Digital Brands (DBGI) Other Non-Current Assets (2020 - 2026)
Digital Brands' Other Non-Current Assets was $14.21 million in Q2 2026, up 253.9% from $4.02 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Digital Brands (DBGI) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Assets at Digital Brands came in at $13.49 million.
- Other Non-Current Assets shows a five-year compound annual growth rate of 128.9% (FY2020 to FY2025).
- In earlier years, Other Non-Current Assets was $75,431 in FY2024 (unchanged), $75,431 in FY2023 (-97.1%), $2.63 million in FY2022 (+614.8%) and $367,696 in FY2021 (+71.3%).
- The Q2 2026 figure marks the highest quarterly Other Non-Current Assets in data going back to Q4 2020.
- Compared with a year earlier, Other Non-Current Assets was higher in two of the last four quarters, with growth averaging 74.3%.
- The best year-over-year quarter for Other Non-Current Assets over five years was Q4 2022 (growth of 614.8%); the worst was Q4 2023 (a decline of 97.1%).
- Per Business Quant data, DBGI's Other Non-Current Assets in the three quarters before Q2 2026 was $13.27 million (Q1 2026), $13.49 million (Q4 2025) and $5.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.64 Bn | 21.85 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.79 Bn | 19.74 Bn | 1.56 Bn | 180.20 Mn |
| 3 | Ralph Lauren | 22.93 Bn | 15.03 Bn | 1.44 Bn | 146.90 Mn |
| 4 | Deckers Outdoor | 12.27 Bn | 5.14 Bn | - | 66.33 Mn |
| 5 | Lululemon Athletica | 10.96 Bn | 5.21 Bn | 1.46 Bn | 332.64 Mn |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | 545.60 Mn |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | 2.88 Bn |
| 8 | Gildan Activewear | 6.49 Bn | 5.41 Bn | 459.76 Mn | 98.97 Mn |
| 9 | Birkenstock Holding | 6.05 Bn | 4.37 Bn | 493.89 Mn | 14.17 Mn |
| 10 | Digital Brands | 1.29 Mn | -13.85 Mn | 324,265.00 | 14.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.44 Mn |
| Mar 31, 2026 | 13.50 Mn |
| Dec 31, 2025 | 13.57 Mn |
| Sep 30, 2025 | 10.04 Mn |
| Jun 30, 2025 | 4.09 Mn |
| Mar 31, 2025 | 75,431.00 |
| Dec 31, 2024 | 75,431.00 |
| Sep 30, 2024 | 152,711.00 |
| Jun 30, 2024 | 152,711.00 |
| Mar 31, 2024 | 75,431.00 |
| Dec 31, 2023 | 75,431.00 |
| Sep 30, 2023 | 106,547.00 |
| Jun 30, 2023 | 106,547.00 |
| Mar 31, 2023 | 110,962.00 |
| Dec 31, 2022 | 2.82 Mn |
| Sep 30, 2022 | 505,490.00 |
| Jun 30, 2022 | 505,490.00 |
| Mar 31, 2022 | 505,490.00 |
| Dec 31, 2021 | 367,696.00 |
| Sep 30, 2021 | 541,805.00 |
API Access
Digital Brands Other Non-Current Assets 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-non-current-assets&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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-non-current-assets&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();