GigaCloud Technology (GCT) EBITDA (2023 - 2026)
GigaCloud Technology's EBITDA was $49.72 million in Q2 2026, up 30.9% from $37.98 million a year earlier and up 11.2% from the prior quarter.
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Analysis
GigaCloud Technology (GCT) EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, GigaCloud Technology's EBITDA was $179.37 million through Jun 30, 2026, up 27.1% year-over-year; for FY2025, it was $153.31 million, up 10.2% from FY2024.
- EBITDA has now increased for three consecutive years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $139.15 million in FY2024 (+23.2%), $112.95 million in FY2023 (+210.2%), $36.41 million in FY2022 (-9.3%) and $40.13 million in FY2021 (-9.6%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q1 2023.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 17.6% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2024 (growth of 102.3%); the worst was Q4 2024 (a decline of 23.0%).
- Per Business Quant data, GCT's EBITDA in the three quarters before Q2 2026 was $44.71 million (Q1 2026), $42.32 million (Q4 2025) and $42.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.08 Bn |
| 10 | GigaCloud Technology | 3.78 Bn | 2.26 Bn | 105.56 Mn | 49.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.72 Mn |
| Mar 31, 2026 | 44.71 Mn |
| Dec 31, 2025 | 42.32 Mn |
| Sep 30, 2025 | 42.64 Mn |
| Jun 30, 2025 | 37.98 Mn |
| Mar 31, 2025 | 30.37 Mn |
| Dec 31, 2024 | 29.91 Mn |
| Sep 30, 2024 | 42.83 Mn |
| Jun 30, 2024 | 29.51 Mn |
| Mar 31, 2024 | 36.90 Mn |
| Dec 31, 2023 | 38.85 Mn |
| Sep 30, 2023 | 32.09 Mn |
| Jun 30, 2023 | 23.78 Mn |
| Mar 31, 2023 | 18.24 Mn |
API Access
GigaCloud Technology EBITDA 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=ebitda&ticker=GCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();