XCel Brands (XELB) Return on Sales [ROS] (2011 - 2026)
XCel Brands (XELB) posted Return on Sales [ROS] of -141.39% for Q2 2026, down 16.18 percentage points from -125.21% a year earlier.
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Analysis
XCel Brands (XELB) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at XCel Brands was -267.11%, up 68.22 percentage points year-over-year; for FY2025, it was -267.89%, down 8.67 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -212.16 percentage points (FY2020 to FY2025).
- In prior years, XCel Brands' Return on Sales [ROS] was -259.22% in FY2024 (-142.95 pp), -116.27% in FY2023 (-107.51 pp), -8.77% in FY2022 (+24.34 pp) and -33.10% in FY2021 (+22.62 pp).
- Quarterly Return on Sales [ROS] has run from a low of -665.65% in Q3 2025 to a high of 179.15% in Q2 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last seven quarters, with an average year-over-year change of -59.16 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 366.14 percentage points; the weakest was Q4 2024, with a drop of 287.18 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | XCel Brands | 4.27 Mn | -1.88 Mn | - | -141.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -141.39% |
| Dec 31, 2025 | -166.78% |
| Sep 30, 2025 | -665.65% |
| Jun 30, 2025 | -125.21% |
| Mar 31, 2025 | -164.19% |
| Dec 31, 2024 | -532.92% |
| Sep 30, 2024 | -474.79% |
| Jun 30, 2024 | 10.39% |
| Mar 31, 2024 | -283.65% |
| Dec 31, 2023 | -245.74% |
| Sep 30, 2023 | -204.89% |
| Jun 30, 2023 | -54.68% |
| Mar 31, 2023 | -97.74% |
| Dec 31, 2022 | -207.18% |
| Sep 30, 2022 | -132.75% |
| Jun 30, 2022 | 179.15% |
| Mar 31, 2022 | -34.64% |
| Dec 31, 2021 | -87.02% |
| Sep 30, 2021 | -11.60% |
| Jun 30, 2021 | -15.95% |
API Access
XCel Brands Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=XELB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();