Autonomix Medical (AMIX) Interest Expenses (2023 - 2025)
Autonomix Medical (AMIX) recorded Interest Expenses of $46,000 in fiscal Q4 2025 (quarter ended Mar 31, 2025), unchanged from $46,000 a year earlier and up 2.2% from the prior quarter.
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Analysis
Autonomix Medical (AMIX) Interest Expenses (2023 - 2025) Analysis & Trends
For FY2025 (ended Mar 31, 2025), Autonomix Medical reported Interest Expenses of $176,000, up 122.8% from FY2024.
- Across earlier fiscal years, Interest Expenses came in at $79,000 in FY2024.
- Per Business Quant, the preceding three fiscal quarters came in at $45,000 (Q3 2025), $43,000 (Q2 2025) and $41,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Autonomix Medical | 1.63 Mn | -31.40 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 46,000.00 |
| Dec 31, 2024 | 45,000.00 |
| Sep 30, 2024 | 43,000.00 |
| Jun 30, 2024 | 41,000.00 |
| Mar 31, 2024 | 46,000.00 |
| Dec 31, 2023 | 33,000.00 |
API Access
Autonomix Medical 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=AMIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "AMIX", "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=AMIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();