GigaCloud Technology (GCT) Total Liabilities (2021 - 2026)
GigaCloud Technology (GCT) recorded Total Liabilities of $739.69 million in Q2 2026, up 13.6% from $651.33 million a year earlier and up 2.7% from the prior quarter.
GigaCloud Technology (GCT) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, GigaCloud Technology reported Total Liabilities of $716.66 million, up 7.7% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a four-year compound annual growth rate of 69.1% (FY2021 to FY2025).
- Across earlier years, Total Liabilities came in at $665.26 million in FY2024 (+19.5%), $556.49 million in FY2023 (+149.1%), $223.44 million in FY2022 (+155.1%) and $87.6 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2021.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 6.1% over the last seven quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 155.1% in Q4 2022, against a decline of 6.5% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $719.92 million (Q1 2026), $716.66 million (Q4 2025) and $666.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | GigaCloud Technology | 3.78 Bn | 2.26 Bn | 105.56 Mn | 739.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 739.69 Mn |
| Mar 31, 2026 | 719.92 Mn |
| Dec 31, 2025 | 716.66 Mn |
| Sep 30, 2025 | 666.80 Mn |
| Jun 30, 2025 | 651.33 Mn |
| Mar 31, 2025 | 678.14 Mn |
| Dec 31, 2024 | 665.26 Mn |
| Sep 30, 2024 | 672.96 Mn |
| Jun 30, 2024 | 696.60 Mn |
| Mar 31, 2024 | 659.83 Mn |
| Dec 31, 2023 | 556.49 Mn |
| Dec 31, 2022 | 223.44 Mn |
| Dec 31, 2021 | 87.60 Mn |
GigaCloud Technology Total Liabilities 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=total-liabilities&ticker=GCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();