Neuroone Medical Technologies (NMTC) Total Liabilities (2010 - 2026)
Neuroone Medical Technologies' Total Liabilities came in at $2.42 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 8.5% from $2.64 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Neuroone Medical Technologies (NMTC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Neuroone Medical Technologies' Total Liabilities was $3.71 million, down 18.4% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $4.55 million in FY2024 (+146.1%), $1.85 million in FY2023 (-42.6%), $3.22 million in FY2022 (+132.4%) and $1.38 million in FY2021 (-48.6%).
- The five-year range for quarterly Total Liabilities is $952,478 (fiscal Q3 2022) to $4.55 million (fiscal Q4 2024).
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with growth averaging 45.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2025 (growth of 153.5%), and the weakest in fiscal Q1 2022 (a decline of 81.0%).
- Business Quant data shows NMTC's Total Liabilities at $2.49 million (Q2 2026), $2.18 million (Q1 2026) and $3.71 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Neuroone Medical Technologies | 8.53 Mn | -6.49 Mn | 1.18 Mn | 2.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Mn |
| Mar 31, 2026 | 2.49 Mn |
| Dec 31, 2025 | 2.18 Mn |
| Sep 30, 2025 | 3.71 Mn |
| Jun 30, 2025 | 2.64 Mn |
| Mar 31, 2025 | 3.33 Mn |
| Dec 31, 2024 | 3.56 Mn |
| Sep 30, 2024 | 4.55 Mn |
| Jun 30, 2024 | 1.90 Mn |
| Mar 31, 2024 | 1.54 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 1.85 Mn |
| Jun 30, 2023 | 1.84 Mn |
| Mar 31, 2023 | 1.67 Mn |
| Dec 31, 2022 | 1.49 Mn |
| Sep 30, 2022 | 3.22 Mn |
| Jun 30, 2022 | 952,478.00 |
| Mar 31, 2022 | 966,274.00 |
| Dec 31, 2021 | 1.24 Mn |
| Sep 30, 2021 | 1.38 Mn |
API Access
Neuroone Medical Technologies 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=NMTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NMTC", "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=NMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();