Neuroone Medical Technologies (NMTC) Payables (2010 - 2026)
Neuroone Medical Technologies (NMTC) recorded Payables of $905,716 in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 93.6% from $467,734 a year earlier but down 3.0% from the prior quarter.
Neuroone Medical Technologies (NMTC) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Neuroone Medical Technologies reported Payables of $1.01 million, down 1.8% from FY2024.
- Annual Payables has a five-year compound annual growth rate of -10.6% (FY2020 to FY2025).
- Across earlier fiscal years, Payables came in at $1.03 million in FY2024 (+26.4%), $814,220 in FY2023 (-12.2%), $927,662 in FY2022 (+75.4%) and $528,829 in FY2021 (-70.1%).
- Quarterly Payables has ranged from $325,027 in fiscal Q3 2022 to $1.03 million in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Payables rose in four of the last eight quarters, with growth averaging 6.9%.
- Peak year-over-year performance for Payables in the last five years was growth of 195.0% in fiscal Q3 2023, against a decline of 70.1% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $934,196 (Q2 2026), $552,332 (Q1 2026) and $1.01 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Neuroone Medical Technologies | 8.53 Mn | -6.49 Mn | 1.18 Mn | 905,716.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 905,716.00 |
| Mar 31, 2026 | 934,196.00 |
| Dec 31, 2025 | 552,332.00 |
| Sep 30, 2025 | 1.01 Mn |
| Jun 30, 2025 | 467,734.00 |
| Mar 31, 2025 | 910,754.00 |
| Dec 31, 2024 | 744,525.00 |
| Sep 30, 2024 | 1.03 Mn |
| Jun 30, 2024 | 759,260.00 |
| Mar 31, 2024 | 902,735.00 |
| Dec 31, 2023 | 760,000.00 |
| Sep 30, 2023 | 814,220.00 |
| Jun 30, 2023 | 958,811.00 |
| Mar 31, 2023 | 953,446.00 |
| Dec 31, 2022 | 861,638.00 |
| Sep 30, 2022 | 927,662.00 |
| Jun 30, 2022 | 325,027.00 |
| Mar 31, 2022 | 446,024.00 |
| Dec 31, 2021 | 703,718.00 |
| Sep 30, 2021 | 528,829.00 |
Neuroone Medical Technologies Payables 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=payables&ticker=NMTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=NMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();