Digital Brands (DBGI) Price to Book (2021 - 2026)
Digital Brands' (DBGI) quarterly Price to Book came in at 0.76 in Q2 2026, up 823.29% on a YoY basis from 0.08 in Q2 2025, and up 464.96% quarter-over-quarter from 0.13 in Q1 2026.
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Analysis
Digital Brands (DBGI) Price to Book (2021 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Price to Book for 6 consecutive years, with 0.76 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book rose 823.29% year-over-year to 0.76; the trailing twelve-month figure through Jun 2026 stood at 0.76 (up 823.29% YoY), and the FY2025 full-year result was 0.5, up 6637232.54% from the prior year.
- Price to Book climbed to 0.76 in Q2 2026 per DBGI's latest filing, from 0.13 in the prior quarter.
- Across five years, Price to Book topped out at 47.89 in Q3 2024 and bottomed at 9.36 in Q1 2022.
- Historically, Price to Book has averaged 2.45 across 5 years, with a median of 0.11 in 2026.
- The sharpest annual moves came in 2022 and 2025: Price to Book tumbled 101.62% in 2022, then surged 8917.97% in 2025.
- Over 5 years, Price to Book stood at 0.55 in 2022, then soared by 298.37% to 1.08 in 2023, then plunged by 100.53% to 0.01 in 2024, then soared by 8917.97% to 0.5 in 2025, then soared by 50.7% to 0.76 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 0.76, 0.13, and 0.5 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 | 0.76 |
| Mar 31, 2026 | 0.13 |
| Dec 31, 2025 | 0.50 |
| Sep 30, 2025 | 0.04 |
| Jun 30, 2025 | 0.08 |
| Mar 31, 2025 | 0.08 |
| Dec 31, 2024 | -0.01 |
| Sep 30, 2024 | 47.89 |
| Jun 30, 2024 | 1.13 |
| Mar 31, 2024 | 2.99 |
| Dec 31, 2023 | 1.08 |
| Sep 30, 2023 | 0.75 |
| Jun 30, 2023 | 1.15 |
| Mar 31, 2023 | -1.25 |
| Dec 31, 2022 | -0.55 |
| Sep 30, 2022 | -0.50 |
| Jun 30, 2022 | -0.88 |
| Mar 31, 2022 | -9.36 |
| Dec 31, 2021 | -21.69 |
| Sep 30, 2021 | 30.65 |
API Access
Digital Brands Price to Book 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=price-to-book&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();