Digital Brands (DBGI) EBT (2020 - 2026)
Digital Brands' (DBGI) quarterly EBT came in at -$7.6 million in Q2 2026, down 259.47% on a YoY basis from $4.8 million in Q2 2025, and down 0.67% quarter-over-quarter from -$7.5 million in Q1 2026.
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Digital Brands (DBGI) EBT (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported EBT for 7 consecutive years, with -$7.6 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBT fell 259.47% year-over-year to -$7.6 million; the trailing twelve-month figure through Jun 2026 stood at -$40.9 million (down 212.18% YoY), and the FY2025 full-year result was -$30.0 million, down 128.64% from the prior year.
- EBT declined to -$7.6 million in Q2 2026 per DBGI's latest filing, from -$7.5 million in the prior quarter.
- Across five years, EBT topped out at $6.5 million in Q2 2023 and bottomed at -$22.3 million in Q4 2025.
- Historically, EBT has averaged -$4.7 million across 5 years, with a median of -$3.5 million in 2024.
- The sharpest annual moves came in 2023 and 2025: EBT jumped 161.38% in 2023, then tumbled 315.08% in 2025.
- Over 5 years, EBT stood at -$2.7 million in 2022, then fell by 4.24% to -$2.8 million in 2023, then slumped by 94.23% to -$5.4 million in 2024, then sank by 315.08% to -$22.3 million in 2025, then surged by 66.02% to -$7.6 million in 2026.
- According to Business Quant data, EBT over the past three periods registered -$7.6 million, -$7.5 million, and -$22.3 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 467.35 Mn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 122.20 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 106.61 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | -106.89 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 72.95 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | -202.60 Mn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 36.29 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 5.25 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 36.88 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | -7.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.59 Mn |
| Mar 31, 2026 | -7.54 Mn |
| Dec 31, 2025 | -22.35 Mn |
| Sep 30, 2025 | -3.46 Mn |
| Jun 30, 2025 | -2.11 Mn |
| Mar 31, 2025 | -2.13 Mn |
| Dec 31, 2024 | -5.38 Mn |
| Sep 30, 2024 | -3.49 Mn |
| Jun 30, 2024 | -3.54 Mn |
| Mar 31, 2024 | -729,636.00 |
| Dec 31, 2023 | -2.77 Mn |
| Sep 30, 2023 | -5.38 Mn |
| Jun 30, 2023 | 6.53 Mn |
| Mar 31, 2023 | -3.69 Mn |
| Dec 31, 2022 | -2.66 Mn |
| Sep 30, 2022 | -2.44 Mn |
| Jun 30, 2022 | -10.65 Mn |
| Mar 31, 2022 | -5.58 Mn |
| Dec 31, 2021 | -10.24 Mn |
| Sep 30, 2021 | -7.91 Mn |
API Access
Digital Brands EBT 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=ebt&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();