GCT Semiconductor Holding (GCTS) Return on Assets [ROA] (2022 - 2026)
GCT Semiconductor Holding's Return on Assets [ROA] came in at -147.09% for Q2 2026, up 38.61 percentage points from -185.70% a year earlier and up 96.28 percentage points from the prior quarter.
GCT Semiconductor Holding (GCTS) Return on Assets [ROA] (2022 - 2026) Analysis & Trends
For FY2025, GCT Semiconductor Holding's Return on Assets [ROA] was -244.07%, down 175.91 percentage points from FY2024.
- Return on Assets [ROA] has declined in each of the last three years, with a three-year change of -250.89 percentage points (FY2022 to FY2025).
- Going back by year, Return on Assets [ROA] was -68.16% in FY2024 (-56.12 pp), -12.03% in FY2023 (-18.86 pp) and 6.82% in FY2022.
- The Q2 2026 figure represents the highest quarterly Return on Assets [ROA] since Q1 2025.
- Year-over-year, Return on Assets [ROA] increased in two of the last eight quarters, with an average year-over-year change of -72.08 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q2 2026 (a gain of 38.61 percentage points), and the weakest in Q4 2025 (a drop of 158.94 percentage points).
- Business Quant data shows GCTS's Return on Assets [ROA] at -243.37% (Q1 2026), -217.30% (Q4 2025) and -187.68% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 66.53% |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 7.86% |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 20.84% |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 42.83% |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 7.84% |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | -5.49% |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 32.78% |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 22.11% |
| 10 | GCT Semiconductor Holding | 194.96 Mn | 148.60 Mn | -226,000.00 | -147.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -147.09% |
| Mar 31, 2026 | -243.37% |
| Dec 31, 2025 | -217.30% |
| Sep 30, 2025 | -187.68% |
| Jun 30, 2025 | -185.70% |
| Mar 31, 2025 | -107.52% |
| Dec 31, 2024 | -58.36% |
| Sep 30, 2024 | -76.57% |
| Jun 30, 2024 | -50.12% |
| Mar 31, 2024 | -77.94% |
| Dec 31, 2023 | -75.06% |
| Sep 30, 2023 | -15.66% |
| Jun 30, 2023 | 0.37% |
| Mar 31, 2023 | 4.09% |
| Dec 31, 2022 | 6.81% |
| Sep 30, 2022 | 5.29% |
| Jun 30, 2022 | 4.40% |
GCT Semiconductor Holding Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GCTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GCTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();