Neuroone Medical Technologies (NMTC) Interest Expenses (2011 - 2016)
Neuroone Medical Technologies (NMTC) posted Interest Expenses of $3,053 for FY2021 (year ended Sep 30, 2021).
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Analysis
Neuroone Medical Technologies (NMTC) Interest Expenses (2011 - 2016) Analysis & Trends
Since FY2011, Neuroone Medical Technologies has reported Interest Expenses for 5 fiscal years.
- The FY2021 figure stands as the highest annual Interest Expenses since FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Neuroone Medical Technologies | 8.96 Mn | -6.06 Mn | 1.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 4,250.00 |
| Mar 31, 2015 | 11,583.00 |
| Sep 30, 2013 | -401.00 |
| Jun 30, 2013 | -327.00 |
| Mar 31, 2013 | -323.00 |
| Dec 31, 2012 | -58.00 |
| Sep 30, 2012 | -49.00 |
| Jun 30, 2012 | -65.00 |
| Mar 31, 2012 | -55.00 |
| Dec 31, 2011 | -56.00 |
| Sep 30, 2011 | -52.00 |
| Jun 30, 2011 | -38.00 |
| Mar 31, 2011 | -30.00 |
API Access
Neuroone Medical Technologies Interest 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=interest-expenses&ticker=NMTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=NMTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();