GigaCloud Technology (GCT) Depreciation & Amortization (CF) (2023 - 2026)
GigaCloud Technology (GCT) recorded Depreciation & Amortization (CF) of $2.21 million in Q2 2026, up 3.0% from $2.14 million a year earlier but down 0.9% from the prior quarter.
GigaCloud Technology (GCT) Depreciation & Amortization (CF) (2023 - 2026) Analysis & Trends
On a TTM basis, GigaCloud Technology's Depreciation & Amortization (CF) came in at $8.57 million as of Jun 30, 2026, up 0.1% year-over-year; for FY2025, it was $8.33 million, down 2.3% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 105.6% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $8.52 million in FY2024 (+196.7%), $2.87 million in FY2023 (+107.3%), $1.39 million in FY2022 (+78.8%) and $775,000 in FY2021 (+241.4%).
- Quarterly Depreciation & Amortization (CF) has ranged from $380,000 in Q1 2023 to $2.27 million in Q4 2024 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in six of the last eight quarters, with growth averaging 59.5%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 447.6% in Q1 2024, against a decline of 10.7% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.23 million (Q1 2026), $2.03 million (Q4 2025) and $2.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 19.99 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 929.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 340.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 648.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 140.19 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 784.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 138.28 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 69.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 160.29 Mn |
| 10 | GigaCloud Technology | 3.72 Bn | 2.19 Bn | 105.56 Mn | 2.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.21 Mn |
| Mar 31, 2026 | 2.23 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Sep 30, 2025 | 2.12 Mn |
| Jun 30, 2025 | 2.14 Mn |
| Mar 31, 2025 | 2.05 Mn |
| Dec 31, 2024 | 2.27 Mn |
| Sep 30, 2024 | 2.11 Mn |
| Jun 30, 2024 | 2.06 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 1.72 Mn |
| Sep 30, 2023 | 390,000.00 |
| Jun 30, 2023 | 380,000.00 |
| Mar 31, 2023 | 380,000.00 |
GigaCloud Technology Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=GCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();