Digital Brands (DBGI) EBIT Margin (2020 - 2026)
Digital Brands' (DBGI) quarterly EBIT Margin came in at 618.56% in Q2 2026, down 53038.0% on a YoY basis from N/an in Q2 2025, and down 9.72% quarter-over-quarter from 563.77% in Q1 2026.
Digital Brands (DBGI) EBIT Margin (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported EBIT Margin for 7 consecutive years, with 618.56% the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBIT Margin fell 53038.0% year-over-year to 618.56%; the trailing twelve-month figure through Jun 2026 stood at 699.49% (down 56561.0% YoY), and the FY2025 full-year result was 400.14%, down 31186.0% from the prior year.
- EBIT Margin declined to 618.56% in Q2 2026 per DBGI's latest filing, from 563.77% in the prior quarter.
- Across five years, EBIT Margin topped out at 169.6% in Q2 2023 and bottomed at 1385.4% in Q4 2025.
- Historically, EBIT Margin has averaged 236.97% across 5 years, with a median of 108.82% in 2025.
- The sharpest annual moves came in 2022 and 2025: EBIT Margin jumped 67857 bps in 2022, then sank 115528 bps in 2025.
- Over 5 years, EBIT Margin stood at 110.97% in 2022, then advanced by 10 bps to 99.37% in 2023, then tumbled by 132 bps to 230.13% in 2024, then slumped by 502 bps to 1385.4% in 2025, then surged by 55 bps to 618.56% in 2026.
- According to Business Quant data, EBIT Margin over the past three periods registered 618.56%, 563.77%, and 1385.4% for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 18.78% |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 7.82% |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 11.12% |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | -4.98% |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 15.49% |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | -9.10% |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 5.03% |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 1.34% |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 17.93% |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | -618.56% |
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% |
Digital Brands EBIT 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=ebit-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();