Digital Brands (DBGI) Non-Current Assets (2020 - 2026)
Digital Brands (DBGI) recorded Non-Current Assets of $28.68 million in Q2 2026, up 34.2% from $21.37 million a year earlier and up 2.5% from the prior quarter.
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Analysis
Digital Brands (DBGI) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Digital Brands reported Non-Current Assets of $23.87 million, up 57.1% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $15.19 million in FY2024 (-23.2%), $19.78 million in FY2023 (-20.6%), $24.91 million in FY2022 (-21.4%) and $31.71 million in FY2021 (+121.1%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets since Q1 2025.
- On a year-over-year basis, Non-Current Assets rose in five of the last eight quarters, with growth averaging 18.9%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 121.1% in Q4 2021, against a decline of 33.5% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.98 million (Q1 2026), $23.87 million (Q4 2025) and $21.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | 14.12 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | 3.81 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 3.82 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | 837.35 Mn |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 4.54 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 3.69 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 5.26 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 5.52 Bn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 4.31 Bn |
| 10 | Digital Brands | 1.41 Mn | -13.73 Mn | 324,265.00 | 28.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.68 Mn |
| Mar 31, 2026 | 27.98 Mn |
| Dec 31, 2025 | 23.87 Mn |
| Sep 30, 2025 | 21.19 Mn |
| Jun 30, 2025 | 21.37 Mn |
| Mar 31, 2025 | 32.02 Mn |
| Dec 31, 2024 | 15.19 Mn |
| Sep 30, 2024 | 16.90 Mn |
| Jun 30, 2024 | 18.38 Mn |
| Mar 31, 2024 | 18.85 Mn |
| Dec 31, 2023 | 19.78 Mn |
| Sep 30, 2023 | 20.09 Mn |
| Jun 30, 2023 | 20.94 Mn |
| Mar 31, 2023 | 24.23 Mn |
| Dec 31, 2022 | 24.91 Mn |
| Sep 30, 2022 | 30.20 Mn |
| Jun 30, 2022 | 30.80 Mn |
| Mar 31, 2022 | 31.41 Mn |
| Dec 31, 2021 | 31.71 Mn |
| Sep 30, 2021 | 35.19 Mn |
API Access
Digital Brands 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=non-current-assets&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();