Neuroone Medical Technologies (NMTC) Capital Expenditures (2019 - 2026)
Neuroone Medical Technologies' Capital Expenditures was $19,659 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 54.9% from $43,548 a year earlier and down 49.0% from the prior quarter.
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Analysis
Neuroone Medical Technologies (NMTC) Capital Expenditures (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Neuroone Medical Technologies' Capital Expenditures was $109,536 through Jun 30, 2026, up 1.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $81,742, down 32.0% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -7.8% (FY2020 to FY2025).
- In earlier fiscal years, Capital Expenditures was $120,197 in FY2024 (-68.7%), $384,117 in FY2023 (+39.6%), $275,226 in FY2022 (+310.3%) and $67,079 in FY2021 (-45.2%).
- Quarterly Capital Expenditures has moved between $3,171 (fiscal Q2 2025) and $175,694 (fiscal Q2 2023) over five years.
- Compared with a year earlier, Capital Expenditures was higher in two of the last seven quarters, with an average decline of 3.6%.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q1 2024 (growth of 222.5%); the worst was fiscal Q2 2025 (a decline of 89.9%).
- Per Business Quant data, NMTC's Capital Expenditures in the three fiscal quarters before Q3 2026 was $38,516 (Q2 2026), $40,754 (Q1 2026) and $10,607 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Neuroone Medical Technologies | 9.49 Mn | -5.54 Mn | 1.18 Mn | 19,659.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19,659.00 |
| Mar 31, 2026 | 38,516.00 |
| Dec 31, 2025 | 40,754.00 |
| Sep 30, 2025 | 10,607.00 |
| Jun 30, 2025 | 43,548.00 |
| Mar 31, 2025 | 3,171.00 |
| Dec 31, 2024 | 24,416.00 |
| Sep 30, 2024 | 36,905.00 |
| Jun 30, 2024 | 14,801.00 |
| Mar 31, 2024 | 31,360.00 |
| Dec 31, 2023 | 37,131.00 |
| Sep 30, 2023 | 57,620.00 |
| Jun 30, 2023 | 139,291.00 |
| Mar 31, 2023 | 175,694.00 |
| Dec 31, 2022 | 11,512.00 |
| Sep 30, 2022 | 66,182.00 |
| Jun 30, 2022 | 54,234.00 |
| Mar 31, 2022 | 93,319.00 |
| Dec 31, 2021 | 61,491.00 |
| Sep 30, 2021 | 35,109.00 |
API Access
Neuroone Medical Technologies Capital Expenditures 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=capital-expenditures&ticker=NMTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=NMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();