Digital Brands (DBGI) Other Accumulated Expenses (2022 - 2026)
Digital Brands' (DBGI) quarterly Other Accumulated Expenses came in at $370921.0 in Q2 2026, down 7.83% on a YoY basis from $402421.0 in Q2 2025, and little changed quarter-over-quarter from $370921.0 in Q1 2026.
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Digital Brands (DBGI) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
Digital Brands (DBGI) has reported Other Accumulated Expenses for 5 consecutive years, with $370921.0 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Other Accumulated Expenses fell 7.83% year-over-year to $370921.0; the trailing twelve-month figure through Jun 2026 stood at $370921.0 (down 7.83% YoY), and the FY2025 full-year result was $370921.0, down 9.95% from the prior year.
- Other Accumulated Expenses steadied at $370921.0 in Q2 2026 per DBGI's latest filing, from $370921.0 in the prior quarter.
- Across five years, Other Accumulated Expenses topped out at $556217.0 in Q4 2022 and bottomed at $370921.0 in Q4 2025.
- Historically, Other Accumulated Expenses has averaged $411983.1 across 5 years, with a median of $401216.5 in 2023.
- The sharpest annual moves came in 2023 and 2025: Other Accumulated Expenses fell 28.08% in 2023, then climbed 3.3% in 2025.
- Over 5 years, Other Accumulated Expenses stood at $556217.0 in 2022, then slipped by 28.08% to $400012.0 in 2023, then gained by 2.98% to $411921.0 in 2024, then decreased by 9.95% to $370921.0 in 2025, then changed by 0.0% to $370921.0 in 2026.
- According to Business Quant data, Other Accumulated Expenses over the past three periods registered $370921.0, $370921.0, and $370921.0 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 | 370,921.00 |
| Mar 31, 2026 | 370,921.00 |
| Dec 31, 2025 | 370,921.00 |
| Sep 30, 2025 | 395,921.00 |
| Jun 30, 2025 | 402,421.00 |
| Mar 31, 2025 | 411,921.00 |
| Dec 31, 2024 | 411,921.00 |
| Sep 30, 2024 | 426,921.00 |
| Jun 30, 2024 | 426,921.00 |
| Mar 31, 2024 | 398,779.00 |
| Dec 31, 2023 | 400,012.00 |
| Dec 31, 2022 | 556,217.00 |
API Access
Digital Brands Other 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=other-accumulated-expenses&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();