
- Per Business Quant data, HZO's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $8.91 million (Q2 2026), $8.93 million (Q1 2026) and $8.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Marinemax | 1.16 Bn | 458.07 Mn | 218.08 Mn | 11.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.00 Mn |
| Mar 31, 2026 | 8.91 Mn |
| Dec 31, 2025 | 8.93 Mn |
| Sep 30, 2025 | 8.90 Mn |
| Jun 30, 2025 | 8.25 Mn |
| Mar 31, 2025 | 8.64 Mn |
| Dec 31, 2024 | 8.44 Mn |
| Sep 30, 2024 | 8.44 Mn |
| Jun 30, 2024 | 8.44 Mn |
| Mar 31, 2024 | 8.44 Mn |
| Dec 31, 2023 | 8.44 Mn |
| Sep 30, 2023 | 8.43 Mn |
| Jun 30, 2023 | 8.10 Mn |
| Mar 31, 2023 | 8.10 Mn |
| Dec 31, 2022 | 641,000.00 |
| Sep 30, 2022 | 679,000.00 |
| Jun 30, 2022 | 472,000.00 |
| Mar 31, 2022 | 876,000.00 |
| Dec 31, 2021 | 875,000.00 |
| Sep 30, 2021 | 865,000.00 |
Marinemax Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();