Neuroone Medical Technologies (NMTC) Cash & Equivalents (2017 - 2026)
Neuroone Medical Technologies' Cash & Equivalents came in at $2.05 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 74.5% from $8.04 million a year earlier and down 27.0% from the prior quarter.
Neuroone Medical Technologies (NMTC) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Neuroone Medical Technologies' Cash & Equivalents was $6.57 million, up 350.0% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $1.46 million in FY2024 (-72.6%), $5.32 million in FY2023 (-34.8%), $8.16 million in FY2022 (+18.2%) and $6.9 million in FY2021 (+71.0%).
- The fiscal Q3 2026 figure represents the lowest quarterly Cash & Equivalents since fiscal Q2 2025.
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 103.2%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q3 2025 (growth of 396.3%), and the weakest in fiscal Q3 2026 (a decline of 74.5%).
- Business Quant data shows NMTC's Cash & Equivalents at $2.8 million (Q2 2026), $3.6 million (Q1 2026) and $6.57 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Neuroone Medical Technologies | 8.62 Mn | -6.41 Mn | 1.18 Mn | 2.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.05 Mn |
| Mar 31, 2026 | 2.80 Mn |
| Dec 31, 2025 | 3.60 Mn |
| Sep 30, 2025 | 6.57 Mn |
| Jun 30, 2025 | 8.04 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 1.13 Mn |
| Sep 30, 2024 | 1.46 Mn |
| Jun 30, 2024 | 1.62 Mn |
| Mar 31, 2024 | 2.43 Mn |
| Dec 31, 2023 | 2.68 Mn |
| Sep 30, 2023 | 5.32 Mn |
| Jun 30, 2023 | 3.08 Mn |
| Mar 31, 2023 | 3.60 Mn |
| Dec 31, 2022 | 4.67 Mn |
| Sep 30, 2022 | 8.16 Mn |
| Jun 30, 2022 | 10.18 Mn |
| Mar 31, 2022 | 12.87 Mn |
| Dec 31, 2021 | 16.18 Mn |
| Sep 30, 2021 | 6.90 Mn |
Neuroone Medical Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=NMTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();