Digital Brands (DBGI) Long-Term Debt Issuances (2020 - 2025)
Digital Brands' Long-Term Debt Issuances came in at $240,000 for FY2025, down 69.7% from $790,977 in FY2024.
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Analysis
Digital Brands (DBGI) Long-Term Debt Issuances (2020 - 2025) Analysis & Trends
Going back to FY2020, Digital Brands' Long-Term Debt Issuances data covers 5 years.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of -32.4% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Long-Term Debt Issuances in data going back to FY2020.
- Per Business Quant, earlier years put Long-Term Debt Issuances at $790,977 in FY2024, $6.95 million in FY2022 (-17.6%) and $8.43 million in FY2021 (+395.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | - |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | - |
| 10 | Digital Brands | 1.41 Mn | -13.73 Mn | 324,265.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 100,000.00 |
| Mar 31, 2024 | 27,936.00 |
| Dec 31, 2022 | 3.20 Mn |
| Sep 30, 2022 | 1.69 Mn |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 868,582.00 |
| Dec 31, 2021 | 3.51 Mn |
| Sep 30, 2021 | 4.55 Mn |
| Jun 30, 2021 | 1.28 Mn |
| Mar 31, 2021 | 1.88 Mn |
| Dec 31, 2020 | 1.25 Mn |
| Jun 30, 2020 | 1.60 Mn |
| Mar 31, 2020 | 122,414.00 |
API Access
Digital Brands Long-Term Debt Issuances 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-issuances&ticker=DBGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=DBGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();