Neuroone Medical Technologies (NMTC) Amortizatization of Intangibles (2016 - 2020)
Neuroone Medical Technologies' Amortizatization of Intangibles was $11,067 in fiscal Q2 2020 (quarter ended Mar 31, 2020), up 108.4% from $5,311 a year earlier and up 11.8% from the prior quarter.
Neuroone Medical Technologies (NMTC) Amortizatization of Intangibles (2016 - 2020) Analysis & Trends
On a trailing twelve-month basis, Neuroone Medical Technologies' Amortizatization of Intangibles was $37,218 through Mar 31, 2020, up 120.3% year-over-year; for FY2019 (ended Sep 30, 2019), it came in at $27,569, up 69.2% from FY2018.
- In earlier fiscal years, Amortizatization of Intangibles was $16,291 in FY2018 and $4,265 in FY2017.
- Per Business Quant data, NMTC's Amortizatization of Intangibles in the three fiscal quarters before Q2 2020 was $9,898 (Q1 2020), $10,942 (Q4 2019) and $5,311 (Q3 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 485.00 Mn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 658.00 Mn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 463.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 24.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | - |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 175.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | - |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Neuroone Medical Technologies | 9.75 Mn | -5.27 Mn | 1.18 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 11,067.00 |
| Dec 31, 2019 | 9,898.00 |
| Jun 30, 2019 | 5,311.00 |
| Mar 31, 2019 | 5,311.00 |
| Dec 31, 2018 | 5,311.00 |
| Dec 31, 2017 | 4,265.00 |
| Mar 31, 2017 | 5,007.00 |
| Dec 31, 2016 | 1,269.00 |
Neuroone Medical Technologies Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=NMTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=NMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();