GCT Semiconductor Holding (GCTS) Cash & Equivalents (2021 - 2026)
GCT Semiconductor Holding (GCTS) recorded Cash & Equivalents of $30.23 million in Q2 2026, compared with $1.3 million a year earlier and up 319.8% from the prior quarter.
GCT Semiconductor Holding (GCTS) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, GCT Semiconductor Holding reported Cash & Equivalents of $590,000, down 58.9% from FY2024.
- Annual Cash & Equivalents has a four-year compound annual growth rate of -16.5% (FY2021 to FY2025).
- Across earlier years, Cash & Equivalents came in at $1.44 million in FY2024 (+456.2%), $258,000 in FY2023 (-50.5%), $521,149 in FY2022 (-57.1%) and $1.21 million in FY2021.
- The Q2 2026 figure is the highest quarterly Cash & Equivalents in data going back to Q3 2021.
- On a year-over-year basis, Cash & Equivalents rose in four of the last seven quarters, with growth averaging 277.2%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 751.0% in Q3 2024, against a decline of 93.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.2 million (Q1 2026), $590,000 (Q4 2025) and $8.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | GCT Semiconductor Holding | 206.00 Mn | 159.64 Mn | -226,000.00 | 30.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.23 Mn |
| Mar 31, 2026 | 7.20 Mn |
| Dec 31, 2025 | 590,000.00 |
| Sep 30, 2025 | 8.34 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 1.44 Mn |
| Sep 30, 2024 | 1.81 Mn |
| Jun 30, 2024 | 4.04 Mn |
| Mar 31, 2024 | 16.12 Mn |
| Dec 31, 2023 | 258,000.00 |
| Sep 30, 2023 | 212,936.00 |
| Jun 30, 2023 | 699,150.00 |
| Mar 31, 2023 | 376,300.00 |
| Dec 31, 2022 | 521,149.00 |
| Sep 30, 2022 | 409,645.00 |
| Jun 30, 2022 | 541,119.00 |
| Mar 31, 2022 | 719,805.00 |
| Dec 31, 2021 | 1.21 Mn |
| Sep 30, 2021 | 80,688.00 |
GCT Semiconductor Holding Cash & Equivalents 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=cash-and-equivalents&ticker=GCTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GCTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();