Non Invasive Monitoring Systems (NIMU) Total Liabilities (2011 - 2025)
Non Invasive Monitoring Systems' Total Liabilities was $995,000 in fiscal Q1 2026 (quarter ended Oct 31, 2025), up 18.5% from $840,000 a year earlier and up 4.3% from the prior quarter.
Non Invasive Monitoring Systems (NIMU) Total Liabilities (2011 - 2025) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Total Liabilities at Non Invasive Monitoring Systems came in at $954,000, up 25.7% from FY2024.
- Total Liabilities has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $759,000 in FY2024 (+19.5%), $635,000 in FY2023 (+46.3%), $434,000 in FY2022 (+45.2%) and $299,000 in FY2021 (+3.8%).
- The fiscal Q1 2026 figure marks the highest quarterly Total Liabilities since fiscal Q1 2019.
- Compared with a year earlier, Total Liabilities has increased for four straight quarters, with growth averaging 18.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2022 (growth of 57.2%); the worst was fiscal Q1 2025 (a decline of 4.9%).
- Per Business Quant data, NIMU's Total Liabilities in the three fiscal quarters before Q1 2026 was $954,000 (Q4 2025), $911,000 (Q3 2025) and $887,000 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Non Invasive Monitoring Systems | 1.78 Mn | 1.73 Mn | - | 995,000.00 |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 995,000.00 |
| Jul 31, 2025 | 954,000.00 |
| Apr 30, 2025 | 911,000.00 |
| Jan 31, 2025 | 887,000.00 |
| Oct 31, 2024 | 840,000.00 |
| Jul 31, 2024 | 759,000.00 |
| Apr 30, 2024 | 878,000.00 |
| Jan 31, 2024 | 855,000.00 |
| Oct 31, 2023 | 883,000.00 |
| Jul 31, 2023 | 635,000.00 |
| Apr 30, 2023 | 617,000.00 |
| Jan 31, 2023 | 609,000.00 |
| Oct 31, 2022 | 612,000.00 |
| Jul 31, 2022 | 434,000.00 |
| Apr 30, 2022 | 448,000.00 |
| Jan 31, 2022 | 442,000.00 |
| Oct 31, 2021 | 433,000.00 |
| Jul 31, 2021 | 299,000.00 |
| Apr 30, 2021 | 285,000.00 |
| Jan 31, 2021 | 295,000.00 |
Non Invasive Monitoring Systems Total Liabilities 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=total-liabilities&ticker=NIMU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NIMU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();