Neuroone Medical Technologies (NMTC) Accumulated Expenses (2014 - 2026)
Neuroone Medical Technologies (NMTC) posted Accumulated Expenses of $1.14 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 18.5% from $958,056 a year earlier and up 50.4% from the prior quarter.
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Analysis
Neuroone Medical Technologies (NMTC) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Neuroone Medical Technologies' Accumulated Expenses came in at $1.29 million, up 9.2% from FY2024.
- Annual Accumulated Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- In prior fiscal years, Neuroone Medical Technologies' Accumulated Expenses was $1.18 million in FY2024 (+6.9%), $1.11 million in FY2023 (+54.7%), $715,839 in FY2022 (+11.1%) and $644,249 in FY2021 (+25.6%).
- Quarterly Accumulated Expenses has run from a low of $356,374 in fiscal Q1 2022 to a high of $1.29 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 7.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2023, with growth of 64.9%; the weakest was fiscal Q1 2022, with a decline of 41.8%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $755,258 (Q2 2026), $706,112 (Q1 2026) and $1.29 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Neuroone Medical Technologies | 8.96 Mn | -6.06 Mn | 1.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Mn |
| Mar 31, 2026 | 755,258.00 |
| Dec 31, 2025 | 706,112.00 |
| Sep 30, 2025 | 1.29 Mn |
| Jun 30, 2025 | 958,056.00 |
| Mar 31, 2025 | 852,587.00 |
| Dec 31, 2024 | 826,386.00 |
| Sep 30, 2024 | 1.18 Mn |
| Jun 30, 2024 | 931,700.00 |
| Mar 31, 2024 | 759,620.00 |
| Dec 31, 2023 | 623,240.00 |
| Sep 30, 2023 | 1.11 Mn |
| Jun 30, 2023 | 789,097.00 |
| Mar 31, 2023 | 596,940.00 |
| Dec 31, 2022 | 473,085.00 |
| Sep 30, 2022 | 715,839.00 |
| Jun 30, 2022 | 487,244.00 |
| Mar 31, 2022 | 361,959.00 |
| Dec 31, 2021 | 356,374.00 |
| Sep 30, 2021 | 644,249.00 |
API Access
Neuroone Medical Technologies Accumulated 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=accumulated-expenses&ticker=NMTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();