GigaCloud Technology (GCT) Capital Expenditures (2023 - 2026)
GigaCloud Technology (GCT) recorded Capital Expenditures of $3.32 million in Q2 2026, up 110.3% from $1.58 million a year earlier but down 25.8% from the prior quarter.
GigaCloud Technology (GCT) Capital Expenditures (2023 - 2026) Analysis & Trends
On a TTM basis, GigaCloud Technology's Capital Expenditures came in at $11.69 million as of Jun 30, 2026, up 25.5% year-over-year; for FY2025, it came in at $7.87 million, down 49.3% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 64.5% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $15.54 million in FY2024 (+254.7%), $4.38 million in FY2023 (+517.8%), $709,000 in FY2022 (-61.2%) and $1.83 million in FY2021 (+179.1%).
- Quarterly Capital Expenditures has ranged from $21,000 in Q2 2023 to $6.2 million in Q2 2024 over the past five years.
- On a year-over-year basis, Capital Expenditures has increased for three consecutive quarters, with growth averaging 64.3% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 477.7% in Q3 2024, against a decline of 74.6% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.47 million (Q1 2026), $2.71 million (Q4 2025) and $1.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 345.51 Mn |
| 10 | GigaCloud Technology | 3.63 Bn | 2.10 Bn | 105.56 Mn | 3.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.32 Mn |
| Mar 31, 2026 | 4.47 Mn |
| Dec 31, 2025 | 2.71 Mn |
| Sep 30, 2025 | 1.19 Mn |
| Jun 30, 2025 | 1.58 Mn |
| Mar 31, 2025 | 2.40 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 3.84 Mn |
| Jun 30, 2024 | 6.20 Mn |
| Mar 31, 2024 | 3.99 Mn |
| Dec 31, 2023 | 3.56 Mn |
| Sep 30, 2023 | 665,000.00 |
| Jun 30, 2023 | 21,000.00 |
| Mar 31, 2023 | 137,000.00 |
GigaCloud Technology Capital Expenditures 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=capital-expenditures&ticker=GCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();