Digital Brands (DBGI) Assets (2020 - 2026)
Digital Brands' (DBGI) quarterly Assets came in at $46.7 million in Q2 2026, up 67.77% on a YoY basis from $27.8 million in Q2 2025, and down 1.36% quarter-over-quarter from $47.3 million in Q1 2026.
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Digital Brands (DBGI) Assets (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Assets for 7 consecutive years, with $46.7 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Assets rose 67.77% year-over-year to $46.7 million; the trailing twelve-month figure through Jun 2026 stood at $46.7 million (up 67.77% YoY), and the FY2025 full-year result was $44.5 million, up 123.67% from the prior year.
- Assets fell to $46.7 million in Q2 2026 per DBGI's latest filing, from $47.3 million in the prior quarter.
- Across five years, Assets topped out at $47.3 million in Q1 2026 and bottomed at $19.9 million in Q4 2024.
- Historically, Assets has averaged $33.3 million across 5 years, with a median of $33.4 million in 2022.
- The sharpest annual moves came in 2024 and 2025: Assets fell 25.0% in 2024, then soared 123.67% in 2025.
- Over 5 years, Assets stood at $33.7 million in 2022, then decreased by 24.9% to $25.3 million in 2023, then dropped by 21.49% to $19.9 million in 2024, then surged by 123.67% to $44.5 million in 2025, then advanced by 4.91% to $46.7 million in 2026.
- According to Business Quant data, Assets over the past three periods registered $46.7 million, $47.3 million, and $44.5 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 8.48 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 6.63 Bn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 10.06 Bn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 9.46 Bn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 2.67 Bn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 11.42 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 2.80 Bn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 772.32 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 582.68 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 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();