Digital Brands (DBGI) EBITDA Margin (2020 - 2026)
Digital Brands' EBITDA Margin came in at -606.33% for Q2 2026, down 536.73 percentage points from -69.60% a year earlier and down 53.62 percentage points from the prior quarter.
Digital Brands (DBGI) EBITDA Margin (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Digital Brands reported EBITDA Margin of -672.68%, down 560.66 percentage points year-over-year; for FY2025, it was -371.78%, down 305.19 percentage points from FY2024.
- EBITDA Margin carries a five-year change of -208.71 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -66.59% in FY2024 (-74.33 pp), 7.74% in FY2023 (+197.10 pp), -189.36% in FY2022 (+207.85 pp) and -397.21% in FY2021 (-234.14 pp).
- The five-year range for quarterly EBITDA Margin is -1333.15% (Q4 2025) to 187.55% (Q2 2023).
- Year-over-year, EBITDA Margin has declined for nine consecutive quarters, with an average year-over-year change of -310.06 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2022 (a gain of 680.72 percentage points), and the weakest in Q4 2025 (a drop of 1123.94 percentage points).
- Business Quant data shows DBGI's EBITDA Margin at -552.70% (Q1 2026), -1333.15% (Q4 2025) and -176.02% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 9.64% |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 26.69% |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 20.48% |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 24.67% |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 17.21% |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -1.51% |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 15.43% |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 39.01% |
| 10 | Digital Brands | 1.41 Mn | -13.73 Mn | 324,265.00 | -606.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -606.33% |
| Mar 31, 2026 | -552.70% |
| Dec 31, 2025 | -1,334.19% |
| Sep 30, 2025 | -175.19% |
| Jun 30, 2025 | -68.99% |
| Mar 31, 2025 | -83.73% |
| Dec 31, 2024 | -199.46% |
| Sep 30, 2024 | -60.96% |
| Jun 30, 2024 | -19.60% |
| Mar 31, 2024 | 32.46% |
| Dec 31, 2023 | -0.97% |
| Sep 30, 2023 | -72.38% |
| Jun 30, 2023 | 191.98% |
| Mar 31, 2023 | -29.66% |
| Dec 31, 2022 | -32.50% |
| Sep 30, 2022 | -3.39% |
| Jun 30, 2022 | -315.54% |
| Mar 31, 2022 | -114.67% |
| Dec 31, 2021 | -223.89% |
| Sep 30, 2021 | -344.36% |
Digital Brands EBITDA 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=ebitda-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();