GCT Semiconductor Holding (GCTS) Price to Earnings (2022 - 2023)
GCT Semiconductor Holding's Price to Earnings came in at 60.61 for Q3 2023, up 291.4% from 15.49 a year earlier and up 175.1% from the prior quarter.
Analysis
GCT Semiconductor Holding (GCTS) Price to Earnings (2022 - 2023) Analysis & Trends
For FY2022, GCT Semiconductor Holding's Price to Earnings was 32.61, down 30.0% from FY2021.
- Going back by year, Price to Earnings was 46.56 in FY2021.
- The Q3 2023 figure represents the highest quarterly Price to Earnings in data going back to Q4 2021.
- Year-over-year, Price to Earnings has increased for three consecutive quarters, with growth averaging 102.6% over the last four quarters.
- Business Quant data shows GCTS's Price to Earnings at 22.03 (Q2 2023), 54.81 (Q1 2023) and 32.61 (Q4 2022) in the three quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | GCT Semiconductor Holding | 206.00 Mn | 159.64 Mn | -226,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 60.61 |
| Jun 30, 2023 | 22.03 |
| Mar 31, 2023 | 54.81 |
| Dec 31, 2022 | 32.61 |
| Sep 30, 2022 | 23.06 |
| Jun 30, 2022 | 27.56 |
API Access
GCT Semiconductor Holding 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=GCTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "GCTS", "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=GCTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();