Digital Brands (DBGI) Assets (2020 - 2026)
Digital Brands' Assets was $46.67 million in Q2 2026, up 67.8% from $27.82 million a year earlier but down 1.4% from the prior quarter.
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Analysis
Digital Brands (DBGI) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Assets at Digital Brands came in at $44.49 million, up 123.7% from FY2024.
- Assets shows a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- In earlier years, Assets was $19.89 million in FY2024 (-21.5%), $25.34 million in FY2023 (-24.9%), $33.74 million in FY2022 (-7.5%) and $36.49 million in FY2021 (+123.1%).
- Quarterly Assets has moved between $19.89 million (Q4 2024) and $47.32 million (Q1 2026) over five years.
- Compared with a year earlier, Assets has increased for six straight quarters, with growth averaging 41.0% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q4 2025 (growth of 123.7%); the worst was Q1 2024 (a decline of 25.0%).
- Per Business Quant data, DBGI's Assets in the three quarters before Q2 2026 was $47.32 million (Q1 2026), $44.49 million (Q4 2025) and $41.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.69 Bn | 21.90 Bn | 4.80 Bn | 37.79 Bn |
| 2 | Tapestry | 23.89 Bn | 19.85 Bn | 1.56 Bn | 6.69 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 7.66 Bn |
| 4 | Deckers Outdoor | 12.31 Bn | 5.18 Bn | - | 3.69 Bn |
| 5 | Lululemon Athletica | 10.98 Bn | 5.24 Bn | 1.46 Bn | 8.48 Bn |
| 6 | Levi Strauss | 8.18 Bn | 4.76 Bn | 1.07 Bn | 6.93 Bn |
| 7 | V F | 6.77 Bn | 3.39 Bn | 917.04 Mn | 9.46 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 10.06 Bn |
| 9 | Birkenstock Holding | 6.06 Bn | 4.38 Bn | 493.89 Mn | 6.47 Bn |
| 10 | Digital Brands | 1.35 Mn | -13.79 Mn | 324,265.00 | 46.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.67 Mn |
| Mar 31, 2026 | 47.32 Mn |
| Dec 31, 2025 | 44.49 Mn |
| Sep 30, 2025 | 41.19 Mn |
| Jun 30, 2025 | 27.82 Mn |
| Mar 31, 2025 | 44.49 Mn |
| Dec 31, 2024 | 19.89 Mn |
| Sep 30, 2024 | 23.29 Mn |
| Jun 30, 2024 | 24.94 Mn |
| Mar 31, 2024 | 24.85 Mn |
| Dec 31, 2023 | 25.34 Mn |
| Sep 30, 2023 | 27.74 Mn |
| Jun 30, 2023 | 27.55 Mn |
| Mar 31, 2023 | 33.13 Mn |
| Dec 31, 2022 | 33.74 Mn |
| Sep 30, 2022 | 35.01 Mn |
| Jun 30, 2022 | 36.42 Mn |
| Mar 31, 2022 | 36.03 Mn |
| Dec 31, 2021 | 36.49 Mn |
| Sep 30, 2021 | 40.66 Mn |
API Access
Digital Brands Assets 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=assets&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();