GigaCloud Technology (GCT) Intangibles (2023 - 2026)
GigaCloud Technology's Intangibles came in at $4.62 million for Q2 2026, down 17.3% from $5.59 million a year earlier and down 6.3% from the prior quarter.
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Analysis
GigaCloud Technology (GCT) Intangibles (2023 - 2026) Analysis & Trends
At the end of FY2025, GigaCloud Technology's Intangibles was $4.98 million, down 19.7% from FY2024.
- Going back by year, Intangibles was $6.2 million in FY2024 (-25.9%) and $8.37 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly Intangibles in data going back to Q4 2023.
- Year-over-year, Intangibles has declined for seven consecutive quarters, with an average decline of 21.2% over the last seven quarters.
- Business Quant data shows GCT's Intangibles at $4.94 million (Q1 2026), $4.98 million (Q4 2025) and $5.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 10.48 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 5.71 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 53.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | GigaCloud Technology | 3.72 Bn | 2.19 Bn | 105.56 Mn | 4.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.62 Mn |
| Mar 31, 2026 | 4.94 Mn |
| Dec 31, 2025 | 4.98 Mn |
| Sep 30, 2025 | 5.28 Mn |
| Jun 30, 2025 | 5.59 Mn |
| Mar 31, 2025 | 5.89 Mn |
| Dec 31, 2024 | 6.20 Mn |
| Sep 30, 2024 | 6.74 Mn |
| Jun 30, 2024 | 7.28 Mn |
| Mar 31, 2024 | 7.82 Mn |
| Dec 31, 2023 | 8.37 Mn |
API Access
GigaCloud Technology Intangibles 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=intangibles&ticker=GCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "GCT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();