GCT Semiconductor Holding (GCTS) Change in Taxes (2022 - 2025)
GCT Semiconductor Holding's Change in Taxes was -$125,000 in Q3 2025, compared with $64,000 a year earlier.
GCT Semiconductor Holding (GCTS) Change in Taxes (2022 - 2025) Analysis & Trends
On a trailing twelve-month basis, GCT Semiconductor Holding's Change in Taxes was -$393,000 through Sep 30, 2025; for FY2024, it was $91,000, down 64.3% from FY2023.
- In earlier years, Change in Taxes was $255,000 in FY2023 (-47.4%) and $485,207 in FY2022.
- Quarterly Change in Taxes has moved between -$930,084 (Q2 2023) and $783,084 (Q1 2023) over five years.
- Per Business Quant data, GCTS's Change in Taxes in the three quarters before Q3 2025 was -$228,000 (Q2 2025), -$96,000 (Q1 2025) and $56,000 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | - |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | -646.00 Mn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 137.00 Mn |
| 10 | GCT Semiconductor Holding | 195.88 Mn | 149.52 Mn | -226,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -125,000.00 |
| Jun 30, 2025 | -228,000.00 |
| Mar 31, 2025 | -96,000.00 |
| Dec 31, 2024 | 56,000.00 |
| Sep 30, 2024 | 64,000.00 |
| Jun 30, 2024 | 54,000.00 |
| Mar 31, 2024 | -83,000.00 |
| Dec 31, 2023 | 390,000.00 |
| Sep 30, 2023 | 12,000.00 |
| Jun 30, 2023 | -930,084.00 |
| Mar 31, 2023 | 783,084.00 |
| Dec 31, 2022 | 104,150.00 |
| Sep 30, 2022 | 323,088.00 |
GCT Semiconductor Holding Change in Taxes 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=change-in-taxes&ticker=GCTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=GCTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();