Digital Brands (DBGI) Return on Sales [ROS] (2020 - 2026)
Digital Brands (DBGI) recorded Return on Sales [ROS] of -618.56% in Q2 2026, down 530.38 percentage points from -88.18% a year earlier and down 54.79 percentage points from the prior quarter.
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Analysis
Digital Brands (DBGI) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a TTM basis, Digital Brands' Return on Sales [ROS] came in at -699.49% as of Jun 30, 2026, down 565.61 percentage points year-over-year; for FY2025, it was -400.14%, down 311.86 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -225.54 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -88.28% in FY2024 (-74.23 pp), -14.05% in FY2023 (+191.32 pp), -205.36% in FY2022 (+207.94 pp) and -413.31% in FY2021 (-238.71 pp).
- Quarterly Return on Sales [ROS] has ranged from -1385.40% in Q4 2025 to 169.60% in Q2 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for nine consecutive quarters, with an average year-over-year change of -311.32 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 678.57 percentage points in Q2 2022, against a drop of 1155.28 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -563.77% (Q1 2026), -1385.40% (Q4 2025) and -201.31% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.89 Bn | 23.09 Bn | 4.80 Bn | 7.92% |
| 2 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 17.47% |
| 3 | Tapestry | 22.81 Bn | 18.77 Bn | 1.56 Bn | 23.57% |
| 4 | Deckers Outdoor | 12.13 Bn | 5.00 Bn | - | - |
| 5 | Lululemon Athletica | 11.09 Bn | 5.34 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 8.25 Bn | 4.84 Bn | 1.07 Bn | 13.81% |
| 7 | Gildan Activewear | 7.59 Bn | 6.51 Bn | 459.76 Mn | 11.12% |
| 8 | V F | 6.87 Bn | 3.49 Bn | 917.04 Mn | -4.98% |
| 9 | Birkenstock Holding | 6.20 Bn | 4.52 Bn | 493.89 Mn | 28.22% |
| 10 | Digital Brands | 711,794.17 | -14.43 Mn | 324,265.00 | -618.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -618.56% |
| Mar 31, 2026 | -563.77% |
| Dec 31, 2025 | -1,385.40% |
| Sep 30, 2025 | -201.31% |
| Jun 30, 2025 | -88.18% |
| Mar 31, 2025 | -106.67% |
| Dec 31, 2024 | -230.13% |
| Sep 30, 2024 | -112.43% |
| Jun 30, 2024 | -67.79% |
| Mar 31, 2024 | -6.28% |
| Dec 31, 2023 | -99.37% |
| Sep 30, 2023 | -105.06% |
| Jun 30, 2023 | 169.60% |
| Mar 31, 2023 | -83.08% |
| Dec 31, 2022 | -110.97% |
| Sep 30, 2022 | -91.72% |
| Jun 30, 2022 | -401.81% |
| Mar 31, 2022 | -162.61% |
| Dec 31, 2021 | -255.50% |
| Sep 30, 2021 | -365.78% |
API Access
Digital Brands Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();