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 | 2,829.77 Bn | 2,346.47 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 312.24 Bn | 305.48 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 109.75 Bn | 102.72 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 75.33 Bn | 58.26 Bn | 2.12 Bn | 8.11 Bn |
| 6 | O Reilly Automotive | 73.38 Bn | 72.47 Bn | 2.52 Bn | 10.19 Bn |
| 7 | Target | 69.96 Bn | 64.55 Bn | 8.94 Bn | 40.31 Bn |
| 8 | Autozone | 51.69 Bn | 50.59 Bn | 2.52 Bn | 11.98 Bn |
| 9 | Carvana | 43.50 Bn | 33.99 Bn | 1.38 Bn | 6.55 Bn |
| 10 | Vision Marine Technologies | 14.46 | -15.03 Mn | 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 | 19.30 Mn |
| Nov 30, 2024 | 1.93 Mn |
| Aug 31, 2024 | 2.08 Mn |
| May 31, 2024 | 5.98 Mn |
| Feb 29, 2024 | 8.13 Mn |
| Aug 31, 2023 | 11.50 Mn |
| Feb 28, 2023 | 15.37 Mn |
| Aug 31, 2022 | 13.37 Mn |
| May 31, 2022 | 13.55 Mn |
| Feb 28, 2022 | 13.20 Mn |
| Nov 30, 2021 | 13.81 Mn |
| Aug 31, 2021 | 13.86 Mn |
| May 31, 2021 | 5.25 Mn |
| Feb 28, 2021 | 1.71 Mn |
| Aug 31, 2020 | 910,554.00 |
| Aug 31, 2019 | 382,112.05 |
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();