Glucotrack (GCTK) Times Interest Earned (2014 - 2024)
Glucotrack's (GCTK) Times Interest Earned was -650.20 for Q3 2024.
Analysis
Glucotrack (GCTK) Times Interest Earned (2014 - 2024) Analysis & Trends
Over the twelve months ended Sep 30, 2024, Glucotrack's Times Interest Earned came in at -536.94; for FY2015, it came in at -306.17.
- By year, Times Interest Earned came in at -1647.95 in FY2014, -172.12 in FY2013 and -419.92 in FY2012.
- The Q3 2024 figure ranks as the highest quarterly Times Interest Earned since Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.20 |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.82 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 10.53 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.48 |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 11.77 |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 12.27 |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 5.02 |
| 10 | Glucotrack | 547,659.96 | -25.38 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -650.20 |
| Sep 30, 2017 | -462.27 |
| Jun 30, 2017 | -332.26 |
| Mar 31, 2017 | 454.71 |
| Sep 30, 2016 | -302.53 |
| Jun 30, 2016 | -257.51 |
| Mar 31, 2016 | -521.19 |
| Dec 31, 2015 | -260.12 |
| Sep 30, 2015 | -1,323.30 |
| Jun 30, 2015 | -189.39 |
| Mar 31, 2015 | -340.04 |
| Jun 30, 2014 | -455.75 |
| Mar 31, 2014 | -387.93 |
API Access
Glucotrack Times Interest Earned 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=times-interest-earned&ticker=GCTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();