Glucotrack (GCTK) Price to Earnings (2014 - 2024)
Glucotrack's Price to Earnings was 2.37 in Q1 2024, down 7.6% from 2.56 a year earlier but up 132.7% from the prior quarter.
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Analysis
Glucotrack (GCTK) Price to Earnings (2014 - 2024) Analysis & Trends
For FY2023, Price to Earnings at Glucotrack came in at 0.69, down 86.0% from FY2022.
- In earlier years, Price to Earnings was 4.92 in FY2022.
- Quarterly Price to Earnings has moved between 1.02 (Q4 2023) and 27.82 (Q4 2019) over five years.
- Per Business Quant data, GCTK's Price to Earnings in the three quarters before Q1 2024 was 1.02 (Q4 2023), 1.29 (Q3 2023) and 2.43 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Glucotrack | 404,066.20 | -25.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 2.37 |
| Dec 31, 2023 | 1.02 |
| Sep 30, 2023 | 1.29 |
| Jun 30, 2023 | 2.43 |
| Mar 31, 2023 | 2.56 |
| Dec 31, 2022 | 9.71 |
| Sep 30, 2020 | 18.23 |
| Jun 30, 2020 | 17.85 |
| Mar 31, 2020 | 20.81 |
| Dec 31, 2019 | 27.82 |
| Sep 30, 2018 | 0.55 |
| Jun 30, 2018 | 0.88 |
| Mar 31, 2018 | 0.93 |
| Dec 31, 2017 | 1.36 |
| Mar 31, 2015 | 13.13 |
| Dec 31, 2014 | 11.78 |
API Access
Glucotrack Price to Earnings 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=price-to-earnings&ticker=GCTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GCTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();