XCel Brands (XELB) Short term Debt (2012 - 2026)
XCel Brands (XELB) recorded Short term Debt of $1.87 million in Q2 2026, up 273.0% from $500,000 a year earlier.
Analysis
XCel Brands (XELB) Short term Debt (2012 - 2026) Analysis & Trends
At the end of FY2025, XCel Brands reported Short term Debt of $3.25 million.
- Annual Short term Debt has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier years, Short term Debt came in at $750,000 in FY2023 and $2.5 million in FY2021 (-10.7%).
- Quarterly Short term Debt has ranged from $250,000 in Q1 2025 to $5 million in Q3 2021 over the past five years.
- On a year-over-year basis, Short term Debt rose in two of the last four quarters, with growth averaging 99.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 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 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | XCel Brands | 4.53 Mn | -1.62 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.87 Mn |
| Dec 31, 2025 | 3.25 Mn |
| Sep 30, 2025 | 3.50 Mn |
| Jun 30, 2025 | 500,000.00 |
| Mar 31, 2025 | 250,000.00 |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 750,000.00 |
| Mar 31, 2022 | 2.50 Mn |
| Dec 31, 2021 | 2.50 Mn |
| Sep 30, 2021 | 5.00 Mn |
| Jun 30, 2021 | 4.00 Mn |
| Mar 31, 2021 | 2.50 Mn |
| Dec 31, 2020 | 2.80 Mn |
| Sep 30, 2020 | 2.85 Mn |
| Jun 30, 2020 | 2.90 Mn |
| Mar 31, 2020 | 3.38 Mn |
| Dec 31, 2019 | 2.25 Mn |
| Sep 30, 2019 | 4.75 Mn |
API Access
XCel Brands Short term 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=short-term-debt&ticker=XELB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();