Digital Brands (DBGI) Price to Book (2021 - 2026)
Digital Brands' (DBGI) Price to Book came in at 30.54 for Q2 2026, up 827.0% from 3.29 a year earlier and up 467.2% from the prior quarter.
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Analysis
Digital Brands (DBGI) Price to Book (2021 - 2026) Analysis & Trends
For FY2025, Digital Brands' Price to Book stood at 20.18.
- In prior years, Digital Brands' Price to Book was 0.87 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Price to Book since Q3 2024.
- On a year-over-year basis, Price to Book increased in four of the last five quarters, with growth averaging 219.6%.
- According to Business Quant data, Price to Book for the three prior quarters was 5.38 (Q1 2026), 20.18 (Q4 2025) and 1.50 (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 | 30.54 |
| Mar 31, 2026 | 5.38 |
| Dec 31, 2025 | 20.18 |
| Sep 30, 2025 | 1.50 |
| Jun 30, 2025 | 3.29 |
| Mar 31, 2025 | 3.13 |
| Sep 30, 2024 | 38.32 |
| Jun 30, 2024 | 0.90 |
| Mar 31, 2024 | 2.39 |
| Dec 31, 2023 | 0.87 |
| Sep 30, 2023 | 0.60 |
| Jun 30, 2023 | 0.91 |
| Sep 30, 2021 | 20.78 |
| Jun 30, 2021 | 749.77 |
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();