Digital Brands (DBGI) Return on Capital Employed [ROCE] (2021 - 2026)
Digital Brands (DBGI) posted Return on Capital Employed [ROCE] of -250.47% for Q2 2026, down 180.98 percentage points from -69.49% a year earlier and down 67.12 percentage points from the prior quarter.
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Analysis
Digital Brands (DBGI) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Digital Brands' Return on Capital Employed [ROCE] came in at -482.33%, up 86.50 percentage points from FY2024.
- In prior years, Digital Brands' Return on Capital Employed [ROCE] was -568.83% in FY2024 (-535.68 pp) and -33.15% in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in three of the last eight quarters, with an average year-over-year change of -51.07 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2025, with a gain of 1145.56 percentage points; the weakest was Q4 2024, with a drop of 1253.52 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -183.35% (Q1 2026), -176.05% (Q4 2025) and -126.19% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.41 Bn | 21.61 Bn | 4.80 Bn | 14.08% |
| 2 | Ralph Lauren | 22.71 Bn | 14.81 Bn | 1.44 Bn | 21.43% |
| 3 | Tapestry | 22.52 Bn | 18.48 Bn | 1.56 Bn | 38.80% |
| 4 | Deckers Outdoor | 11.67 Bn | 4.54 Bn | - | - |
| 5 | Lululemon Athletica | 11.17 Bn | 5.42 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 8.19 Bn | 4.77 Bn | 1.07 Bn | 15.75% |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | 9.02% |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn | 4.81% |
| 9 | Birkenstock Holding | 6.08 Bn | 4.40 Bn | 493.89 Mn | 11.39% |
| 10 | Digital Brands | 756,901.09 | -14.39 Mn | 324,265.00 | -250.47% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -250.47% |
| Mar 31, 2026 | -183.35% |
| Dec 31, 2025 | -176.05% |
| Sep 30, 2025 | -126.19% |
| Jun 30, 2025 | -69.49% |
| Mar 31, 2025 | -95.76% |
| Dec 31, 2024 | -1,321.61% |
| Sep 30, 2024 | -479.96% |
| Jun 30, 2024 | -250.93% |
| Mar 31, 2024 | 32.14% |
| Dec 31, 2023 | -68.09% |
| Sep 30, 2023 | -40.65% |
| Jun 30, 2023 | -15.15% |
| Dec 31, 2021 | -888.70% |
| Sep 30, 2021 | -171.05% |
| Jun 30, 2021 | -541.53% |
| Mar 31, 2021 | -1,190.99% |
API Access
Digital Brands Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();