Digital Brands (DBGI) Total Current Liabilities (2020 - 2026)
Digital Brands' Total Current Liabilities was $30.85 million in Q2 2026, up 59.2% from $19.38 million a year earlier and up 14.9% from the prior quarter.
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Analysis
Digital Brands (DBGI) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Digital Brands came in at $26.07 million, up 25.2% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $20.82 million in FY2024 (-10.3%), $23.22 million in FY2023 (-43.2%), $40.89 million in FY2022 (+16.7%) and $35.05 million in FY2021 (+72.8%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q1 2023.
- Compared with a year earlier, Total Current Liabilities has increased for four straight quarters, with growth averaging 13.0% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q1 2022 (growth of 164.9%); the worst was Q3 2023 (a decline of 50.9%).
- Per Business Quant data, DBGI's Total Current Liabilities in the three quarters before Q2 2026 was $26.84 million (Q1 2026), $26.07 million (Q4 2025) and $24.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.66 Bn | 21.86 Bn | 4.80 Bn | 11.41 Bn |
| 2 | Tapestry | 23.59 Bn | 19.55 Bn | 1.56 Bn | 1.65 Bn |
| 3 | Ralph Lauren | 22.82 Bn | 14.92 Bn | 1.44 Bn | 1.88 Bn |
| 4 | Deckers Outdoor | 12.21 Bn | 5.08 Bn | - | 804.07 Mn |
| 5 | Lululemon Athletica | 10.87 Bn | 5.12 Bn | 1.46 Bn | 1.80 Bn |
| 6 | Levi Strauss | 8.10 Bn | 4.69 Bn | 1.07 Bn | 1.99 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 2.95 Bn |
| 8 | Gildan Activewear | 6.43 Bn | 5.35 Bn | 459.76 Mn | 2.35 Bn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 569.59 Mn |
| 10 | Digital Brands | 1.24 Mn | -13.90 Mn | 324,265.00 | 30.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.85 Mn |
| Mar 31, 2026 | 26.84 Mn |
| Dec 31, 2025 | 26.07 Mn |
| Sep 30, 2025 | 24.81 Mn |
| Jun 30, 2025 | 19.38 Mn |
| Mar 31, 2025 | 19.69 Mn |
| Dec 31, 2024 | 20.82 Mn |
| Sep 30, 2024 | 22.44 Mn |
| Jun 30, 2024 | 21.42 Mn |
| Mar 31, 2024 | 21.35 Mn |
| Dec 31, 2023 | 23.22 Mn |
| Sep 30, 2023 | 22.36 Mn |
| Jun 30, 2023 | 22.65 Mn |
| Mar 31, 2023 | 40.14 Mn |
| Dec 31, 2022 | 40.89 Mn |
| Sep 30, 2022 | 45.54 Mn |
| Jun 30, 2022 | 43.97 Mn |
| Mar 31, 2022 | 40.85 Mn |
| Dec 31, 2021 | 35.05 Mn |
| Sep 30, 2021 | 23.67 Mn |
API Access
Digital Brands Total Current Liabilities 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=total-current-liabilities&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();