Digital Brands (DBGI) Gross Margin (2020 - 2026)
Digital Brands' (DBGI) quarterly Gross Margin came in at 26.84% in Q2 2026, down 477.0% on a YoY basis from 7.12% in Q2 2025, and up 678.3% quarter-over-quarter from 3.45% in Q1 2026.
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Digital Brands (DBGI) Gross Margin (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Gross Margin for 7 consecutive years, with 26.84% the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Gross Margin fell 477.0% year-over-year to 26.84%; the trailing twelve-month figure through Jun 2026 stood at 2.76% (down 2515.0% YoY), and the FY2025 full-year result was 14.29%, down 1725.0% from the prior year.
- Gross Margin improved to 26.84% in Q2 2026 per DBGI's latest filing, from 3.45% in the prior quarter.
- Across five years, Gross Margin topped out at 52.29% in Q3 2023 and bottomed at 77.05% in Q4 2025.
- Historically, Gross Margin has averaged 27.45% across 5 years, with a median of 39.02% in 2022.
- The sharpest annual moves came in 2022 and 2024: Gross Margin surged 8404 bps in 2022, then tumbled 5366 bps in 2024.
- Over 5 years, Gross Margin stood at 35.88% in 2022, then tumbled by 49 bps to 18.33% in 2023, then tumbled by 293 bps to 35.33% in 2024, then slumped by 118 bps to 77.05% in 2025, then surged by 135 bps to 26.84% in 2026.
- According to Business Quant data, Gross Margin over the past three periods registered 26.84%, 3.45%, and 77.05% for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 60.52% |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 62.68% |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 29.05% |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 54.93% |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 56.18% |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 63.03% |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 58.34% |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 57.94% |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 75.20% |
| 10 | Digital Brands | 2.45 Mn | 1.06 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();