Digital Brands (DBGI) Net Margin (2020 - 2026)
Digital Brands' (DBGI) quarterly Net Margin came in at 628.53% in Q2 2026, down 53470.0% on a YoY basis from N/an in Q2 2025, and down 9.66% quarter-over-quarter from 573.18% in Q1 2026.
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Digital Brands (DBGI) Net Margin (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Net Margin for 7 consecutive years, with 628.53% the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Net Margin fell 53470.0% year-over-year to 628.53%; the trailing twelve-month figure through Jun 2026 stood at 708.08% (down 55744.0% YoY), and the FY2025 full-year result was 411.29%, down 29787.0% from the prior year.
- Net Margin slipped to 628.53% in Q2 2026 per DBGI's latest filing, from 573.18% in the prior quarter.
- Across five years, Net Margin topped out at 112.21% in Q2 2023 and bottomed at 1393.12% in Q4 2025.
- Historically, Net Margin has averaged 276.74% across 5 years, with a median of 152.73% in 2024.
- The sharpest annual moves came in 2022 and 2025: Net Margin jumped 56700 bps in 2022, then plunged 114181 bps in 2025.
- Over 5 years, Net Margin stood at 553.44% in 2022, then jumped by 82 bps to 99.37% in 2023, then slumped by 153 bps to 251.32% in 2024, then sank by 454 bps to 1393.12% in 2025, then jumped by 55 bps to 628.53% in 2026.
- According to Business Quant data, Net Margin over the past three periods registered 628.53%, 573.18%, and 1393.12% for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 13.63% |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 5.59% |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 5.71% |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | -5.82% |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 10.65% |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | -4.91% |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 4.32% |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 1.97% |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 14.43% |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | -628.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -628.53% |
| Mar 31, 2026 | -573.18% |
| Dec 31, 2025 | -1,393.12% |
| Sep 30, 2025 | -209.08% |
| Jun 30, 2025 | -93.83% |
| Mar 31, 2025 | -113.88% |
| Dec 31, 2024 | -251.32% |
| Sep 30, 2024 | -142.85% |
| Jun 30, 2024 | -104.29% |
| Mar 31, 2024 | -20.40% |
| Dec 31, 2023 | -99.37% |
| Sep 30, 2023 | -165.11% |
| Jun 30, 2023 | 112.21% |
| Mar 31, 2023 | -80.93% |
| Dec 31, 2022 | -553.44% |
| Sep 30, 2022 | -97.76% |
| Jun 30, 2022 | -403.75% |
| Mar 31, 2022 | -162.61% |
| Dec 31, 2021 | -310.37% |
| Sep 30, 2021 | -365.78% |
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();