GigaCloud Technology (GCT) EV to EBITDA (2023 - 2026)
GigaCloud Technology's EV to EBITDA came in at 10.56 for Q2 2026, up 25.5% from 8.41 a year earlier and up 36.4% from the prior quarter.
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Analysis
GigaCloud Technology (GCT) EV to EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, GigaCloud Technology reported EV to EBITDA of 4.18, up 74.3% year-over-year; for FY2025, it came in at 16.13, up 89.1% from FY2024.
- Going back by year, EV to EBITDA was 8.53 in FY2024 (-26.4%), 11.59 in FY2023 (+379.9%) and 2.42 in FY2022.
- The five-year range for quarterly EV to EBITDA is 6.08 (Q1 2025) to 16.81 (Q2 2024).
- Year-over-year, EV to EBITDA has increased for four consecutive quarters, with growth averaging 2.6% over the last seven quarters.
- Business Quant data shows GCT's EV to EBITDA at 7.74 (Q1 2026), 16.13 (Q4 2025) and 12.38 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | GigaCloud Technology | 3.78 Bn | 2.26 Bn | 105.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.56 |
| Mar 31, 2026 | 7.74 |
| Dec 31, 2025 | 16.13 |
| Sep 30, 2025 | 12.38 |
| Jun 30, 2025 | 8.41 |
| Mar 31, 2025 | 6.08 |
| Dec 31, 2024 | 8.53 |
| Sep 30, 2024 | 11.02 |
| Jun 30, 2024 | 16.81 |
| Mar 31, 2024 | 15.12 |
| Dec 31, 2023 | 11.59 |
API Access
GigaCloud Technology EV to 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=ev-to-ebitda&ticker=GCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();