GigaCloud Technology (GCT) Revenue (2023 - 2026)
GigaCloud Technology's Revenue came in at $411.64 million for Q2 2026, up 27.6% from $322.61 million a year earlier and up 14.5% from the prior quarter.
GigaCloud Technology (GCT) Revenue (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, GigaCloud Technology reported Revenue of $1.47 billion, up 22.9% year-over-year; for FY2025, it came in at $1.29 billion, up 11.1% from FY2024.
- Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- Going back by year, Revenue was $1.16 billion in FY2024 (+65.0%), $703.83 million in FY2023 (+43.6%), $490.07 million in FY2022 (+18.3%) and $414.2 million in FY2021 (+50.4%).
- The Q2 2026 figure represents the highest quarterly Revenue in data going back to Q1 2023.
- Year-over-year, Revenue has increased for ten consecutive quarters, with growth averaging 24.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 3.8% (Q2 2025) to 103.0% (Q2 2024).
- Business Quant data shows GCT's Revenue at $359.49 million (Q1 2026), $362.75 million (Q4 2025) and $332.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 4.84 Bn |
| 10 | GigaCloud Technology | 3.78 Bn | 2.26 Bn | 105.56 Mn | 411.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 411.64 Mn |
| Mar 31, 2026 | 359.49 Mn |
| Dec 31, 2025 | 362.75 Mn |
| Sep 30, 2025 | 332.64 Mn |
| Jun 30, 2025 | 322.61 Mn |
| Mar 31, 2025 | 271.91 Mn |
| Dec 31, 2024 | 295.78 Mn |
| Sep 30, 2024 | 303.32 Mn |
| Jun 30, 2024 | 310.87 Mn |
| Mar 31, 2024 | 251.08 Mn |
| Dec 31, 2023 | 244.74 Mn |
| Sep 30, 2023 | 178.17 Mn |
| Jun 30, 2023 | 153.13 Mn |
| Mar 31, 2023 | 127.80 Mn |
GigaCloud Technology Revenue 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=revenue&ticker=GCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();