Digital Brands (DBGI) Change in Accured Expenses (2020 - 2026)
Digital Brands' Change in Accured Expenses came in at -$759,277 for Q2 2026, compared with $217,989 a year earlier.
Digital Brands (DBGI) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Digital Brands reported Change in Accured Expenses of -$656,600; for FY2025, it was $459,428, down 7.9% from FY2024.
- Change in Accured Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -14.7% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $498,610 in FY2024 (-52.4%), $1.05 million in FY2023 (-35.8%), $1.63 million in FY2022 (+95.5%) and $834,489 in FY2021 (-17.9%).
- The Q2 2026 figure represents the lowest quarterly Change in Accured Expenses in data going back to Q1 2020.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2021 (growth of 279.7%), and the weakest in Q4 2021 (a decline of 77.9%).
- Business Quant data shows DBGI's Change in Accured Expenses at $123,826 (Q1 2026), -$134,118 (Q4 2025) and $112,969 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn | -1.22 Bn |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn | 99.80 Mn |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn | 53.30 Mn |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | - |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn | -4.52 Mn |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn | - |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -99.78 Mn |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | 40.70 Mn |
| 10 | Digital Brands | 859,363.67 | -14.28 Mn | 324,265.00 | -759,277.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -759,277.00 |
| Mar 31, 2026 | 123,826.00 |
| Dec 31, 2025 | -134,118.00 |
| Sep 30, 2025 | 112,969.00 |
| Jun 30, 2025 | 217,989.00 |
| Mar 31, 2025 | 262,588.00 |
| Dec 31, 2024 | 20,665.00 |
| Sep 30, 2024 | 279,305.00 |
| Jun 30, 2024 | 639,415.00 |
| Mar 31, 2024 | -440,775.00 |
| Dec 31, 2023 | -41,333.00 |
| Sep 30, 2023 | -257,305.00 |
| Jun 30, 2023 | 881,213.00 |
| Mar 31, 2023 | 464,855.00 |
| Dec 31, 2022 | -83,709.00 |
| Sep 30, 2022 | 253,649.00 |
| Jun 30, 2022 | 792,058.00 |
| Mar 31, 2022 | 669,514.00 |
| Dec 31, 2021 | 383,191.00 |
| Sep 30, 2021 | 189,279.00 |
Digital Brands Change in Accured 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=change-in-accured-expenses&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();