Vision Marine Technologies (VMAR) Research & Development (2020 - 2026)
Vision Marine Technologies (VMAR) reported Research & Development of $49,739 for the quarter ended May 31, 2026, down 90.6% from $528,777 a year earlier and down 65.1% from the prior quarter.
Vision Marine Technologies (VMAR) Research & Development (2020 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Vision Marine Technologies' Research & Development came in at $628,468, down 65.2% year-over-year; for the year ended Aug 31, 2025, it came in at $1.18 million, down 41.2% from the prior year.
- Research & Development has a four-year compound annual growth rate of -0.3% (years ended Aug 2021 to Aug 2025).
- By year, Research & Development came in at $2.01 million in the year ended Aug 31, 2024 (-52.5%), $4.24 million in the year ended Aug 31, 2023 (+143.3%), $1.74 million in the year ended Aug 31, 2022 (+45.3%) and $1.2 million in the year ended Aug 31, 2021.
- Five-year quarterly Research & Development spans a low of -$92,363 in the quarter ended Aug 31, 2025 and a high of $2.74 million in the quarter ended Nov 30, 2022.
- Year over year, Research & Development gained in three of the last five quarters, with an average decline of 0.4%.
- The high point for year-over-year Research & Development in five years was the quarter ended Feb 28, 2025 (growth of 127.2%); the low point was the quarter ended May 31, 2026 (a decline of 90.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | - |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | - |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | - |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | - |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Vision Marine Technologies | 14.80 | 14.80 | 3.19 Mn | 49,739.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 49,739.00 |
| Feb 28, 2026 | 142,315.00 |
| Aug 31, 2025 | -92,363.00 |
| May 31, 2025 | 528,777.00 |
| Feb 28, 2025 | 565,648.00 |
| Nov 30, 2024 | 132,358.24 |
| Aug 31, 2024 | 577,836.20 |
| May 31, 2024 | 461,355.27 |
| Feb 29, 2024 | 249,007.08 |
| Nov 30, 2023 | 721,284.58 |
| Aug 31, 2023 | 474,343.27 |
| May 31, 2023 | 794,528.00 |
| Feb 28, 2023 | 469,866.33 |
| Nov 30, 2022 | 2.74 Mn |
| May 31, 2022 | 32,670.00 |
| Aug 31, 2021 | 894,023.78 |
| May 31, 2021 | 251,135.77 |
| May 31, 2020 | 9,520.81 |
Vision Marine Technologies Research & Development 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=research-and-development&ticker=VMAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=VMAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();