Non Invasive Monitoring Systems (NIMU) Interest Expenses (2016 - 2025)
Non Invasive Monitoring Systems (NIMU) reported Interest Expenses of $17,000 for fiscal Q1 2026 (quarter ended Oct 31, 2025), up 21.4% from $14,000 a year earlier and up 6.3% from the prior quarter.
Non Invasive Monitoring Systems (NIMU) Interest Expenses (2016 - 2025) Analysis & Trends
Over the twelve months ended Oct 31, 2025, Non Invasive Monitoring Systems' Interest Expenses came in at $65,000, up 16.1% year-over-year; for FY2025 (ended Jul 31, 2025), it was $62,000, up 14.8% from FY2024.
- Interest Expenses has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 64.2% (FY2022 to FY2025).
- By fiscal year, Interest Expenses came in at $54,000 in FY2024 (+80.0%), $30,000 in FY2023 (+114.3%) and $14,000 in FY2022.
- The fiscal Q1 2026 figure ranks as the highest quarterly Interest Expenses since fiscal Q2 2019.
- Year over year, Interest Expenses has now increased in each of the last 13 quarters, with growth averaging 37.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Interest Expenses ran from 7.7% in fiscal Q1 2025 to 500.0% in fiscal Q1 2023.
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at $16,000 (Q4 2025), $16,000 (Q3 2025) and $16,000 (Q2 2025).
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 | Non Invasive Monitoring Systems | 1.78 Mn | 1.73 Mn | - | 17,000.00 |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 17,000.00 |
| Jul 31, 2025 | 16,000.00 |
| Apr 30, 2025 | 16,000.00 |
| Jan 31, 2025 | 16,000.00 |
| Oct 31, 2024 | 14,000.00 |
| Jul 31, 2024 | 14,000.00 |
| Apr 30, 2024 | 14,000.00 |
| Jan 31, 2024 | 14,000.00 |
| Oct 31, 2023 | 13,000.00 |
| Jul 31, 2023 | 8,000.00 |
| Apr 30, 2023 | 8,000.00 |
| Jan 31, 2023 | 8,000.00 |
| Oct 31, 2022 | 6,000.00 |
| Jul 31, 2022 | 4,000.00 |
| Apr 30, 2022 | 4,000.00 |
| Jan 31, 2022 | 5,000.00 |
| Oct 31, 2021 | 1,000.00 |
| Jan 31, 2019 | 34,000.00 |
| Oct 31, 2018 | 59,000.00 |
| Jul 31, 2018 | 59,000.00 |
Non Invasive Monitoring Systems 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=NIMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "NIMU", "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=NIMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();