Vision Marine Technologies (VMAR) Non-Current Assets (2019 - 2026)
Vision Marine Technologies (VMAR) recorded Non-Current Assets of $12.34 million in the quarter ended May 31, 2026, down 6.0% from the prior quarter.
Vision Marine Technologies (VMAR) Non-Current Assets (2019 - 2026) Analysis & Trends
As of Aug 31, 2025, Vision Marine Technologies reported Non-Current Assets of $10.94 million, up 430.2% from the prior year.
- Annual Non-Current Assets has a five-year compound annual growth rate of 65.3% (years ended Aug 2020 to Aug 2025).
- Across earlier years, Non-Current Assets came in at $2.06 million in the year ended Aug 31, 2024 (-82.1%), $11.56 million in the year ended Aug 31, 2023 (-14.9%), $13.59 million in the year ended Aug 31, 2022 (-24.6%) and $18.02 million in the year ended Aug 31, 2021.
- Quarterly Non-Current Assets has ranged from $2.05 million in the quarter ended Aug 31, 2024 to $20.2 million in the quarter ended Mar 31, 2025 over the past five years.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 684.0% in the quarter ended Feb 28, 2022, against a decline of 82.4% in the quarter ended Aug 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.14 million (quarter ended Feb 28, 2026), $13.72 million (quarter ended Nov 30, 2025) and $10.94 million (quarter ended Aug 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 11.98 Bn |
| 10 | Vision Marine Technologies | 14.80 | 14.80 | 3.19 Mn | 12.34 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 12.34 Mn |
| Feb 28, 2026 | 13.14 Mn |
| Nov 30, 2025 | 13.72 Mn |
| Aug 31, 2025 | 10.94 Mn |
| Mar 31, 2025 | 20.20 Mn |
| Nov 30, 2024 | 1.97 Mn |
| Aug 31, 2024 | 2.05 Mn |
| May 31, 2024 | 6.00 Mn |
| Feb 29, 2024 | 8.21 Mn |
| Aug 31, 2023 | 11.67 Mn |
| May 31, 2023 | 15.82 Mn |
| Feb 28, 2023 | 15.37 Mn |
| Aug 31, 2022 | 13.59 Mn |
| May 31, 2022 | 13.50 Mn |
| Feb 28, 2022 | 13.24 Mn |
| Nov 30, 2021 | 14.01 Mn |
| Aug 31, 2021 | 14.06 Mn |
| May 31, 2021 | 5.11 Mn |
| Feb 28, 2021 | 1.69 Mn |
| Aug 31, 2020 | 886,333.59 |
Vision Marine Technologies Non-Current Assets 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=non-current-assets&ticker=VMAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=VMAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();