Digital Brands (DBGI) Enterprise Value (2021 - 2026)
Digital Brands' (DBGI) quarterly Enterprise Value came in at -$975516.5 in Q2 2026, down 2385.63% on a YoY basis from $42680.4 in Q2 2025, and up 78.97% quarter-over-quarter from -$4.6 million in Q1 2026.
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Digital Brands (DBGI) Enterprise Value (2021 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Enterprise Value for 6 consecutive years, with -$975516.5 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Enterprise Value fell 2385.63% year-over-year to -$975516.5; the trailing twelve-month figure through Jun 2026 stood at -$975516.5 (down 2385.63% YoY), and the FY2025 full-year result was -$3.3 million, down 1975.33% from the prior year.
- Enterprise Value advanced to -$975516.5 in Q2 2026 per DBGI's latest filing, from -$4.6 million in the prior quarter.
- Across five years, Enterprise Value topped out at $126.5 million in Q1 2022 and bottomed at -$11.8 million in Q3 2025.
- Historically, Enterprise Value has averaged $8.6 million across 5 years, with a median of $2.3 million in 2022.
- The sharpest annual moves came in 2024 and 2026: Enterprise Value gained 12.84% in 2024, then sank 2385.63% in 2026.
- Over 5 years, Enterprise Value stood at $2.8 million in 2022, then slumped by 38.6% to $1.7 million in 2023, then sank by 109.15% to -$156828.6 in 2024, then slumped by 1975.33% to -$3.3 million in 2025, then soared by 70.03% to -$975516.5 in 2026.
- According to Business Quant data, Enterprise Value over the past three periods registered -$975516.5, -$4.6 million, and -$3.3 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Digital Brands | 2.45 Mn | 1.06 Mn | 324,265.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -975,516.50 |
| Mar 31, 2026 | -4.64 Mn |
| Dec 31, 2025 | -3.25 Mn |
| Sep 30, 2025 | -11.81 Mn |
| Jun 30, 2025 | 42,680.39 |
| Mar 31, 2025 | -1.76 Mn |
| Dec 31, 2024 | -156,828.62 |
| Sep 30, 2024 | 622,826.76 |
| Jun 30, 2024 | 2.99 Mn |
| Mar 31, 2024 | 8.90 Mn |
| Dec 31, 2023 | 1.71 Mn |
| Sep 30, 2023 | 2.87 Mn |
| Jun 30, 2023 | 4.74 Mn |
| Mar 31, 2023 | 7.89 Mn |
| Dec 31, 2022 | 2.79 Mn |
| Sep 30, 2022 | 6.02 Mn |
| Jun 30, 2022 | 12.24 Mn |
| Mar 31, 2022 | 126.50 Mn |
| Dec 31, 2021 | 153.28 Mn |
| Sep 30, 2021 | 44.59 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();