Digital Brands (DBGI) Revenue (2020 - 2026)
Digital Brands (DBGI) recorded Revenue of $1.21 million in Q2 2026, down 46.3% from $2.25 million a year earlier and down 8.2% from the prior quarter.
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Analysis
Digital Brands (DBGI) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Digital Brands' Revenue came in at $5.78 million as of Jun 30, 2026, down 33.6% year-over-year; for FY2025, it came in at $7.38 million, down 36.1% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $11.56 million in FY2024 (-22.5%), $14.92 million in FY2023 (+44.3%), $10.33 million in FY2022 (+36.2%) and $7.58 million in FY2021 (+44.8%).
- The Q2 2026 figure is the lowest quarterly Revenue since Q2 2021.
- On a year-over-year basis, Revenue has declined for ten consecutive quarters, with an average decline of 32.9% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 740.4% in Q1 2022, against a decline of 47.7% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.32 million (Q1 2026), $1.6 million (Q4 2025) and $1.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.39 Bn | 4.80 Bn | 11.21 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 1.88 Bn |
| 3 | Ralph Lauren | 22.49 Bn | 14.58 Bn | 1.44 Bn | 1.96 Bn |
| 4 | Deckers Outdoor | 12.64 Bn | 5.51 Bn | - | - |
| 5 | Lululemon Athletica | 11.16 Bn | 5.42 Bn | 1.46 Bn | 2.42 Bn |
| 6 | Levi Strauss | 7.98 Bn | 4.57 Bn | 1.07 Bn | 1.61 Bn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | 1.67 Bn |
| 8 | Gildan Activewear | 6.56 Bn | 5.48 Bn | 459.76 Mn | 1.58 Bn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | 836.35 Mn |
| 10 | Digital Brands | 1.31 Mn | -13.84 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();