GigaCloud Technology (GCT) Selling, General & Administrative (2023 - 2026)
GigaCloud Technology (GCT) reported Selling, General & Administrative of $19.16 million for Q2 2026, up 47.1% from $13.03 million a year earlier and up 96.3% from the prior quarter.
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Analysis
GigaCloud Technology (GCT) Selling, General & Administrative (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GigaCloud Technology's Selling, General & Administrative came in at $48.11 million, down 19.3% year-over-year; for FY2025, it was $46.56 million, down 37.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 39.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $73.94 million in FY2024 (+146.4%), $30.01 million in FY2023 (+32.6%), $22.63 million in FY2022 (-7.7%) and $24.52 million in FY2021 (+181.2%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q2 2024.
- Year over year, Selling, General & Administrative gained in three of the last eight quarters, with growth averaging 8.5%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2024 (growth of 281.0%); the low point was Q2 2025 (a decline of 50.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.76 million (Q1 2026), $10.68 million (Q4 2025) and $8.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 8.42 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 | 19.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.16 Mn |
| Mar 31, 2026 | 9.76 Mn |
| Dec 31, 2025 | 10.68 Mn |
| Sep 30, 2025 | 8.51 Mn |
| Jun 30, 2025 | 13.03 Mn |
| Mar 31, 2025 | 14.34 Mn |
| Dec 31, 2024 | 16.98 Mn |
| Sep 30, 2024 | 15.30 Mn |
| Jun 30, 2024 | 26.28 Mn |
| Mar 31, 2024 | 15.39 Mn |
| Dec 31, 2023 | 13.13 Mn |
| Sep 30, 2023 | 5.83 Mn |
| Jun 30, 2023 | 6.90 Mn |
| Mar 31, 2023 | 4.15 Mn |
API Access
GigaCloud Technology Selling, General & Administrative 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=selling-general-and-administrative&ticker=GCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();