Marinemax (HZO) Cash & Equivalents (2010 - 2026)
Marinemax (HZO) recorded Cash & Equivalents of $174.78 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 15.7% from $151.02 million a year earlier but down 7.6% from the prior quarter.
Marinemax (HZO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Marinemax reported Cash & Equivalents of $170.35 million, down 24.1% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $224.33 million in FY2024 (+11.4%), $201.46 million in FY2023 (-11.7%), $228.27 million in FY2022 (+2.7%) and $222.19 million in FY2021 (+42.9%).
- Quarterly Cash & Equivalents has ranged from $145.01 million in fiscal Q1 2025 to $281.35 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 8.2%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 78.9% in fiscal Q1 2022, against a decline of 37.7% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $189.13 million (Q2 2026), $164.6 million (Q1 2026) and $170.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | - |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Marinemax | 1.16 Bn | 473.43 Mn | 218.08 Mn | 174.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 174.78 Mn |
| Mar 31, 2026 | 189.13 Mn |
| Dec 31, 2025 | 164.60 Mn |
| Sep 30, 2025 | 170.35 Mn |
| Jun 30, 2025 | 151.02 Mn |
| Mar 31, 2025 | 203.51 Mn |
| Dec 31, 2024 | 145.01 Mn |
| Sep 30, 2024 | 224.33 Mn |
| Jun 30, 2024 | 242.42 Mn |
| Mar 31, 2024 | 216.68 Mn |
| Dec 31, 2023 | 210.32 Mn |
| Sep 30, 2023 | 201.46 Mn |
| Jun 30, 2023 | 226.13 Mn |
| Mar 31, 2023 | 204.34 Mn |
| Dec 31, 2022 | 177.77 Mn |
| Sep 30, 2022 | 228.27 Mn |
| Jun 30, 2022 | 281.35 Mn |
| Mar 31, 2022 | 219.40 Mn |
| Dec 31, 2021 | 216.32 Mn |
| Sep 30, 2021 | 222.19 Mn |
Marinemax Cash & Equivalents 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=cash-and-equivalents&ticker=HZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();