Glucotrack (GCTK) Current Debt (2010 - 2016)
Glucotrack's Current Debt was $27,388 in Q1 2016.
Analysis
Glucotrack (GCTK) Current Debt (2010 - 2016) Analysis & Trends
On a trailing twelve-month basis, Glucotrack's Current Debt was $50,520 through Mar 31, 2016; for FY2013, it came in at -$38,801.
- In earlier years, Current Debt was $36,348 in FY2012, -$18,669 in FY2011, -$75,845 in FY2010 and $88,265 in FY2009.
- The Q1 2016 figure marks the highest quarterly Current Debt in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 64.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.93 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 812.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.68 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | -291.00 Mn |
| 10 | Glucotrack | 581,053.86 | -25.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 27,388.00 |
| Mar 31, 2014 | 23,793.00 |
| Dec 31, 2013 | -343.00 |
| Sep 30, 2013 | -318.00 |
| Jun 30, 2013 | -325.00 |
| Mar 31, 2013 | -37,815.00 |
| Dec 31, 2012 | -14,632.00 |
| Dec 31, 2011 | 274.00 |
| Sep 30, 2011 | 34.00 |
| Jun 30, 2011 | -29,303.00 |
| Mar 31, 2011 | 10,326.00 |
| Dec 31, 2010 | -71,653.00 |
API Access
Glucotrack Current Debt 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=current-debt&ticker=GCTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();