Vision Marine Technologies (VMAR) Receivables (2019 - 2026)
Vision Marine Technologies (VMAR) reported Receivables of $533,595 for the quarter ended May 31, 2026, down 14.9% from the prior quarter.
Vision Marine Technologies (VMAR) Receivables (2019 - 2026) Analysis & Trends
As of Aug 31, 2025, Vision Marine Technologies posted Receivables of $483,184, up 374.0% from the prior year.
- Receivables has a five-year compound annual growth rate of 49.9% (years ended Aug 2020 to Aug 2025).
- By year, Receivables came in at $101,942 in the year ended Aug 31, 2024 (-75.1%), $409,233 in the year ended Aug 31, 2023 (+11.5%), $366,942 in the year ended Aug 31, 2022 (+42.7%) and $257,220 in the year ended Aug 31, 2021 (+302.8%).
- Five-year quarterly Receivables spans a low of $101,264 in the quarter ended Aug 31, 2024 and a high of $1.03 million in the quarter ended Mar 31, 2025.
- The high point for year-over-year Receivables in five years was the quarter ended Feb 28, 2023 (growth of 324.3%); the low point was the quarter ended Aug 31, 2024 (a decline of 75.5%).
- Per Business Quant data, the three quarters before the quarter ended May 31, 2026 came in at $627,264 (quarter ended Feb 28, 2026), $451,775 (quarter ended Nov 30, 2025) and $313,978 (quarter ended Aug 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,813.08 Bn | 2,329.78 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 312.86 Bn | 306.10 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 161.58 Bn | 139.13 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 109.71 Bn | 102.67 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 74.52 Bn | 57.44 Bn | 2.12 Bn | 248.14 Mn |
| 6 | O Reilly Automotive | 73.78 Bn | 72.87 Bn | 2.52 Bn | 628.51 Mn |
| 7 | Target | 69.85 Bn | 64.44 Bn | 8.94 Bn | - |
| 8 | Autozone | 51.86 Bn | 50.76 Bn | 2.52 Bn | 764.92 Mn |
| 9 | Carvana | 44.08 Bn | 34.57 Bn | 1.38 Bn | 377.00 Mn |
| 10 | Vision Marine Technologies | 13.60 | -15.03 Mn | 3.19 Mn | 533,595.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 533,595.00 |
| Feb 28, 2026 | 7.12 Mn |
| Nov 30, 2025 | 451,775.00 |
| Aug 31, 2025 | 10.87 Mn |
| Mar 31, 2025 | 980,677.36 |
| Nov 30, 2024 | 98,834.17 |
| Aug 31, 2024 | 102,791.15 |
| May 31, 2024 | 236,230.29 |
| Feb 29, 2024 | 277,446.51 |
| Nov 30, 2023 | 368,409.59 |
| Aug 31, 2023 | 406,962.52 |
| Feb 28, 2023 | 710,390.00 |
| Aug 31, 2022 | 361,013.04 |
| May 31, 2022 | 414,935.37 |
| Feb 28, 2022 | 166,922.52 |
| Nov 30, 2021 | 393,598.68 |
| Aug 31, 2021 | 253,582.78 |
| May 31, 2021 | 132,928.19 |
| Feb 28, 2021 | 35,872.61 |
| Aug 31, 2020 | 65,598.65 |
Vision Marine Technologies Receivables 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=receivables&ticker=VMAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VMAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();