Digital Brands (DBGI) Return on Assets [ROA] (2021 - 2026)
Digital Brands' Return on Assets [ROA] came in at -87.11% for Q2 2026, down 50.68 percentage points from -36.44% a year earlier and down 9.86 percentage points from the prior quarter.
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Analysis
Digital Brands (DBGI) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Digital Brands' Return on Assets [ROA] was -93.35%, down 35.76 percentage points from FY2024.
- Return on Assets [ROA] carries a four-year change of +29.48 percentage points (FY2021 to FY2025).
- Going back by year, Return on Assets [ROA] was -57.59% in FY2024 (-22.90 pp), -34.69% in FY2023 (+73.66 pp), -108.35% in FY2022 (+14.48 pp) and -122.83% in FY2021.
- The Q2 2026 figure represents the lowest quarterly Return on Assets [ROA] since Q1 2023.
- Year-over-year, Return on Assets [ROA] has declined for three consecutive quarters, with an average year-over-year change of -10.05 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q1 2024 (a gain of 89.60 percentage points), and the weakest in Q2 2026 (a drop of 50.68 percentage points).
- Business Quant data shows DBGI's Return on Assets [ROA] at -77.26% (Q1 2026), -70.15% (Q4 2025) and -37.94% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 8.12% |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 23.22% |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 12.77% |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 16.67% |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 8.70% |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 2.92% |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 0.49% |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 6.33% |
| 10 | Digital Brands | 1.29 Mn | -13.86 Mn | 324,265.00 | -87.11% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -87.11% |
| Mar 31, 2026 | -77.26% |
| Dec 31, 2025 | -70.15% |
| Sep 30, 2025 | -37.94% |
| Jun 30, 2025 | -36.44% |
| Mar 31, 2025 | -45.25% |
| Dec 31, 2024 | -60.76% |
| Sep 30, 2024 | -47.49% |
| Jun 30, 2024 | -53.62% |
| Mar 31, 2024 | -19.11% |
| Dec 31, 2023 | -38.61% |
| Sep 30, 2023 | -80.70% |
| Jun 30, 2023 | -71.75% |
| Mar 31, 2023 | -108.71% |
| Dec 31, 2022 | -104.13% |
| Sep 30, 2022 | -90.87% |
| Jun 30, 2022 | -97.92% |
| Mar 31, 2022 | -98.40% |
| Dec 31, 2021 | -84.12% |
| Sep 30, 2021 | -59.68% |
API Access
Digital Brands Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();