Vision Marine Technologies (VMAR) Property, Plant & Equipment (Net) (2019 - 2026)
Vision Marine Technologies' Property, Plant & Equipment (Net) was $2.91 million in the quarter ended May 31, 2026, down 2.5% from the prior quarter.
Vision Marine Technologies (VMAR) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
As of Aug 31, 2025, Property, Plant & Equipment (Net) at Vision Marine Technologies came in at $3.31 million, up 182.7% from the prior year.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 52.5% (years ended Aug 2020 to Aug 2025).
- In earlier years, Property, Plant & Equipment (Net) was $1.17 million in the year ended Aug 31, 2024 (-34.0%), $1.77 million in the year ended Aug 31, 2023, -$155,298 in the year ended Aug 31, 2022 and $1.14 million in the year ended Aug 31, 2021 (+184.2%).
- The figure for the quarter ended May 31, 2026 marks the lowest quarterly Property, Plant & Equipment (Net) since the quarter ended Aug 31, 2024.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was the quarter ended Feb 28, 2022 (growth of 253.2%); the worst was the quarter ended May 31, 2024 (a decline of 51.5%).
- Per Business Quant data, VMAR's Property, Plant & Equipment (Net) in the three quarters before the quarter ended May 31, 2026 was $2.98 million (quarter ended Feb 28, 2026), $3.18 million (quarter ended Nov 30, 2025) and $3.31 million (quarter ended Aug 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Vision Marine Technologies | 12.80 | 12.80 | 3.19 Mn | 2.91 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.91 Mn |
| Feb 28, 2026 | 2.98 Mn |
| Nov 30, 2025 | 3.18 Mn |
| Aug 31, 2025 | 3.31 Mn |
| Mar 31, 2025 | 18.62 Mn |
| Nov 30, 2024 | 1.11 Mn |
| Aug 31, 2024 | 1.15 Mn |
| May 31, 2024 | 1.14 Mn |
| Feb 29, 2024 | 1.71 Mn |
| Nov 30, 2023 | 1.64 Mn |
| Aug 31, 2023 | 1.74 Mn |
| May 31, 2023 | 2.35 Mn |
| Feb 28, 2023 | 2.32 Mn |
| Aug 31, 2022 | 1.72 Mn |
| May 31, 2022 | 1.52 Mn |
| Feb 28, 2022 | 1.45 Mn |
| Nov 30, 2021 | 1.18 Mn |
| Aug 31, 2021 | 1.14 Mn |
| May 31, 2021 | 503,731.00 |
| Feb 28, 2021 | 410,212.59 |
Vision Marine Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VMAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VMAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();