XCel Brands (XELB) Debt Ratio (2011 - 2026)
XCel Brands' Debt Ratio was 0.37 in Q2 2026, up 43.4% from 0.26 a year earlier.
Analysis
XCel Brands (XELB) Debt Ratio (2011 - 2026) Analysis & Trends
For FY2025, Debt Ratio at XCel Brands came in at 0.33, up 167.0% from FY2024.
- In earlier years, Debt Ratio was 0.12 in FY2024 (+85.5%), 0.07 in FY2023 and 0.22 in FY2021 (+64.8%).
- The Q2 2026 figure marks the highest quarterly Debt Ratio since Q3 2014.
- Over the past five years, the year-over-year growth in Debt Ratio ranged from 43.4% (Q2 2026) to 289.4% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 0.21 |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 0.16 |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 0.16 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 0.45 |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 0.30 |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 0.30 |
| 10 | XCel Brands | 4.53 Mn | -1.62 Mn | - | 0.37 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.37 |
| Dec 31, 2025 | 0.33 |
| Sep 30, 2025 | 0.31 |
| Jun 30, 2025 | 0.26 |
| Mar 31, 2025 | 0.17 |
| Dec 31, 2024 | 0.12 |
| Sep 30, 2024 | 0.08 |
| Jun 30, 2024 | 0.07 |
| Mar 31, 2024 | 0.07 |
| Dec 31, 2023 | 0.07 |
| Mar 31, 2022 | 0.22 |
| Dec 31, 2021 | 0.22 |
| Sep 30, 2021 | 0.19 |
| Jun 30, 2021 | 0.19 |
| Mar 31, 2021 | 0.14 |
| Dec 31, 2020 | 0.14 |
| Sep 30, 2020 | 0.13 |
| Jun 30, 2020 | 0.13 |
| Mar 31, 2020 | 0.13 |
| Dec 31, 2019 | 0.13 |
API Access
XCel Brands Debt Ratio 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=debt-ratio&ticker=XELB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "XELB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();