Glucotrack (GCTK) Return on Sales [ROS] (2014 - 2020)
Glucotrack (GCTK) recorded Return on Sales [ROS] of 5929.83% in Q3 2020, up 29414.22 percentage points from -23484.38% a year earlier and up 635826.74 percentage points from the prior quarter.
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Analysis
Glucotrack (GCTK) Return on Sales [ROS] (2014 - 2020) Analysis & Trends
For FY2019, Glucotrack reported Return on Sales [ROS] of 1685.58%, up 16720.99 percentage points from FY2018.
- Annual Return on Sales [ROS] has a five-year change of +7720.47 percentage points (FY2014 to FY2019).
- Across earlier years, Return on Sales [ROS] came in at -15035.41% in FY2018 (-16829.57 pp), 1794.15% in FY2017 (+2718.78 pp), -924.63% in FY2016 (+2327.07 pp) and -3251.69% in FY2015 (+2783.20 pp).
- Quarterly Return on Sales [ROS] has ranged from -629896.91% in Q2 2020 to 9455.80% in Q4 2019 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -81277.00 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 29414.22 percentage points in Q3 2020, against a drop of 629087.71 percentage points in Q2 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at -629896.91% (Q2 2020), -34774.61% (Q1 2020) and 9455.80% (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Glucotrack | 404,066.20 | -25.53 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 5,929.83% |
| Jun 30, 2020 | -629,896.91% |
| Mar 31, 2020 | -34,774.61% |
| Dec 31, 2019 | 9,455.80% |
| Sep 30, 2019 | -23,484.38% |
| Jun 30, 2019 | -809.19% |
| Mar 31, 2019 | 4,010.07% |
| Dec 31, 2018 | -6,252.26% |
| Sep 30, 2018 | 3,306.13% |
| Jun 30, 2018 | -13,130.81% |
| Mar 31, 2018 | 6,770.21% |
| Dec 31, 2017 | 3,984.61% |
| Sep 30, 2017 | -12,671.59% |
| Jun 30, 2017 | -30,284.70% |
| Mar 31, 2017 | 2,701.25% |
| Dec 31, 2016 | -1,020.51% |
| Sep 30, 2016 | -13,154.55% |
| Jun 30, 2016 | -414.80% |
| Mar 31, 2016 | -1,418.33% |
| Dec 31, 2015 | -3,251.69% |
API Access
Glucotrack Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GCTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();