Vision Marine Technologies (VMAR) Total Liabilities (2019 - 2026)
Vision Marine Technologies' Total Liabilities came in at $39.22 million for the quarter ended May 31, 2026, down 20.2% from the prior quarter.
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Analysis
Vision Marine Technologies (VMAR) Total Liabilities (2019 - 2026) Analysis & Trends
As of Aug 31, 2025, Vision Marine Technologies' Total Liabilities was $61.46 million.
- Total Liabilities carries a five-year compound annual growth rate of 96.2% (years ended Aug 2020 to Aug 2025).
- Going back by year, Total Liabilities was $66.6 million in the year ended Dec 31, 2024 (+11.4%), $59.8 million in the year ended Dec 31, 2023, $3.94 million in the year ended Aug 31, 2022 (-52.0%) and $8.21 million in the year ended Aug 31, 2021 (+288.3%).
- The figure for the quarter ended May 31, 2026 represents the lowest quarterly Total Liabilities since the quarter ended Aug 31, 2024.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Aug 31, 2025 (growth of 901.8%), and the weakest in the quarter ended Aug 31, 2024 (a decline of 34.5%).
- Business Quant data shows VMAR's Total Liabilities at $49.14 million (quarter ended Feb 28, 2026), $55.41 million (quarter ended Nov 30, 2025) and $61.46 million (quarter ended Aug 31, 2025) in the three quarters before the quarter ended May 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Vision Marine Technologies | 14.44 | -15.03 Mn | 3.19 Mn | 39.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 39.22 Mn |
| Feb 28, 2026 | 49.14 Mn |
| Nov 30, 2025 | 55.41 Mn |
| Aug 31, 2025 | 61.46 Mn |
| Mar 31, 2025 | 80.45 Mn |
| Nov 30, 2024 | 2.95 Mn |
| Aug 31, 2024 | 6.23 Mn |
| May 31, 2024 | 9.81 Mn |
| Feb 29, 2024 | 11.00 Mn |
| Nov 30, 2023 | 6.45 Mn |
| Aug 31, 2023 | 9.22 Mn |
| Feb 28, 2023 | 13.94 Mn |
| Aug 31, 2022 | 3.87 Mn |
| May 31, 2022 | 4.49 Mn |
| Feb 28, 2022 | 4.13 Mn |
| Nov 30, 2021 | 4.06 Mn |
| Aug 31, 2021 | 4.18 Mn |
| May 31, 2021 | 2.14 Mn |
| Feb 28, 2021 | 1.60 Mn |
| Aug 31, 2020 | 2.17 Mn |
API Access
Vision Marine Technologies 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=VMAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VMAR", "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=VMAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();