GigaCloud Technology (GCT) Cash & Equivalents (2021 - 2026)
GigaCloud Technology's Cash & Equivalents was $334.5 million in Q2 2026, up 39.3% from $240.12 million a year earlier and up 1.3% from the prior quarter.
GigaCloud Technology (GCT) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at GigaCloud Technology came in at $379.78 million, up 46.2% from FY2024.
- Cash & Equivalents has now increased for five consecutive years, with a five-year compound annual growth rate of 43.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $259.76 million in FY2024 (+41.7%), $183.28 million in FY2023 (+27.7%), $143.53 million in FY2022 (+124.8%) and $63.86 million in FY2021 (+2.7%).
- Quarterly Cash & Equivalents has moved between $63.86 million (Q4 2021) and $379.78 million (Q4 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for seven straight quarters, with growth averaging 39.7% over the last seven quarters.
- The year-over-year growth in Cash & Equivalents has ranged between 27.7% (Q4 2023) and 124.8% (Q4 2022) over the last five years.
- Per Business Quant data, GCT's Cash & Equivalents in the three quarters before Q2 2026 was $330.27 million (Q1 2026), $379.78 million (Q4 2025) and $334.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 262.18 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 253.73 Mn |
| 10 | GigaCloud Technology | 3.83 Bn | 2.30 Bn | 105.56 Mn | 334.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 334.50 Mn |
| Mar 31, 2026 | 330.27 Mn |
| Dec 31, 2025 | 379.78 Mn |
| Sep 30, 2025 | 334.85 Mn |
| Jun 30, 2025 | 240.12 Mn |
| Mar 31, 2025 | 251.71 Mn |
| Dec 31, 2024 | 259.76 Mn |
| Sep 30, 2024 | 217.58 Mn |
| Jun 30, 2024 | 185.62 Mn |
| Mar 31, 2024 | 185.21 Mn |
| Dec 31, 2023 | 183.28 Mn |
| Dec 31, 2022 | 143.53 Mn |
| Dec 31, 2021 | 63.86 Mn |
GigaCloud Technology Cash & Equivalents 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=cash-and-equivalents&ticker=GCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();