XCel Brands (XELB) EBIT (2010 - 2026)
XCel Brands' EBIT was -$1.59 million in Q2 2026, compared with -$1.65 million a year earlier.
Analysis
XCel Brands (XELB) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, XCel Brands' EBIT was -$12.63 million through Jun 30, 2026; for FY2025, it came in at -$13.23 million.
- In earlier years, EBIT was -$21.41 million in FY2024, -$20.64 million in FY2023, -$2.26 million in FY2022 and -$12.56 million in FY2021.
- The Q2 2026 figure marks the highest quarterly EBIT since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 888.00 Mn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | - |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 222.30 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -83.07 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 175.90 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 236.02 Mn |
| 10 | XCel Brands | 2.40 Mn | -1.61 Mn | - | -1.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.59 Mn |
| Dec 31, 2025 | -1.95 Mn |
| Sep 30, 2025 | -7.44 Mn |
| Jun 30, 2025 | -1.65 Mn |
| Mar 31, 2025 | -2.19 Mn |
| Dec 31, 2024 | -6.44 Mn |
| Sep 30, 2024 | -9.08 Mn |
| Jun 30, 2024 | 307,000.00 |
| Mar 31, 2024 | -6.20 Mn |
| Dec 31, 2023 | -5.62 Mn |
| Sep 30, 2023 | -5.40 Mn |
| Jun 30, 2023 | -3.71 Mn |
| Mar 31, 2023 | -5.91 Mn |
| Dec 31, 2022 | -8.42 Mn |
| Sep 30, 2022 | -5.98 Mn |
| Jun 30, 2022 | 15.17 Mn |
| Mar 31, 2022 | -3.03 Mn |
| Dec 31, 2021 | -7.05 Mn |
| Sep 30, 2021 | -1.31 Mn |
| Jun 30, 2021 | -1.72 Mn |
API Access
XCel Brands EBIT 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=ebit&ticker=XELB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();