Digital Brands (DBGI) Prepaid Assets (2020 - 2026)
Digital Brands' (DBGI) quarterly Prepaid Assets came in at $10.7 million in Q2 2026, up 109.43% on a YoY basis from $5.1 million in Q2 2025, and up 4.25% quarter-over-quarter from $10.3 million in Q1 2026.
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Digital Brands (DBGI) Prepaid Assets (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Prepaid Assets for 7 consecutive years, with $10.7 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Prepaid Assets rose 109.43% year-over-year to $10.7 million; the trailing twelve-month figure through Jun 2026 stood at $10.7 million (up 109.43% YoY), and the FY2025 full-year result was $9.4 million, up 2302.18% from the prior year.
- Prepaid Assets advanced to $10.7 million in Q2 2026 per DBGI's latest filing, from $10.3 million in the prior quarter.
- Across five years, Prepaid Assets topped out at $10.7 million in Q2 2026 and bottomed at $337811.0 in Q4 2023.
- Historically, Prepaid Assets has averaged $3.2 million across 5 years, with a median of $906238.0 in 2022.
- The sharpest annual moves came in 2024 and 2025: Prepaid Assets tumbled 63.31% in 2024, then jumped 2302.18% in 2025.
- Over 5 years, Prepaid Assets stood at $766901.0 in 2022, then tumbled by 55.95% to $337811.0 in 2023, then advanced by 15.5% to $390186.0 in 2024, then surged by 2302.18% to $9.4 million in 2025, then advanced by 14.26% to $10.7 million in 2026.
- According to Business Quant data, Prepaid Assets over the past three periods registered $10.7 million, $10.3 million, and $9.4 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 | 10.71 Mn |
| Mar 31, 2026 | 10.27 Mn |
| Dec 31, 2025 | 9.37 Mn |
| Sep 30, 2025 | 7.26 Mn |
| Jun 30, 2025 | 5.11 Mn |
| Mar 31, 2025 | 5.61 Mn |
| Dec 31, 2024 | 390,186.00 |
| Sep 30, 2024 | 438,269.00 |
| Jun 30, 2024 | 742,764.00 |
| Mar 31, 2024 | 759,437.00 |
| Dec 31, 2023 | 337,811.00 |
| Sep 30, 2023 | 1.19 Mn |
| Jun 30, 2023 | 872,142.00 |
| Mar 31, 2023 | 1.07 Mn |
| Dec 31, 2022 | 766,901.00 |
| Sep 30, 2022 | 940,334.00 |
| Jun 30, 2022 | 813,681.00 |
| Mar 31, 2022 | 544,269.00 |
| Dec 31, 2021 | 417,900.00 |
| Sep 30, 2021 | 1.53 Mn |
API Access
Digital Brands Prepaid Assets 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=prepaid-assets&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();