GigaCloud Technology (GCT) Long-Term Debt Repayments (2023 - 2026)
GigaCloud Technology (GCT) posted Long-Term Debt Repayments of $152,000 for Q2 2026, up 5.6% from $144,000 a year earlier and up 2.7% from the prior quarter.
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Analysis
GigaCloud Technology (GCT) Long-Term Debt Repayments (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at GigaCloud Technology was $499,000, down 33.9% year-over-year; for FY2025, it came in at $377,000, down 78.2% from FY2024.
- Annual Long-Term Debt Repayments has declined for three consecutive years, though with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In prior years, GigaCloud Technology's Long-Term Debt Repayments was $1.73 million in FY2024 (-22.0%), $2.21 million in FY2023 (-39.0%), $3.62 million in FY2022 (+43.5%) and $2.53 million in FY2021 (+722.8%).
- Quarterly Long-Term Debt Repayments has run from a low of -$57 million in Q4 2025 to a high of $57.2 million in Q3 2025 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last six quarters, with growth averaging 9.4%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2024, with growth of 702.9%; the weakest was Q1 2025, with a decline of 94.3%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $148,000 (Q1 2026), -$57 million (Q4 2025) and $57.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 21.00 Mn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | - |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 21.00 Mn |
| 10 | GigaCloud Technology | 2.15 Bn | 630.71 Mn | 105.56 Mn | 152,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152,000.00 |
| Mar 31, 2026 | 148,000.00 |
| Dec 31, 2025 | -57.28 Mn |
| Sep 30, 2025 | 57.48 Mn |
| Jun 30, 2025 | 144,000.00 |
| Mar 31, 2025 | 34,000.00 |
| Dec 31, 2024 | 137,000.00 |
| Sep 30, 2024 | 440,000.00 |
| Jun 30, 2024 | 554,000.00 |
| Mar 31, 2024 | 595,000.00 |
| Dec 31, 2023 | 569,000.00 |
| Sep 30, 2023 | 786,000.00 |
| Jun 30, 2023 | 138,000.00 |
| Mar 31, 2023 | 916,000.00 |
API Access
GigaCloud Technology Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();