Glucotrack (GCTK) Raw Materials (2014 - 2017)
Glucotrack's Raw Materials was $661,609 in Q3 2017, up 290.5% from $169,446 a year earlier but down 6.3% from the prior quarter.
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Analysis
Glucotrack (GCTK) Raw Materials (2014 - 2017) Analysis & Trends
At the end of FY2016, Raw Materials at Glucotrack came in at $735,201, up 257.5% from FY2015.
- In earlier years, Raw Materials was $205,645 in FY2015 (+270.2%) and $55,557 in FY2014.
- Quarterly Raw Materials has moved between $50,005 (Q1 2015) and $735,201 (Q4 2016) over five years.
- Compared with a year earlier, Raw Materials was higher in three of the last four quarters, with growth averaging 202.7%.
- Per Business Quant data, GCTK's Raw Materials in the three quarters before Q3 2017 was $705,810 (Q2 2017), $673,991 (Q1 2017) and $735,201 (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 | 661,609.00 |
| Jun 30, 2017 | 705,810.00 |
| Mar 31, 2017 | 673,991.00 |
| Dec 31, 2016 | 735,201.00 |
| Sep 30, 2016 | 169,446.00 |
| Dec 31, 2015 | 205,645.00 |
| Sep 30, 2015 | 182,492.00 |
| Jun 30, 2015 | 81,984.00 |
| Mar 31, 2015 | 50,005.00 |
| Dec 31, 2014 | 55,557.00 |
API Access
Glucotrack Raw Materials 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=raw-materials&ticker=GCTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();