Digital Brands (DBGI) Revenue (2020 - 2026)
Digital Brands' (DBGI) quarterly Revenue came in at $1.2 million in Q2 2026, down 46.34% on a YoY basis from $2.3 million in Q2 2025, and down 8.19% quarter-over-quarter from $1.3 million in Q1 2026.
Powered by 
Analysis
Digital Brands (DBGI) Revenue (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Revenue for 7 consecutive years, with $1.2 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Revenue fell 46.34% year-over-year to $1.2 million; the trailing twelve-month figure through Jun 2026 stood at $5.8 million (down 33.59% YoY), and the FY2025 full-year result was $7.4 million, down 36.13% from the prior year.
- Revenue retreated to $1.2 million in Q2 2026 per DBGI's latest filing, from $1.3 million in the prior quarter.
- Across five years, Revenue topped out at $4.5 million in Q2 2023 and bottomed at $1.2 million in Q2 2026.
- Historically, Revenue has averaged $2.6 million across 5 years, with a median of $2.5 million in 2022.
- The sharpest annual moves came in 2022 and 2025: Revenue jumped 740.44% in 2022, then plunged 47.67% in 2025.
- Over 5 years, Revenue stood at $2.4 million in 2022, then increased by 16.41% to $2.8 million in 2023, then dropped by 23.2% to $2.1 million in 2024, then dropped by 25.12% to $1.6 million in 2025, then slipped by 24.68% to $1.2 million in 2026.
- According to Business Quant data, Revenue over the past three periods registered $1.2 million, $1.3 million, and $1.6 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 2.42 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 1.56 Bn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 1.58 Bn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 1.67 Bn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 584.29 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 2.10 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 614.36 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 235.51 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 196.62 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 | 1.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Mn |
| Mar 31, 2026 | 1.32 Mn |
| Dec 31, 2025 | 1.60 Mn |
| Sep 30, 2025 | 1.65 Mn |
| Jun 30, 2025 | 2.25 Mn |
| Mar 31, 2025 | 1.87 Mn |
| Dec 31, 2024 | 2.14 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 3.40 Mn |
| Mar 31, 2024 | 3.58 Mn |
| Dec 31, 2023 | 2.79 Mn |
| Sep 30, 2023 | 3.26 Mn |
| Jun 30, 2023 | 4.49 Mn |
| Mar 31, 2023 | 4.44 Mn |
| Dec 31, 2022 | 2.40 Mn |
| Sep 30, 2022 | 2.66 Mn |
| Jun 30, 2022 | 2.65 Mn |
| Mar 31, 2022 | 3.43 Mn |
| Dec 31, 2021 | 4.01 Mn |
| Sep 30, 2021 | 2.16 Mn |
API Access
Digital Brands Revenue 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=revenue&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();