GigaCloud Technology (GCT) Tax Provisions (2023 - 2026)
GigaCloud Technology's Tax Provisions was $7.57 million in Q2 2026, up 18.3% from $6.4 million a year earlier but down 2.9% from the prior quarter.
GigaCloud Technology (GCT) Tax Provisions (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, GigaCloud Technology's Tax Provisions was $27.43 million through Jun 30, 2026, up 48.9% year-over-year; for FY2025, it came in at $23.82 million, up 60.9% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $14.81 million in FY2024 (-29.1%), $20.89 million in FY2023 (+190.4%), $7.19 million in FY2022 (-15.1%) and $8.47 million in FY2021 (+8.3%).
- Quarterly Tax Provisions has moved between -$573,000 (Q4 2024) and $7.8 million (Q1 2026) over five years.
- Compared with a year earlier, Tax Provisions was higher in four of the last six quarters, with growth averaging 47.5%.
- The best year-over-year quarter for Tax Provisions over five years was Q2 2025 (growth of 210.0%); the worst was Q2 2024 (a decline of 51.6%).
- Per Business Quant data, GCT's Tax Provisions in the three quarters before Q2 2026 was $7.8 million (Q1 2026), $5.2 million (Q4 2025) and $6.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 283.46 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 582.00 Mn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 209.01 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 66.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 171.78 Mn |
| 10 | GigaCloud Technology | 3.78 Bn | 2.26 Bn | 105.56 Mn | 7.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.57 Mn |
| Mar 31, 2026 | 7.80 Mn |
| Dec 31, 2025 | 5.20 Mn |
| Sep 30, 2025 | 6.86 Mn |
| Jun 30, 2025 | 6.40 Mn |
| Mar 31, 2025 | 5.40 Mn |
| Dec 31, 2024 | -573,000.00 |
| Sep 30, 2024 | 7.19 Mn |
| Jun 30, 2024 | 2.07 Mn |
| Mar 31, 2024 | 6.13 Mn |
| Dec 31, 2023 | 7.27 Mn |
| Sep 30, 2023 | 5.59 Mn |
| Jun 30, 2023 | 4.27 Mn |
| Mar 31, 2023 | 3.76 Mn |
GigaCloud Technology Tax Provisions 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=tax-provisions&ticker=GCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();