GigaCloud Technology (GCT) Operating Expenses (2023 - 2026)
GigaCloud Technology (GCT) reported Operating Expenses of $58.05 million for Q2 2026, up 41.2% from $41.1 million a year earlier and up 33.8% from the prior quarter.
Powered by 
Analysis
GigaCloud Technology (GCT) Operating Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GigaCloud Technology's Operating Expenses came in at $180.6 million, up 20.1% year-over-year; for FY2025, it came in at $155.69 million, up 0.7% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 38.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $154.61 million in FY2024 (+96.8%), $78.56 million in FY2023 (+63.3%), $48.09 million in FY2022 (-4.3%) and $50.24 million in FY2021 (+62.4%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2023.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 25.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 188.8%); the low point was Q2 2025 (a decline of 16.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $43.37 million (Q1 2026), $42.66 million (Q4 2025) and $36.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | GigaCloud Technology | 3.78 Bn | 2.26 Bn | 105.56 Mn | 58.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.05 Mn |
| Mar 31, 2026 | 43.37 Mn |
| Dec 31, 2025 | 42.66 Mn |
| Sep 30, 2025 | 36.53 Mn |
| Jun 30, 2025 | 41.10 Mn |
| Mar 31, 2025 | 35.40 Mn |
| Dec 31, 2024 | 37.36 Mn |
| Sep 30, 2024 | 36.53 Mn |
| Jun 30, 2024 | 49.00 Mn |
| Mar 31, 2024 | 31.73 Mn |
| Dec 31, 2023 | 32.71 Mn |
| Sep 30, 2023 | 17.16 Mn |
| Jun 30, 2023 | 16.96 Mn |
| Mar 31, 2023 | 11.72 Mn |
API Access
GigaCloud Technology Operating Expenses 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=operating-expenses&ticker=GCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();