Marinemax (HZO) Operating Leases (2019 - 2026)
Marinemax (HZO) recorded Operating Leases of $127.3 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.4% from $127.86 million a year earlier and down 2.1% from the prior quarter.
Marinemax (HZO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Marinemax reported Operating Leases of $127.97 million, up 2.8% from FY2024.
- Annual Operating Leases has increased for three straight fiscal years, with a five-year compound annual growth rate of 30.8% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Leases came in at $124.53 million in FY2024 (+0.6%), $123.79 million in FY2023 (+38.1%), $89.66 million in FY2022 (-7.5%) and $96.96 million in FY2021 (+189.7%).
- The fiscal Q3 2026 figure is the lowest quarterly Operating Leases since fiscal Q4 2024.
- On a year-over-year basis, Operating Leases rose in six of the last eight quarters, with growth averaging 1.2%.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 189.7% in fiscal Q4 2021, against a decline of 7.5% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $129.98 million (Q2 2026), $127.82 million (Q1 2026) and $127.97 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | Marinemax | 1.16 Bn | 456.31 Mn | 218.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.30 Mn |
| Mar 31, 2026 | 129.98 Mn |
| Dec 31, 2025 | 127.82 Mn |
| Sep 30, 2025 | 127.97 Mn |
| Jun 30, 2025 | 127.86 Mn |
| Mar 31, 2025 | 128.87 Mn |
| Dec 31, 2024 | 130.49 Mn |
| Sep 30, 2024 | 124.53 Mn |
| Jun 30, 2024 | 125.34 Mn |
| Mar 31, 2024 | 126.22 Mn |
| Dec 31, 2023 | 125.55 Mn |
| Sep 30, 2023 | 123.79 Mn |
| Jun 30, 2023 | 119.76 Mn |
| Mar 31, 2023 | 121.81 Mn |
| Dec 31, 2022 | 121.05 Mn |
| Sep 30, 2022 | 89.66 Mn |
| Jun 30, 2022 | 92.77 Mn |
| Mar 31, 2022 | 93.89 Mn |
| Dec 31, 2021 | 94.91 Mn |
| Sep 30, 2021 | 96.96 Mn |
Marinemax Operating Leases 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=operating-leases&ticker=HZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();