GCT Semiconductor Holding (GCTS) Shares Outstanding (2021 - 2026)
GCT Semiconductor Holding (GCTS) recorded Weighted Average Shares Outstanding of 82.56 million in Q2 2026, up 59.7% from 51.7 million a year earlier and up 25.0% from the prior quarter.
GCT Semiconductor Holding (GCTS) Shares Outstanding (2021 - 2026) Analysis & Trends
For FY2025, GCT Semiconductor Holding reported Weighted Average Shares Outstanding of 52.87 million, up 30.1% from FY2024.
- Annual Weighted Average Shares Outstanding has a four-year compound annual growth rate of 41.1% (FY2021 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 40.63 million in FY2024 (+182.6%), 14.37 million in FY2023 (-81.5%), 77.63 million in FY2022 (+482.0%) and 13.34 million in FY2021.
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2021.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for nine consecutive quarters, with growth averaging 76.3% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 482.0% in Q4 2022, against a decline of 81.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 66.07 million (Q1 2026), 52.87 million (Q4 2025) and 55.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 189.55 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 25.93 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 24.19 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 4.77 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 1.64 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 1.13 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | 388.50 Mn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 5.24 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 794.00 Mn |
| 10 | GCT Semiconductor Holding | 132.43 Mn | 86.07 Mn | -226,000.00 | 82.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.56 Mn |
| Mar 31, 2026 | 66.07 Mn |
| Dec 31, 2025 | 52.87 Mn |
| Sep 30, 2025 | 55.46 Mn |
| Jun 30, 2025 | 51.70 Mn |
| Mar 31, 2025 | 47.61 Mn |
| Dec 31, 2024 | 40.63 Mn |
| Sep 30, 2024 | 45.65 Mn |
| Jun 30, 2024 | 44.06 Mn |
| Mar 31, 2024 | 25.47 Mn |
| Dec 31, 2023 | 14.37 Mn |
| Sep 30, 2023 | 16.70 Mn |
| Jun 30, 2023 | 15.42 Mn |
| Mar 31, 2023 | 77.63 Mn |
| Dec 31, 2022 | 77.63 Mn |
| Sep 30, 2022 | 43.13 Mn |
| Jun 30, 2022 | 34.50 Mn |
| Mar 31, 2022 | 34.50 Mn |
| Dec 31, 2021 | 13.34 Mn |
| Sep 30, 2021 | 7.50 Mn |
GCT Semiconductor Holding Shares Outstanding 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=shares-outstanding&ticker=GCTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GCTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();