Neuroone Medical Technologies (NMTC) Operating Leases (2019 - 2026)
Neuroone Medical Technologies (NMTC) posted Operating Leases of $73,320 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 58.2% from $175,344 a year earlier and down 20.6% from the prior quarter.
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Analysis
Neuroone Medical Technologies (NMTC) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Neuroone Medical Technologies' Operating Leases came in at $143,148, down 26.4% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -10.9% (FY2020 to FY2025).
- In prior fiscal years, Neuroone Medical Technologies' Operating Leases was $194,392 in FY2024 (+251.6%), $55,284 in FY2023 (-53.8%), $119,556 in FY2022 (-41.1%) and $202,895 in FY2021 (-20.2%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Leases since fiscal Q1 2024.
- On a year-over-year basis, Operating Leases has declined in each of the last five quarters, with growth averaging 7.0% over the last six quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q4 2024, with growth of 251.6%; the weakest was fiscal Q1 2024, with a decline of 86.4%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $92,361 (Q2 2026), $110,374 (Q1 2026) and $143,148 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Neuroone Medical Technologies | 8.53 Mn | -6.49 Mn | 1.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73,320.00 |
| Mar 31, 2026 | 92,361.00 |
| Dec 31, 2025 | 110,374.00 |
| Sep 30, 2025 | 143,148.00 |
| Jun 30, 2025 | 175,344.00 |
| Mar 31, 2025 | 206,973.00 |
| Dec 31, 2024 | 237,377.00 |
| Sep 30, 2024 | 194,392.00 |
| Jun 30, 2024 | 209,910.00 |
| Dec 31, 2023 | 20,982.00 |
| Sep 30, 2023 | 55,284.00 |
| Jun 30, 2023 | 88,918.00 |
| Mar 31, 2023 | 121,896.00 |
| Dec 31, 2022 | 153,721.00 |
| Sep 30, 2022 | 119,556.00 |
| Jun 30, 2022 | 137,959.00 |
| Mar 31, 2022 | 156,043.00 |
| Dec 31, 2021 | 173,314.00 |
| Sep 30, 2021 | 202,895.00 |
| Jun 30, 2021 | 206,966.00 |
API Access
Neuroone Medical Technologies Operating Leases 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-leases&ticker=NMTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=NMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();