Digital Brands (DBGI) Intangibles (2020 - 2026)
Digital Brands' (DBGI) quarterly Intangibles came in at $16.0 million in Q2 2026, little changed on a YoY basis from $16.1 million in Q2 2025, and up 22.14% quarter-over-quarter from $13.1 million in Q1 2026.
Digital Brands (DBGI) Intangibles (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Intangibles for 7 consecutive years, with $16.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Intangibles changed 0.32% year-over-year to $16.0 million; the trailing twelve-month figure through Jun 2026 stood at $16.0 million (changed 0.32% YoY), and the FY2025 full-year result was $16.0 million, up 10.78% from the prior year.
- Intangibles rose to $16.0 million in Q2 2026 per DBGI's latest filing, from $13.1 million in the prior quarter.
- Across five years, Intangibles topped out at $18.0 million in Q1 2023 and bottomed at $9.3 million in Q1 2024.
- Historically, Intangibles has averaged $14.7 million across 5 years, with a median of $14.5 million in 2023.
- The sharpest annual moves came in 2022 and 2024: Intangibles jumped 66.17% in 2022, then tumbled 48.62% in 2024.
- Over 5 years, Intangibles stood at $15.6 million in 2022, then fell by 7.06% to $14.5 million in 2023, then changed by 0.0% to $14.5 million in 2024, then rose by 10.78% to $16.0 million in 2025, then changed by 0.0% to $16.0 million in 2026.
- According to Business Quant data, Intangibles over the past three periods registered $16.0 million, $13.1 million, and $16.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | 2.53 Mn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 192.80 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 2.99 Bn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | 1.46 Bn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | 447.73 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 2.66 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 71.22 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 | 16.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.04 Mn |
| Mar 31, 2026 | 13.13 Mn |
| Dec 31, 2025 | 16.04 Mn |
| Sep 30, 2025 | 16.09 Mn |
| Jun 30, 2025 | 16.09 Mn |
| Mar 31, 2025 | 13.09 Mn |
| Dec 31, 2024 | 14.48 Mn |
| Sep 30, 2024 | 13.88 Mn |
| Jun 30, 2024 | 14.48 Mn |
| Mar 31, 2024 | 9.26 Mn |
| Dec 31, 2023 | 14.48 Mn |
| Sep 30, 2023 | 15.58 Mn |
| Jun 30, 2023 | 15.58 Mn |
| Mar 31, 2023 | 18.03 Mn |
| Dec 31, 2022 | 15.58 Mn |
| Sep 30, 2022 | 14.29 Mn |
| Jun 30, 2022 | 14.29 Mn |
| Mar 31, 2022 | 14.29 Mn |
| Dec 31, 2021 | 14.29 Mn |
| Sep 30, 2021 | 17.69 Mn |
Digital Brands Intangibles 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=intangibles&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();