XCel Brands (XELB) Cash from Discontinued Operations (2014 - 2015)
XCel Brands (XELB) reported Cash from Discontinued Operations of $4,000 for Q4 2015, down 91.7% from $48,000 a year earlier.
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Analysis
XCel Brands (XELB) Cash from Discontinued Operations (2014 - 2015) Analysis & Trends
For FY2015, XCel Brands posted Cash from Discontinued Operations of $108,000.
- By year, Cash from Discontinued Operations came in at -$739,000 in FY2014 and -$252,000 in FY2013.
- Five-year quarterly Cash from Discontinued Operations spans a low of -$459,000 in Q2 2014 and a high of $256,000 in Q2 2015.
- Per Business Quant data, the three quarters before Q4 2015 came in at -$103,000 (Q3 2015), $256,000 (Q2 2015) and -$49,000 (Q1 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Discont. Ops (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 |
|---|---|
| Dec 31, 2015 | 4,000.00 |
| Sep 30, 2015 | -103,000.00 |
| Jun 30, 2015 | 256,000.00 |
| Mar 31, 2015 | -49,000.00 |
| Dec 31, 2014 | 48,000.00 |
| Sep 30, 2014 | -218,000.00 |
| Jun 30, 2014 | -459,000.00 |
| Mar 31, 2014 | -110,000.00 |
API Access
XCel Brands Cash from Discontinued Operations 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=cash-from-discontinued-operations&ticker=XELB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-discontinued-operations", "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=cash-from-discontinued-operations&ticker=XELB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();