Glucotrack (GCTK) Finished Goods (2014 - 2017)
Glucotrack's Finished Goods was $4,453 in Q3 2017, down 95.4% from $96,053 a year earlier and down 43.8% from the prior quarter.
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Analysis
Glucotrack (GCTK) Finished Goods (2014 - 2017) Analysis & Trends
At the end of FY2016, Finished Goods at Glucotrack came in at $51,271, down 13.8% from FY2015.
- In earlier years, Finished Goods was $59,467 in FY2015 (+411.0%) and $11,637 in FY2014.
- The Q3 2017 figure marks the lowest quarterly Finished Goods in data going back to Q4 2014.
- Compared with a year earlier, Finished Goods was higher in two of the last four quarters, with growth averaging 128.0%.
- Per Business Quant data, GCTK's Finished Goods in the three quarters before Q3 2017 was $7,920 (Q2 2017), $7,044 (Q1 2017) and $51,271 (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 | 4,453.00 |
| Jun 30, 2017 | 7,920.00 |
| Mar 31, 2017 | 7,044.00 |
| Dec 31, 2016 | 51,271.00 |
| Sep 30, 2016 | 96,053.00 |
| Dec 31, 2015 | 59,467.00 |
| Sep 30, 2015 | 30,975.00 |
| Jun 30, 2015 | 10,459.00 |
| Mar 31, 2015 | 11,982.00 |
| Dec 31, 2014 | 11,637.00 |
API Access
Glucotrack Finished Goods 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=finished-goods&ticker=GCTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();