XCel Brands (XELB) EBITDA (2011 - 2026)
XCel Brands' EBITDA came in at -$772,000 for Q2 2026, compared with -$755,000 a year earlier.
Analysis
XCel Brands (XELB) EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, XCel Brands reported EBITDA of -$9.12 million; for FY2025, it came in at -$9.64 million.
- Going back by year, EBITDA was -$16.46 million in FY2024, -$13.69 million in FY2023, $5 million in FY2022 and -$5.73 million in FY2021.
- The five-year range for quarterly EBITDA is -$8.17 million (Q3 2024) to $16.98 million (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 179.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 244.22 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 244.59 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 305.72 Mn |
| 10 | XCel Brands | 4.73 Mn | -1.42 Mn | - | -772,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -772,000.00 |
| Dec 31, 2025 | -1.05 Mn |
| Sep 30, 2025 | -6.55 Mn |
| Jun 30, 2025 | -755,000.00 |
| Mar 31, 2025 | -1.29 Mn |
| Dec 31, 2024 | -5.54 Mn |
| Sep 30, 2024 | -8.17 Mn |
| Jun 30, 2024 | 1.85 Mn |
| Mar 31, 2024 | -4.61 Mn |
| Dec 31, 2023 | -3.93 Mn |
| Sep 30, 2023 | -3.73 Mn |
| Jun 30, 2023 | -1.92 Mn |
| Mar 31, 2023 | -4.12 Mn |
| Dec 31, 2022 | -6.61 Mn |
| Sep 30, 2022 | -4.16 Mn |
| Jun 30, 2022 | 16.98 Mn |
| Mar 31, 2022 | -1.21 Mn |
| Dec 31, 2021 | -5.17 Mn |
| Sep 30, 2021 | 585,000.00 |
| Jun 30, 2021 | 131,000.00 |
API Access
XCel Brands EBITDA 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=ebitda&ticker=XELB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();