XCel Brands (XELB) Price to Earnings (2013 - 2019)
XCel Brands' Price to Earnings was 22.83 in Q3 2019, up 122.3% from the prior quarter.
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Analysis
XCel Brands (XELB) Price to Earnings (2013 - 2019) Analysis & Trends
For FY2018, Price to Earnings at XCel Brands came in at 18.84.
- In earlier years, Price to Earnings was 29.97 in FY2016 (-44.2%) and 53.71 in FY2015.
- Quarterly Price to Earnings has moved between 10.27 (Q2 2019) and 141.65 (Q2 2016) over five years.
- Per Business Quant data, XELB's Price to Earnings in the three quarters before Q3 2019 was 10.27 (Q2 2019), 44.98 (Q1 2019) and 18.84 (Q4 2018).
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 |
|---|---|
| Sep 30, 2019 | 22.83 |
| Jun 30, 2019 | 10.27 |
| Mar 31, 2019 | 44.98 |
| Dec 31, 2018 | 18.84 |
| Sep 30, 2017 | 24.23 |
| Jun 30, 2017 | 20.97 |
| Mar 31, 2017 | 20.90 |
| Dec 31, 2016 | 29.97 |
| Sep 30, 2016 | 124.12 |
| Jun 30, 2016 | 141.65 |
| Mar 31, 2016 | 37.87 |
| Dec 31, 2015 | 53.71 |
| Sep 30, 2015 | 126.32 |
| Jun 30, 2015 | 88.32 |
| Jun 30, 2014 | 44.26 |
| Mar 31, 2014 | 71.89 |
| Dec 31, 2013 | 18.29 |
| Sep 30, 2013 | 69.45 |
API Access
XCel Brands Price to Earnings 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-earnings&ticker=XELB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();