Vision Marine Technologies (VMAR) Asset Utilization Ratio (2021 - 2026)
Vision Marine Technologies' (VMAR) Asset Utilization Ratio came in at 0.90 for the quarter ended May 31, 2026, up 21.4% from the prior quarter.
Analysis
Vision Marine Technologies (VMAR) Asset Utilization Ratio (2021 - 2026) Analysis & Trends
For the year ended Aug 31, 2025, Vision Marine Technologies' Asset Utilization Ratio stood at 0.19.
- In prior years, Vision Marine Technologies' Asset Utilization Ratio was 1.74 in the year ended Dec 31, 2024 (unchanged), 1.74 in the year ended Dec 31, 2023, 0.20 in the year ended Aug 31, 2022 (+32.4%) and 0.15 in the year ended Aug 31, 2021 (-82.8%).
- The figure for the quarter ended May 31, 2026 stands as the highest quarterly Asset Utilization Ratio in data going back to the quarter ended Feb 28, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 0.73 |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 1.56 |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.70 |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 1.63 |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.55 |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 1.81 |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.08 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 1.77 |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 0.97 |
| 10 | Vision Marine Technologies | 14.80 | 14.80 | 3.19 Mn | 0.90 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 0.90 |
| Feb 28, 2026 | 0.74 |
| Nov 30, 2024 | 0.24 |
| May 31, 2024 | 0.21 |
| May 31, 2023 | 0.20 |
| May 31, 2022 | 0.18 |
| Aug 31, 2021 | 0.12 |
| May 31, 2021 | 0.08 |
| Feb 28, 2021 | 0.13 |
API Access
Vision Marine Technologies Asset Utilization Ratio 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=asset-utilization-ratio&ticker=VMAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=VMAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();