Digital Brands (DBGI) Net Margin (2020 - 2026)
Digital Brands (DBGI) reported Net Margin of -743.56% for Q2 2026, down 649.49 percentage points from -94.07% a year earlier but up 122.11 percentage points from the prior quarter.
Powered by 
Analysis
Digital Brands (DBGI) Net Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Digital Brands' Net Margin came in at -768.25%, down 617.55 percentage points year-over-year; for FY2025, it came in at -411.29%, down 297.87 percentage points from FY2024.
- Net Margin has a five-year change of -206.53 percentage points (FY2020 to FY2025).
- By year, Net Margin came in at -113.42% in FY2024 (-44.72 pp), -68.70% in FY2023 (+299.46 pp), -368.15% in FY2022 (+58.46 pp) and -426.61% in FY2021 (-221.85 pp).
- Five-year quarterly Net Margin spans a low of -1283.79% in Q4 2025 and a high of 112.26% in Q2 2023.
- Year over year, Net Margin has now declined in each of the last four quarters, with an average year-over-year change of -334.88 percentage points over the last eight quarters.
- The high point for year-over-year Net Margin in five years was Q2 2022 (a gain of 706.14 percentage points); the low point was Q4 2025 (a drop of 1033.06 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -865.67% (Q1 2026), -1283.79% (Q4 2025) and -208.73% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 6.35% |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 18.53% |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 13.38% |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 13.63% |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 10.47% |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -5.82% |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | -3.16% |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 15.23% |
| 10 | Digital Brands | 1.41 Mn | -13.73 Mn | 324,265.00 | -743.56% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -743.56% |
| Mar 31, 2026 | -865.67% |
| Dec 31, 2025 | -1,283.79% |
| Sep 30, 2025 | -208.73% |
| Jun 30, 2025 | -94.07% |
| Mar 31, 2025 | -111.66% |
| Dec 31, 2024 | -250.73% |
| Sep 30, 2024 | -145.09% |
| Jun 30, 2024 | -103.37% |
| Mar 31, 2024 | -19.12% |
| Dec 31, 2023 | -133.33% |
| Sep 30, 2023 | -166.88% |
| Jun 30, 2023 | 112.26% |
| Mar 31, 2023 | -138.22% |
| Dec 31, 2022 | -658.64% |
| Sep 30, 2022 | -184.08% |
| Jun 30, 2022 | -359.85% |
| Mar 31, 2022 | -228.21% |
| Dec 31, 2021 | -241.88% |
| Sep 30, 2021 | -413.17% |
API Access
Digital Brands Net 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=net-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();