Digital Brands (DBGI) Goodwill (2020 - 2026)
Digital Brands' (DBGI) quarterly Goodwill came in at $5.8 million in Q2 2026, down 35.49% on a YoY basis from $9.0 million in Q2 2025, and little changed quarter-over-quarter from $5.8 million in Q1 2026.
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Analysis
Digital Brands (DBGI) Goodwill (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Goodwill for 7 consecutive years, with $5.8 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Goodwill fell 35.49% year-over-year to $5.8 million; the trailing twelve-month figure through Jun 2026 stood at $5.8 million (down 35.49% YoY), and the FY2025 full-year result was $5.8 million, down 35.49% from the prior year.
- Goodwill steadied at $5.8 million in Q2 2026 per DBGI's latest filing, from $5.8 million in the prior quarter.
- Across five years, Goodwill topped out at $18.3 million in Q1 2022 and bottomed at $5.8 million in Q4 2025.
- Historically, Goodwill has averaged $10.1 million across 5 years, with a median of $9.0 million in 2022.
- The sharpest annual moves came in 2022 and 2023: Goodwill surged 181.9% in 2022, then slumped 50.87% in 2023.
- Over 5 years, Goodwill stood at $9.0 million in 2022, then changed by 0.0% to $9.0 million in 2023, then changed by 0.0% to $9.0 million in 2024, then tumbled by 35.49% to $5.8 million in 2025, then changed by 0.0% to $5.8 million in 2026.
- According to Business Quant data, Goodwill over the past three periods registered $5.8 million, $5.8 million, and $5.8 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 | 5.79 Mn |
| Mar 31, 2026 | 5.79 Mn |
| Dec 31, 2025 | 5.79 Mn |
| Sep 30, 2025 | 8.97 Mn |
| Jun 30, 2025 | 8.97 Mn |
| Mar 31, 2025 | 8.97 Mn |
| Dec 31, 2024 | 8.97 Mn |
| Sep 30, 2024 | 8.97 Mn |
| Jun 30, 2024 | 8.97 Mn |
| Mar 31, 2024 | 8.97 Mn |
| Dec 31, 2023 | 8.97 Mn |
| Sep 30, 2023 | 8.97 Mn |
| Jun 30, 2023 | 8.97 Mn |
| Mar 31, 2023 | 10.10 Mn |
| Dec 31, 2022 | 8.97 Mn |
| Sep 30, 2022 | 18.26 Mn |
| Jun 30, 2022 | 18.26 Mn |
| Mar 31, 2022 | 18.26 Mn |
| Dec 31, 2021 | 11.79 Mn |
| Sep 30, 2021 | 17.77 Mn |
API Access
Digital Brands Goodwill 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=goodwill&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();