Vision Marine Technologies (VMAR) Interest Expenses (2020 - 2025)
Vision Marine Technologies' Interest Expenses was -$932,464 in the quarter ended Mar 31, 2025.
Vision Marine Technologies (VMAR) Interest Expenses (2020 - 2025) Analysis & Trends
On a trailing twelve-month basis, Vision Marine Technologies' Interest Expenses was $872,867 through Mar 31, 2025; for the year ended Dec 31, 2024, it came in at -$4.48 million.
- In earlier years, Interest Expenses was -$2.57 million in the year ended Dec 31, 2023, $173,676 in the year ended Aug 31, 2022 (-90.4%), $1.82 million in the year ended Aug 31, 2021 and $80,668 in the year ended Aug 31, 2020 (+467.6%).
- The figure for the quarter ended Mar 31, 2025 marks the highest quarterly Interest Expenses since the quarter ended Aug 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 101.00 Mn |
| 10 | Vision Marine Technologies | 14.44 | -15.03 Mn | 3.19 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -932,463.79 |
| Aug 31, 2021 | 1.80 Mn |
| May 31, 2021 | 5,295.49 |
| Aug 31, 2020 | 59,162.48 |
| May 31, 2020 | 13,075.56 |
Vision Marine Technologies Interest Expenses 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=interest-expenses&ticker=VMAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=VMAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();