Digital Brands (DBGI) Operating Margin (2020 - 2026)
Digital Brands' Operating Margin was -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) Operating Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Digital Brands' Operating Margin was -699.49% through Jun 30, 2026, down 565.61 percentage points year-over-year; for FY2025, it came in at -400.14%, down 311.86 percentage points from FY2024.
- Operating Margin shows a five-year change of -225.54 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -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 Operating Margin has moved between -1385.40% (Q4 2025) and 169.60% (Q2 2023) over five years.
- Compared with a year earlier, Operating Margin has declined for nine straight quarters, with an average year-over-year change of -311.32 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q2 2022 (a gain of 678.57 percentage points); the worst was Q4 2025 (a drop of 1155.28 percentage points).
- Per Business Quant data, DBGI's Operating Margin in the three quarters before Q2 2026 was -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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.67 Bn | 21.88 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.58 Bn | 19.54 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 22.85 Bn | 14.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 12.27 Bn | 5.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.94 Bn | 5.19 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 8.10 Bn | 4.68 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 6.74 Bn | 3.36 Bn | 917.04 Mn | -4.98% |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 11.12% |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 28.22% |
| 10 | Digital Brands | 1.22 Mn | -13.92 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 Operating 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=operating-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();