XCel Brands (XELB) Price to Book (2012 - 2026)
XCel Brands' Price to Book was 0.84 in Q2 2026, up 328.8% from 0.20 a year earlier.
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Analysis
XCel Brands (XELB) Price to Book (2012 - 2026) Analysis & Trends
For FY2025, Price to Book at XCel Brands came in at 0.21, down 51.9% from FY2024.
- In earlier years, Price to Book was 0.43 in FY2024 (-19.0%), 0.53 in FY2023 (+170.7%), 0.20 in FY2022 (-31.2%) and 0.28 in FY2021 (+5.4%).
- The Q2 2026 figure marks the highest quarterly Price to Book since Q3 2016.
- Compared with a year earlier, Price to Book was higher in two of the last seven quarters, with growth averaging 27.2%.
- The best year-over-year quarter for Price to Book over five years was Q2 2026 (growth of 328.8%); the worst was Q2 2022 (a decline of 59.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | XCel Brands | 4.27 Mn | -1.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.84 |
| Dec 31, 2025 | 0.21 |
| Sep 30, 2025 | 0.37 |
| Jun 30, 2025 | 0.20 |
| Mar 31, 2025 | 0.26 |
| Dec 31, 2024 | 0.43 |
| Sep 30, 2024 | 0.50 |
| Jun 30, 2024 | 0.31 |
| Mar 31, 2024 | 0.42 |
| Dec 31, 2023 | 0.53 |
| Sep 30, 2023 | 0.38 |
| Jun 30, 2023 | 0.57 |
| Mar 31, 2023 | 0.19 |
| Dec 31, 2022 | 0.20 |
| Sep 30, 2022 | 0.24 |
| Jun 30, 2022 | 0.29 |
| Mar 31, 2022 | 0.41 |
| Dec 31, 2021 | 0.28 |
| Sep 30, 2021 | 0.35 |
| Jun 30, 2021 | 0.71 |
API Access
XCel Brands Price to Book 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=price-to-book&ticker=XELB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();