XCel Brands (XELB) EV to EBITDA (2013 - 2023)
XCel Brands' (XELB) EV to EBITDA stood at 4.49 in Q1 2023, up 165.7% from the prior quarter.
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Analysis
XCel Brands (XELB) EV to EBITDA (2013 - 2023) Analysis & Trends
On a TTM basis, XCel Brands' EV to EBITDA came in at -6.92 as of Mar 31, 2023; for FY2022, it was 1.69.
- Across earlier years, EV to EBITDA came in at 18.63 in FY2019 (+812.4%) and 2.04 in FY2018.
- The Q1 2023 figure is the highest quarterly EV to EBITDA since Q4 2019.
- Per Business Quant, the preceding three quarters came in at 1.69 (Q4 2022), 1.55 (Q3 2022) and 1.11 (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn |
| 10 | XCel Brands | 4.53 Mn | -1.62 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 4.49 |
| Dec 31, 2022 | 1.69 |
| Sep 30, 2022 | 1.55 |
| Jun 30, 2022 | 1.11 |
| Dec 31, 2019 | 18.63 |
| Sep 30, 2019 | 3.96 |
| Jun 30, 2019 | 2.58 |
| Mar 31, 2019 | 4.44 |
| Dec 31, 2018 | 2.04 |
| Sep 30, 2017 | 7.67 |
| Jun 30, 2017 | 6.58 |
| Mar 31, 2017 | 6.10 |
| Dec 31, 2016 | 10.57 |
| Sep 30, 2016 | 18.10 |
| Jun 30, 2016 | 20.16 |
| Mar 31, 2016 | 14.96 |
| Dec 31, 2015 | 19.63 |
| Sep 30, 2015 | 28.78 |
| Jun 30, 2015 | 21.35 |
| Mar 31, 2015 | 28.69 |
API Access
XCel Brands EV to 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=ev-to-ebitda&ticker=XELB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();