Vision Marine Technologies (VMAR) Interest Expenses (2020 - 2025)
Vision Marine Technologies' Interest Expenses was -$932,464 in the quarter ended Mar 31, 2025.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Vision Marine Technologies | 14.64 | 14.64 | 3.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -932,463.79 |
| Aug 31, 2021 | 1.80 Mn |
| May 31, 2021 | 5,295.49 |
| Feb 28, 2021 | 3,590.00 |
| Aug 31, 2020 | 59,162.48 |
| May 31, 2020 | 13,075.56 |
| Feb 29, 2020 | 2,290.00 |
API Access
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_KEYimport 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();