Digital Brands (DBGI) Non-Current Deferred Tax Liability (2023 - 2026)
Digital Brands (DBGI) posted Non-Current Deferred Tax Liability of $248,990 for Q2 2026, unchanged from $248,990 a year earlier and unchanged from the prior quarter.
Digital Brands (DBGI) Non-Current Deferred Tax Liability (2023 - 2026) Analysis & Trends
Since Q4 2023, Digital Brands has reported Non-Current Deferred Tax Liability for 11 quarters.
- In prior years, Digital Brands' Non-Current Deferred Tax Liability was $248,990 in FY2024 (-32.3%) and $368,034 in FY2023.
- Quarterly Non-Current Deferred Tax Liability has run from a low of $248,990 in Q4 2024 to a high of $368,034 in Q3 2024 over five years.
- According to Business Quant data, Non-Current Deferred Tax Liability for the three prior quarters was $248,990 (Q1 2026), $248,990 (Q4 2025) and $248,990 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.66 Bn | 21.86 Bn | 4.80 Bn |
| 2 | Tapestry | 23.83 Bn | 19.78 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.79 Bn | 14.88 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.35 Bn | 5.22 Bn | - |
| 5 | Lululemon Athletica | 10.97 Bn | 5.22 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.11 Bn | 4.69 Bn | 1.07 Bn |
| 7 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.51 Bn | 5.43 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.10 Bn | 4.43 Bn | 493.89 Mn |
| 10 | Digital Brands | 1.30 Mn | -13.85 Mn | 324,265.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248,990.00 |
| Mar 31, 2026 | 248,990.00 |
| Dec 31, 2025 | 248,990.00 |
| Sep 30, 2025 | 248,990.00 |
| Jun 30, 2025 | 248,990.00 |
| Mar 31, 2025 | 248,990.00 |
| Dec 31, 2024 | 248,990.00 |
| Sep 30, 2024 | 368,034.00 |
| Jun 30, 2024 | 368,034.00 |
| Mar 31, 2024 | 368,034.00 |
| Dec 31, 2023 | 368,034.00 |
Digital Brands Non-Current Deferred Tax Liability 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=non-current-deferred-tax-liability&ticker=DBGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deferred-tax-liability", "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=non-current-deferred-tax-liability&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();