Glucotrack (GCTK) Operating Margin (2014 - 2020)
Glucotrack (GCTK) posted Operating Margin of -629896.91% for Q2 2020, down 629087.71 percentage points from -809.19% a year earlier and down 595122.30 percentage points from the prior quarter.
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Analysis
Glucotrack (GCTK) Operating Margin (2014 - 2020) Analysis & Trends
For FY2019, Glucotrack's Operating Margin came in at 1685.58%, up 16720.99 percentage points from FY2018.
- Annual Operating Margin shows a five-year change of +7720.47 percentage points (FY2014 to FY2019).
- In prior years, Glucotrack's Operating Margin was -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).
- The Q2 2020 figure stands as the lowest quarterly Operating Margin in data going back to Q3 2014.
- On a year-over-year basis, Operating Margin increased in 1 of the last four quarters, with an average year-over-year change of -164577.73 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q2 2018, with a gain of 17153.89 percentage points; the weakest was Q2 2020, with a drop of 629087.71 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was -34774.61% (Q1 2020), 9455.80% (Q4 2019) and -23484.38% (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.31% |
| 10 | Glucotrack | 581,053.86 | -25.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| 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% |
| Jun 30, 2015 | -1,627.81% |
| Mar 31, 2015 | -1,161.49% |
| Dec 31, 2014 | -3,102.19% |
| Sep 30, 2014 | -3,041.82% |
API Access
Glucotrack Operating Margin 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=operating-margin&ticker=GCTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();