Glucotrack (GCTK) Interest Expenses (2014 - 2024)
Glucotrack (GCTK) recorded Interest Expenses of $5,000 in Q3 2024.
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Analysis
Glucotrack (GCTK) Interest Expenses (2014 - 2024) Analysis & Trends
On a TTM basis, Glucotrack's Interest Expenses came in at $24,416 as of Sep 30, 2024; for FY2015, it came in at $15,205.
- Annual Interest Expenses has a three-year compound annual growth rate of 32.0% (FY2012 to FY2015).
- Across earlier years, 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 Interest Expenses since Q3 2017.
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 | 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 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=GCTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();