GCT Semiconductor Holding (GCTS) Receivables - Net (2023 - 2026)
GCT Semiconductor Holding (GCTS) reported Receivables - Net of $1.15 million for Q2 2026, down 70.0% from $3.83 million a year earlier and down 52.4% from the prior quarter.
GCT Semiconductor Holding (GCTS) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, GCT Semiconductor Holding posted Receivables - Net of $2.6 million, down 54.8% from FY2024.
- By year, Receivables - Net came in at $5.74 million in FY2024 (+16.7%) and $4.92 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Receivables - Net in data going back to Q4 2023.
- Year over year, Receivables - Net has now declined in each of the last six quarters, with an average decline of 33.5% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.41 million (Q1 2026), $2.6 million (Q4 2025) and $3.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | GCT Semiconductor Holding | 194.96 Mn | 148.60 Mn | -226,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Mn |
| Mar 31, 2026 | 2.41 Mn |
| Dec 31, 2025 | 2.60 Mn |
| Sep 30, 2025 | 3.69 Mn |
| Jun 30, 2025 | 3.83 Mn |
| Mar 31, 2025 | 4.54 Mn |
| Dec 31, 2024 | 5.74 Mn |
| Sep 30, 2024 | 6.44 Mn |
| Jun 30, 2024 | 5.17 Mn |
| Mar 31, 2024 | 5.10 Mn |
| Dec 31, 2023 | 4.92 Mn |
GCT Semiconductor Holding Receivables - Net 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=receivables-net&ticker=GCTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=GCTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();