Vision Marine Technologies (VMAR) Inventory (2019 - 2026)
Vision Marine Technologies (VMAR) recorded Inventory of $20.73 million in the quarter ended May 31, 2026, down 31.4% from the prior quarter.
Vision Marine Technologies (VMAR) Inventory (2019 - 2026) Analysis & Trends
As of Aug 31, 2025, Vision Marine Technologies reported Inventory of $36.87 million, up 701.1% from the prior year.
- Annual Inventory has increased for five straight years, with a five-year compound annual growth rate of 151.6% (years ended Aug 2020 to Aug 2025).
- Across earlier years, Inventory came in at $4.6 million in the year ended Aug 31, 2024 (+154.7%), $1.81 million in the year ended Aug 31, 2023 (+11.1%), $1.63 million in the year ended Aug 31, 2022 (+2.3%) and $1.59 million in the year ended Aug 31, 2021 (+334.6%).
- The figure for the quarter ended May 31, 2026 is the lowest quarterly Inventory since the quarter ended Aug 31, 2024.
- Over the past five years, the year-over-year growth in Inventory ranged from 2.3% (the quarter ended Aug 31, 2022) to 713.1% (the quarter ended Aug 31, 2025).
- Per Business Quant, the preceding three quarters came in at $30.24 million (quarter ended Feb 28, 2026), $31.37 million (quarter ended Nov 30, 2025) and $36.87 million (quarter ended Aug 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Vision Marine Technologies | 14.80 | 14.80 | 3.19 Mn | 20.73 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 20.73 Mn |
| Feb 28, 2026 | 30.24 Mn |
| Nov 30, 2025 | 31.37 Mn |
| Aug 31, 2025 | 36.87 Mn |
| Mar 31, 2025 | 66.85 Mn |
| Nov 30, 2024 | 4.59 Mn |
| Aug 31, 2024 | 4.53 Mn |
| May 31, 2024 | 4.03 Mn |
| Feb 29, 2024 | 3.56 Mn |
| Nov 30, 2023 | 2.33 Mn |
| Aug 31, 2023 | 1.83 Mn |
| May 31, 2023 | 2.72 Mn |
| Feb 28, 2023 | 2.52 Mn |
| Aug 31, 2022 | 1.63 Mn |
| May 31, 2022 | 2.55 Mn |
| Feb 28, 2022 | 2.37 Mn |
| Nov 30, 2021 | 2.21 Mn |
| Aug 31, 2021 | 1.59 Mn |
| May 31, 2021 | 1.12 Mn |
| Feb 28, 2021 | 959,796.46 |
Vision Marine Technologies Inventory 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=inventory&ticker=VMAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=VMAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();