Digital Brands (DBGI) Asset Writedowns and Impairment (2020 - 2024)
Digital Brands (DBGI) reported Asset Writedowns and Impairment of $5.67 million for FY2025, up 308.8% from $1.39 million in FY2024.
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Analysis
Digital Brands (DBGI) Asset Writedowns and Impairment (2020 - 2024) Analysis & Trends
Dating back to FY2020, Digital Brands' Asset Writedowns and Impairment record includes 5 years.
- Asset Writedowns and Impairment has a five-year compound annual growth rate of 48.5% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Asset Writedowns and Impairment since FY2022.
- According to Business Quant data, Asset Writedowns and Impairment came in at $1.39 million in FY2024, $15.54 million in FY2022 (+357.0%) and $3.4 million in FY2021 (+333.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn |
| 10 | Digital Brands | 711,794.17 | -14.43 Mn | 324,265.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 788,000.00 |
| Sep 30, 2024 | 600,000.00 |
| Sep 30, 2020 | 784,500.00 |
API Access
Digital 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=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "DBGI", "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=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();