XCel Brands (XELB) Asset Writedowns and Impairment (2019 - 2024)
XCel Brands' Asset Writedowns and Impairment was $3.48 million in FY2024, compared with $100,000 in FY2023.
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Analysis
XCel Brands (XELB) Asset Writedowns and Impairment (2019 - 2024) Analysis & Trends
From FY2013 onward, XCel Brands has reported Asset Writedowns and Impairment for 8 years.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of -10.9% (FY2019 to FY2024).
- The FY2024 figure marks the highest annual Asset Writedowns and Impairment since FY2020.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was $100,000 in FY2023 (-63.5%), $274,000 in FY2022 (-80.0%), $1.37 million in FY2021 (-89.5%) and $13.11 million in FY2020 (+111.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | XCel Brands | 4.27 Mn | -1.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 1.19 Mn |
| Mar 31, 2024 | 2.30 Mn |
| Dec 31, 2020 | 13.00 Mn |
| Sep 30, 2020 | 31,000.00 |
| Jun 30, 2020 | 82,000.00 |
| Dec 31, 2019 | 6.20 Mn |
API Access
XCel Brands 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=XELB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "XELB", "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=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();