Neuroone Medical Technologies (NMTC) Total Non-Current Liabilities (2016 - 2026)
Neuroone Medical Technologies (NMTC) reported Total Non-Current Liabilities of $2.11 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 32.1% from $1.6 million a year earlier and up 18.7% from the prior quarter.
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Analysis
Neuroone Medical Technologies (NMTC) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Neuroone Medical Technologies posted Total Non-Current Liabilities of $2.45 million, up 1.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $2.41 million in FY2024.
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.37 million in fiscal Q1 2026 and a high of $2.45 million in fiscal Q4 2025.
- Year over year, Total Non-Current Liabilities gained in two of the last four quarters, with an average year-over-year change of 0.0%.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.78 million (Q2 2026), $1.37 million (Q1 2026) and $2.45 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | Neuroone Medical Technologies | 11.31 Mn | -3.71 Mn | 1.18 Mn | 2.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.11 Mn |
| Mar 31, 2026 | 1.78 Mn |
| Dec 31, 2025 | 1.37 Mn |
| Sep 30, 2025 | 2.45 Mn |
| Jun 30, 2025 | 1.60 Mn |
| Mar 31, 2025 | 1.97 Mn |
| Dec 31, 2024 | 1.81 Mn |
| Sep 30, 2024 | 2.41 Mn |
| Mar 31, 2021 | 973,725.00 |
| Dec 31, 2020 | 6.42 Mn |
| Sep 30, 2020 | 2.61 Mn |
| Jun 30, 2020 | 8.31 Mn |
| Jun 30, 2019 | 1.69 Mn |
| Dec 31, 2018 | 5.29 Mn |
| Sep 30, 2018 | 4.40 Mn |
| Dec 31, 2017 | 3.91 Mn |
| Sep 30, 2017 | 3.02 Mn |
| Mar 31, 2017 | -423,564.00 |
| Dec 31, 2016 | 677,190.00 |
API Access
Neuroone Medical Technologies Total Non-Current 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-non-current-liabilities&ticker=NMTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=NMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();