Glucotrack (GCTK) Work In Process (2014 - 2017)
Glucotrack (GCTK) posted Work In Process of $828,146 for Q3 2017, up 102.7% from $408,600 a year earlier and up 4.2% from the prior quarter.
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Analysis
Glucotrack (GCTK) Work In Process (2014 - 2017) Analysis & Trends
At the end of FY2016, Glucotrack's Work In Process came in at $633,132, up 14.9% from FY2015.
- In prior years, Glucotrack's Work In Process was $551,111 in FY2015 and $16,459 in FY2014.
- The Q3 2017 figure stands as the highest quarterly Work In Process in data going back to Q4 2014.
- According to Business Quant data, Work In Process for the three prior quarters was $794,582 (Q2 2017), $742,226 (Q1 2017) and $633,132 (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 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 |
| 10 | Glucotrack | 581,053.86 | -25.35 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 828,146.00 |
| Jun 30, 2017 | 794,582.00 |
| Mar 31, 2017 | 742,226.00 |
| Dec 31, 2016 | 633,132.00 |
| Sep 30, 2016 | 408,600.00 |
| Dec 31, 2015 | 551,111.00 |
| Sep 30, 2015 | 46,802.00 |
| Jun 30, 2015 | 45,596.00 |
| Mar 31, 2015 | 13,218.00 |
| Dec 31, 2014 | 16,459.00 |
API Access
Glucotrack Work In Process 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=work-in-process&ticker=GCTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();