Marinemax (HZO) Total Liabilities (2010 - 2026)
Marinemax (HZO) posted Total Liabilities of $1.39 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 9.2% from $1.54 billion a year earlier and down 6.9% from the prior quarter.
Marinemax (HZO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Marinemax's Total Liabilities came in at $1.52 billion, down 6.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 36.6% (FY2020 to FY2025).
- In prior fiscal years, Marinemax's Total Liabilities was $1.62 billion in FY2024 (+7.7%), $1.5 billion in FY2023 (+163.6%), $570.11 million in FY2022 (+38.1%) and $412.93 million in FY2021 (+29.1%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q1 2023.
- On a year-over-year basis, Total Liabilities has declined in each of the last six quarters, with an average decline of 3.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2023, with growth of 177.2%; the weakest was fiscal Q2 2026, with a decline of 10.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $1.5 billion (Q2 2026), $1.48 billion (Q1 2026) and $1.52 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Marinemax | 1.16 Bn | 457.26 Mn | 218.08 Mn | 1.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.39 Bn |
| Mar 31, 2026 | 1.50 Bn |
| Dec 31, 2025 | 1.48 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Jun 30, 2025 | 1.54 Bn |
| Mar 31, 2025 | 1.67 Bn |
| Dec 31, 2024 | 1.63 Bn |
| Sep 30, 2024 | 1.62 Bn |
| Jun 30, 2024 | 1.62 Bn |
| Mar 31, 2024 | 1.69 Bn |
| Dec 31, 2023 | 1.59 Bn |
| Sep 30, 2023 | 1.50 Bn |
| Jun 30, 2023 | 1.48 Bn |
| Mar 31, 2023 | 1.47 Bn |
| Dec 31, 2022 | 1.30 Bn |
| Sep 30, 2022 | 570.11 Mn |
| Jun 30, 2022 | 577.33 Mn |
| Mar 31, 2022 | 531.46 Mn |
| Dec 31, 2021 | 541.78 Mn |
| Sep 30, 2021 | 412.93 Mn |
Marinemax Total Liabilities 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=total-liabilities&ticker=HZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();