XCel Brands (XELB) Receivables - Other (2011 - 2018)
XCel Brands' Receivables - Other came in at $1.5 million for Q4 2018, up 87.5% from $800,000 a year earlier and up 15.4% from the prior quarter.
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Analysis
XCel Brands (XELB) Receivables - Other (2011 - 2018) Analysis & Trends
Going back to Q4 2011, XCel Brands' Receivables - Other data covers 12 quarters.
- Receivables - Other carries a three-year compound annual growth rate of 8.3% (FY2015 to FY2018).
- Going back by year, Receivables - Other was $800,000 in FY2017 (-53.8%), $1.73 million in FY2016 (+46.6%) and $1.18 million in FY2015.
- The Q4 2018 figure represents the highest quarterly Receivables - Other since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | XCel Brands | 4.53 Mn | -1.62 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.50 Mn |
| Sep 30, 2018 | 1.30 Mn |
| Jun 30, 2018 | 1.30 Mn |
| Dec 31, 2017 | 800,000.00 |
| Dec 31, 2016 | 1.73 Mn |
| Sep 30, 2016 | 290,000.00 |
| Dec 31, 2015 | 1.18 Mn |
| Jun 30, 2013 | 1.15 Mn |
| Mar 31, 2013 | 590,000.00 |
| Dec 31, 2012 | 699,000.00 |
| Sep 30, 2012 | 333,000.00 |
| Dec 31, 2011 | 1.50 Mn |
API Access
XCel Brands Receivables - Other 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=receivables-other&ticker=XELB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();