Digital Brands (DBGI) Long-Term Debt Repayments (2021 - 2026)
Digital Brands' Long-Term Debt Repayments was -$7,956 in Q2 2026, compared with $115,135 a year earlier.
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Analysis
Digital Brands (DBGI) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Digital Brands' Long-Term Debt Repayments was $558,116 through Jun 30, 2026, down 71.5% year-over-year; for FY2025, it came in at $685,267, down 82.3% from FY2024.
- Long-Term Debt Repayments shows a four-year compound annual growth rate of -23.6% (FY2021 to FY2025).
- In earlier years, Long-Term Debt Repayments was $3.87 million in FY2024 (-61.8%), $10.13 million in FY2023 (+37.8%), $7.35 million in FY2022 (+266.3%) and $2.01 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Long-Term Debt Repayments in data going back to Q3 2021.
- Compared with a year earlier, Long-Term Debt Repayments was higher in 1 of the last seven quarters, with an average decline of 53.4%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q2 2024 (growth of 79.3%); the worst was Q2 2025 (a decline of 93.1%).
- Per Business Quant data, DBGI's Long-Term Debt Repayments in the three quarters before Q2 2026 was $151,316 (Q1 2026), $254,642 (Q4 2025) and $160,114 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.71 Bn | 21.91 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.88 Bn | 14.97 Bn | 1.44 Bn | 7.10 Mn |
| 4 | Deckers Outdoor | 12.35 Bn | 5.22 Bn | - | - |
| 5 | Lululemon Athletica | 11.00 Bn | 5.25 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.14 Bn | 4.72 Bn | 1.07 Bn | - |
| 7 | V F | 6.80 Bn | 3.42 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.54 Bn | 5.46 Bn | 459.76 Mn | -25.30 Mn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | 534.46 Mn |
| 10 | Digital Brands | 1.32 Mn | -13.82 Mn | 324,265.00 | -7,956.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7,956.00 |
| Mar 31, 2026 | 151,316.00 |
| Dec 31, 2025 | 254,642.00 |
| Sep 30, 2025 | 160,114.00 |
| Jun 30, 2025 | 115,135.00 |
| Mar 31, 2025 | 155,376.00 |
| Dec 31, 2024 | 1.39 Mn |
| Sep 30, 2024 | 304,342.00 |
| Jun 30, 2024 | 1.66 Mn |
| Mar 31, 2024 | 519,260.00 |
| Dec 31, 2023 | 1.42 Mn |
| Sep 30, 2023 | 2.24 Mn |
| Jun 30, 2023 | 926,931.00 |
| Mar 31, 2023 | 5.68 Mn |
| Dec 31, 2022 | 4.45 Mn |
| Dec 31, 2021 | 3,897.00 |
| Sep 30, 2021 | 1,426.00 |
API Access
Digital Brands Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();