GCT Semiconductor Holding (GCTS) Operating Expenses (2021 - 2026)
GCT Semiconductor Holding (GCTS) posted Operating Expenses of $7.19 million for Q2 2026, down 9.8% from $7.97 million a year earlier but up 1.6% from the prior quarter.
GCT Semiconductor Holding (GCTS) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at GCT Semiconductor Holding was $33.19 million, up 6.1% year-over-year; for FY2025, it was $34.72 million, up 90.8% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 213.0% (FY2021 to FY2025).
- In prior years, GCT Semiconductor Holding's Operating Expenses was $18.2 million in FY2024 (-14.5%), $21.29 million in FY2023, $1.17 million in FY2022 (+224.3%) and $361,567 in FY2021.
- Quarterly Operating Expenses has run from a low of -$5.28 million in Q1 2024 to a high of $10.72 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last seven quarters, with growth averaging 17.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 884.2%; the weakest was Q4 2022, with a decline of 22.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $7.08 million (Q1 2026), $10.72 million (Q4 2025) and $8.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 1.51 Bn |
| 10 | GCT Semiconductor Holding | 194.96 Mn | 148.60 Mn | -226,000.00 | 7.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.19 Mn |
| Mar 31, 2026 | 7.08 Mn |
| Dec 31, 2025 | 10.72 Mn |
| Sep 30, 2025 | 8.20 Mn |
| Jun 30, 2025 | 7.97 Mn |
| Mar 31, 2025 | 7.83 Mn |
| Dec 31, 2024 | 7.94 Mn |
| Sep 30, 2024 | 7.54 Mn |
| Jun 30, 2024 | 8.00 Mn |
| Mar 31, 2024 | -5.28 Mn |
| Dec 31, 2023 | 6.16 Mn |
| Sep 30, 2023 | 4.54 Mn |
| Jun 30, 2023 | 7.37 Mn |
| Mar 31, 2023 | 3.22 Mn |
| Dec 31, 2022 | 276,720.00 |
| Sep 30, 2022 | 286,566.00 |
| Jun 30, 2022 | 282,565.00 |
| Mar 31, 2022 | 326,655.00 |
| Sep 30, 2021 | 4,150.00 |
| Jun 30, 2021 | 473.00 |
GCT Semiconductor Holding Operating Expenses 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=operating-expenses&ticker=GCTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GCTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();