Non Invasive Monitoring Systems (NIMU) Operating Expenses (2010 - 2025)
Non Invasive Monitoring Systems' Operating Expenses was $25,000 in fiscal Q1 2026 (quarter ended Oct 31, 2025), down 60.3% from $63,000 a year earlier and down 44.4% from the prior quarter.
Non Invasive Monitoring Systems (NIMU) Operating Expenses (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Non Invasive Monitoring Systems' Operating Expenses was $122,000 through Oct 31, 2025, up 165.2% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $160,000, up 171.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $59,000 in FY2024 (-65.1%), $169,000 in FY2023 (+6.3%), $159,000 in FY2022 (+0.6%) and $158,000 in FY2021 (-4.2%).
- The fiscal Q1 2026 figure marks the lowest quarterly Operating Expenses since fiscal Q4 2024.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2021 (growth of 19.2%); the worst was fiscal Q1 2026 (a decline of 60.3%).
- Per Business Quant data, NIMU's Operating Expenses in the three fiscal quarters before Q1 2026 was $45,000 (Q4 2025), $26,000 (Q3 2025) and $26,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Non Invasive Monitoring Systems | 1.78 Mn | 1.73 Mn | - | 25,000.00 |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 25,000.00 |
| Jul 31, 2025 | 45,000.00 |
| Apr 30, 2025 | 26,000.00 |
| Jan 31, 2025 | 26,000.00 |
| Oct 31, 2024 | 63,000.00 |
| Jul 31, 2024 | -87,000.00 |
| Apr 30, 2024 | 30,000.00 |
| Jan 31, 2024 | 40,000.00 |
| Oct 31, 2023 | 75,000.00 |
| Jul 31, 2023 | 33,000.00 |
| Apr 30, 2023 | 31,000.00 |
| Jan 31, 2023 | 40,000.00 |
| Oct 31, 2022 | 65,000.00 |
| Jul 31, 2022 | 35,000.00 |
| Apr 30, 2022 | 31,000.00 |
| Jan 31, 2022 | 36,000.00 |
| Oct 31, 2021 | 57,000.00 |
| Jul 31, 2021 | 31,000.00 |
| Apr 30, 2021 | 29,000.00 |
| Jan 31, 2021 | 39,000.00 |
Non Invasive Monitoring Systems Operating 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=operating-expenses&ticker=NIMU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NIMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();