XCel Brands (XELB) Non-Current Debt (2011 - 2026)
XCel Brands (XELB) posted Non-Current Debt of $10 million for Q4 2014, compared with -$1 million a year earlier.
Analysis
XCel Brands (XELB) Non-Current Debt (2011 - 2026) Analysis & Trends
- In prior years, XCel Brands' Non-Current Debt was -$1.5 million in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 5.89 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 1.24 Bn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 1.04 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 3.00 Bn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 25.30 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 1.92 Bn |
| 10 | XCel Brands | 2.40 Mn | -1.61 Mn | - | 10.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.23 Mn |
| Dec 31, 2025 | 9.46 Mn |
| Sep 30, 2025 | 9.04 Mn |
| Jun 30, 2025 | 11.75 Mn |
| Mar 31, 2025 | 8.47 Mn |
| Dec 31, 2024 | 6.57 Mn |
| Sep 30, 2024 | 3.30 Mn |
| Jun 30, 2024 | 3.52 Mn |
| Mar 31, 2024 | 3.75 Mn |
| Dec 31, 2023 | 3.97 Mn |
| Mar 31, 2022 | 25.00 Mn |
| Dec 31, 2021 | 25.53 Mn |
| Sep 30, 2021 | 20.23 Mn |
| Jun 30, 2021 | 20.83 Mn |
| Mar 31, 2021 | 14.16 Mn |
| Dec 31, 2020 | 13.84 Mn |
| Sep 30, 2020 | 14.52 Mn |
| Jun 30, 2020 | 15.23 Mn |
| Mar 31, 2020 | 15.47 Mn |
| Dec 31, 2019 | 16.57 Mn |
API Access
XCel Brands Non-Current Debt 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-debt&ticker=XELB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();