Digital Brands (DBGI) Accumulated Expenses (2020 - 2026)
Digital Brands (DBGI) recorded Accumulated Expenses of $4.97 million in Q2 2026, down 10.1% from $5.53 million a year earlier and down 12.1% from the prior quarter.
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Analysis
Digital Brands (DBGI) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Digital Brands reported Accumulated Expenses of $5.56 million, up 5.8% from FY2024.
- Annual Accumulated Expenses has increased for five straight years, with a five-year compound annual growth rate of 34.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $5.26 million in FY2024 (+10.5%), $4.76 million in FY2023 (+20.9%), $3.94 million in FY2022 (+76.0%) and $2.24 million in FY2021 (+79.6%).
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q2 2024.
- On a year-over-year basis, Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 7.8%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 128.9% in Q2 2022, against a decline of 12.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.65 million (Q1 2026), $5.56 million (Q4 2025) and $5.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn |
| 10 | Digital Brands | 1.41 Mn | -13.73 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();