GigaCloud Technology (GCT) Asset Writedowns and Impairment (2023 - 2024)
GigaCloud Technology (GCT) reported Asset Writedowns and Impairment of -$88,000 for Q3 2024, compared with -$417,000 a year earlier.
GigaCloud Technology (GCT) Asset Writedowns and Impairment (2023 - 2024) Analysis & Trends
Over the twelve months ended Sep 30, 2024, GigaCloud Technology's Asset Writedowns and Impairment came in at $486,000; for FY2023, it came in at $671,000, up 111.0% from FY2022.
- Asset Writedowns and Impairment has a three-year compound annual growth rate of 140.9% (FY2020 to FY2023).
- By year, Asset Writedowns and Impairment came in at $318,000 in FY2022 (-75.3%), $1.29 million in FY2021 and $48,000 in FY2020.
- Five-year quarterly Asset Writedowns and Impairment spans a low of -$417,000 in Q3 2023 and a high of $1.06 million in Q2 2023.
- Per Business Quant data, the three quarters before Q3 2024 came in at $487,000 (Q2 2024), $304,000 (Q1 2024) and -$217,000 (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | GigaCloud Technology | 3.87 Bn | 2.34 Bn | 105.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -88,000.00 |
| Jun 30, 2024 | 487,000.00 |
| Mar 31, 2024 | 304,000.00 |
| Dec 31, 2023 | -217,000.00 |
| Sep 30, 2023 | -417,000.00 |
| Jun 30, 2023 | 1.06 Mn |
| Mar 31, 2023 | 242,000.00 |
GigaCloud Technology Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();