Non Invasive Monitoring Systems (NIMU) Change in Accured Expenses (2010 - 2025)
Non Invasive Monitoring Systems (NIMU) recorded Change in Accured Expenses of $17,000 in fiscal Q1 2026 (quarter ended Oct 31, 2025), up 13.3% from $15,000 a year earlier and unchanged from the prior quarter.
Non Invasive Monitoring Systems (NIMU) Change in Accured Expenses (2010 - 2025) Analysis & Trends
On a TTM basis, Non Invasive Monitoring Systems' Change in Accured Expenses came in at $65,000 as of Oct 31, 2025, up 91.2% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $63,000, up 16.7% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 37.1% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at $54,000 in FY2024 (+80.0%), $30,000 in FY2023, -$29,000 in FY2022 and $11,000 in FY2021 (-15.4%).
- Quarterly Change in Accured Expenses has ranged from -$23,000 in fiscal Q2 2021 to $35,000 in fiscal Q1 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses has increased for three consecutive quarters, with growth averaging 14.0% over the last six quarters.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 450.0% in fiscal Q3 2023, against a decline of 57.1% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $17,000 (Q4 2025), $15,000 (Q3 2025) and $16,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 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 | 17,000.00 |
| Apr 30, 2025 | 15,000.00 |
| Jan 31, 2025 | 16,000.00 |
| Oct 31, 2024 | 15,000.00 |
| Jul 31, 2024 | 13,000.00 |
| Apr 30, 2024 | 14,000.00 |
| Jan 31, 2024 | -8,000.00 |
| Oct 31, 2023 | 35,000.00 |
| Jul 31, 2023 | 8,000.00 |
| Apr 30, 2023 | 11,000.00 |
| Jan 31, 2023 | -11,000.00 |
| Oct 31, 2022 | 22,000.00 |
| Jul 31, 2022 | -18,000.00 |
| Apr 30, 2022 | 2,000.00 |
| Jan 31, 2022 | 4,000.00 |
| Oct 31, 2021 | -17,000.00 |
| Jul 31, 2021 | 14,000.00 |
| Apr 30, 2021 | -10,000.00 |
| Jan 31, 2021 | -23,000.00 |
Non Invasive Monitoring Systems Change in Accured 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=change-in-accured-expenses&ticker=NIMU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NIMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();