Digital Brands (DBGI) Enterprise Value (2021 - 2026)
Digital Brands (DBGI) reported Enterprise Value of $15.11 million for Q2 2026, down 33.9% from $22.87 million a year earlier but up 6.8% from the prior quarter.
Powered by 
Analysis
Digital Brands (DBGI) Enterprise Value (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Digital Brands' Enterprise Value came in at $1.35 million, down 93.3% year-over-year; for FY2025, it was $175.04 million.
- Enterprise Value has a four-year compound annual growth rate of 67.1% (FY2021 to FY2025).
- By year, Enterprise Value came in at $140,348 in FY2024 (-89.7%), $1.37 million in FY2023 (-27.7%), $1.89 million in FY2022 (-91.6%) and $22.47 million in FY2021.
- Five-year quarterly Enterprise Value spans a low of $140,348 in Q4 2024 and a high of $175.04 million in Q4 2025.
- Year over year, Enterprise Value gained in two of the last six quarters, with growth averaging 130.8%.
- The high point for year-over-year Enterprise Value in five years was Q2 2025 (growth of 863.2%); the low point was Q2 2022 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.15 million (Q1 2026), $175.04 million (Q4 2025) and $17.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn |
| 10 | Digital Brands | 1.29 Mn | -13.86 Mn | 324,265.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.11 Mn |
| Mar 31, 2026 | 14.15 Mn |
| Dec 31, 2025 | 175.04 Mn |
| Sep 30, 2025 | 17.33 Mn |
| Jun 30, 2025 | 22.87 Mn |
| Mar 31, 2025 | 17.26 Mn |
| Dec 31, 2024 | 140,347.56 |
| Sep 30, 2024 | 440,446.00 |
| Jun 30, 2024 | 2.37 Mn |
| Mar 31, 2024 | 7.12 Mn |
| Dec 31, 2023 | 1.37 Mn |
| Sep 30, 2023 | 2.09 Mn |
| Jun 30, 2023 | 3.71 Mn |
| Mar 31, 2023 | 5.88 Mn |
| Dec 31, 2022 | 1.89 Mn |
| Sep 30, 2022 | 4.97 Mn |
| Jun 30, 2022 | 6.02 Mn |
| Mar 31, 2022 | 27.93 Mn |
| Dec 31, 2021 | 22.47 Mn |
| Sep 30, 2021 | 30.15 Mn |
API Access
Digital Brands Enterprise Value 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=enterprise-value&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();