Digital Brands (DBGI) Gross Margin (2020 - 2026)
Digital Brands (DBGI) posted Gross Margin of 26.84% for Q2 2026, down 4.77 percentage points from 31.61% a year earlier but up 23.39 percentage points from the prior quarter.
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Analysis
Digital Brands (DBGI) Gross Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Digital Brands was -2.76%, down 25.15 percentage points year-over-year; for FY2025, it came in at 14.29%, down 17.25 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +3.72 percentage points (FY2020 to FY2025).
- In prior years, Digital Brands' Gross Margin was 31.54% in FY2024 (-12.33 pp), 43.87% in FY2023 (+9.57 pp), 34.30% in FY2022 (+9.67 pp) and 24.63% in FY2021 (+14.06 pp).
- Quarterly Gross Margin has run from a low of -77.05% in Q4 2025 to a high of 55.89% in Q3 2021 over five years.
- On a year-over-year basis, Gross Margin has declined in each of the last nine quarters, with an average year-over-year change of -21.08 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q3 2021, with a gain of 95.97 percentage points; the weakest was Q4 2024, with a drop of 53.66 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 3.45% (Q1 2026), -77.05% (Q4 2025) and 42.73% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 42.79% |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 83.32% |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 73.69% |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 60.52% |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 66.21% |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 54.93% |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 29.05% |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 59.05% |
| 10 | Digital Brands | 1.41 Mn | -13.73 Mn | 324,265.00 | 26.84% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.84% |
| Mar 31, 2026 | 3.45% |
| Dec 31, 2025 | -77.05% |
| Sep 30, 2025 | 42.73% |
| Jun 30, 2025 | 31.61% |
| Mar 31, 2025 | 46.61% |
| Dec 31, 2024 | -35.33% |
| Sep 30, 2024 | 45.95% |
| Jun 30, 2024 | 45.90% |
| Mar 31, 2024 | 48.11% |
| Dec 31, 2023 | 18.33% |
| Sep 30, 2023 | 52.29% |
| Jun 30, 2023 | 51.99% |
| Mar 31, 2023 | 45.49% |
| Dec 31, 2022 | 35.88% |
| Sep 30, 2022 | 36.04% |
| Jun 30, 2022 | 42.00% |
| Mar 31, 2022 | 33.22% |
| Dec 31, 2021 | 11.77% |
| Sep 30, 2021 | 55.89% |
API Access
Digital Brands Gross Margin 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=gross-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();