Glucotrack (GCTK) Non Operating Interest Expenses (2014 - 2024)
Glucotrack (GCTK) recorded Non Operating Interest Expenses of $5,000 in Q3 2024.
Powered by 
Analysis
Glucotrack (GCTK) Non Operating Interest Expenses (2014 - 2024) Analysis & Trends
On a TTM basis, Glucotrack's Non Operating Interest Expenses came in at $24,416 as of Sep 30, 2024; for FY2015, it came in at $15,205.
- Annual Non Operating Interest Expenses has a three-year compound annual growth rate of 32.0% (FY2012 to FY2015).
- Across earlier years, Non Operating Interest Expenses came in at -$2,189 in FY2014, $17,592 in FY2013 (+166.3%) and $6,605 in FY2012.
- The Q3 2024 figure is the highest quarterly Non Operating Interest Expenses since Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | Glucotrack | 547,659.96 | -25.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 5,000.00 |
| Sep 30, 2017 | 5,729.00 |
| Jun 30, 2017 | 7,970.00 |
| Mar 31, 2017 | 5,717.00 |
| Sep 30, 2016 | 4,913.00 |
| Jun 30, 2016 | 6,149.00 |
| Mar 31, 2016 | 2,426.00 |
| Dec 31, 2015 | 5,978.00 |
| Sep 30, 2015 | 849.00 |
| Jun 30, 2015 | 5,788.00 |
| Mar 31, 2015 | 2,590.00 |
| Jun 30, 2014 | 1,936.00 |
| Mar 31, 2014 | 2,287.00 |
API Access
Glucotrack Non Operating 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=non-operating-interest-expenses&ticker=GCTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GCTK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();