Digital Brands (DBGI) Accumulated Expenses (2020 - 2026)
Digital Brands' (DBGI) quarterly Accumulated Expenses came in at $5.0 million in Q2 2026, down 10.14% on a YoY basis from $5.5 million in Q2 2025, and down 12.1% quarter-over-quarter from $5.6 million in Q1 2026.
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Digital Brands (DBGI) Accumulated Expenses (2020 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Accumulated Expenses for 7 consecutive years, with $5.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses fell 10.14% year-over-year to $5.0 million; the trailing twelve-month figure through Jun 2026 stood at $5.0 million (down 10.14% YoY), and the FY2025 full-year result was $5.6 million, up 5.79% from the prior year.
- Accumulated Expenses fell to $5.0 million in Q2 2026 per DBGI's latest filing, from $5.6 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $5.6 million in Q1 2026 and bottomed at $2.9 million in Q1 2022.
- Historically, Accumulated Expenses has averaged $4.8 million across 5 years, with a median of $5.0 million in 2024.
- The sharpest annual moves came in 2022 and 2024: Accumulated Expenses soared 128.93% in 2022, then dropped 12.28% in 2024.
- Over 5 years, Accumulated Expenses stood at $3.9 million in 2022, then advanced by 20.87% to $4.8 million in 2023, then increased by 10.48% to $5.3 million in 2024, then climbed by 5.79% to $5.6 million in 2025, then retreated by 10.71% to $5.0 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $5.0 million, $5.6 million, and $5.6 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 | 4.97 Mn |
| Mar 31, 2026 | 5.65 Mn |
| Dec 31, 2025 | 5.56 Mn |
| Sep 30, 2025 | 5.52 Mn |
| Jun 30, 2025 | 5.53 Mn |
| Mar 31, 2025 | 5.43 Mn |
| Dec 31, 2024 | 5.26 Mn |
| Sep 30, 2024 | 5.24 Mn |
| Jun 30, 2024 | 4.96 Mn |
| Mar 31, 2024 | 4.32 Mn |
| Dec 31, 2023 | 4.76 Mn |
| Sep 30, 2023 | 4.78 Mn |
| Jun 30, 2023 | 5.04 Mn |
| Mar 31, 2023 | 4.92 Mn |
| Dec 31, 2022 | 3.94 Mn |
| Sep 30, 2022 | 3.95 Mn |
| Jun 30, 2022 | 3.70 Mn |
| Mar 31, 2022 | 2.91 Mn |
| Dec 31, 2021 | 2.24 Mn |
| Sep 30, 2021 | 1.85 Mn |
API Access
Digital Brands Accumulated Expenses 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=accumulated-expenses&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();