GigaCloud Technology (GCT) Change in Accured Expenses (2023 - 2026)
GigaCloud Technology (GCT) reported Change in Accured Expenses of $7.15 million for Q2 2026, compared with -$14.6 million a year earlier.
GigaCloud Technology (GCT) Change in Accured Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, GigaCloud Technology's Change in Accured Expenses came in at $42.68 million, up 272.8% year-over-year; for FY2025, it came in at $52.91 million, up 38.5% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 34.5% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $38.19 million in FY2024 (-17.4%), $46.26 million in FY2023 (+120.5%), $20.98 million in FY2022 and $208,000 in FY2021 (-98.3%).
- Five-year quarterly Change in Accured Expenses spans a low of -$17.43 million in Q1 2026 and a high of $34.68 million in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$17.43 million (Q1 2026), $34.68 million (Q4 2025) and $18.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | GigaCloud Technology | 3.87 Bn | 2.34 Bn | 105.56 Mn | 7.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.15 Mn |
| Mar 31, 2026 | -17.43 Mn |
| Dec 31, 2025 | 34.68 Mn |
| Sep 30, 2025 | 18.28 Mn |
| Jun 30, 2025 | -14.60 Mn |
| Mar 31, 2025 | 14.55 Mn |
| Dec 31, 2024 | 27.21 Mn |
| Sep 30, 2024 | -15.71 Mn |
| Jun 30, 2024 | -1.20 Mn |
| Mar 31, 2024 | 27.89 Mn |
| Dec 31, 2023 | 27.21 Mn |
| Sep 30, 2023 | 9.17 Mn |
| Jun 30, 2023 | 4.53 Mn |
| Mar 31, 2023 | 5.35 Mn |
GigaCloud Technology Change in Accured 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=change-in-accured-expenses&ticker=GCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();