Waterstone Financial (WSBF) Intangibles (2013 - 2016)
Waterstone Financial's Intangibles was $2.26 million in Q4 2016, up 58.9% from $1.42 million a year earlier.
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Analysis
Waterstone Financial (WSBF) Intangibles (2013 - 2016) Analysis & Trends
From Q4 2013 onward, Waterstone Financial has reported Intangibles for 11 quarters.
- Intangibles shows a three-year compound annual growth rate of -12.5% (FY2013 to FY2016).
- In earlier years, Intangibles was $1.42 million in FY2015 (-43.4%), $2.51 million in FY2014 (-25.6%) and $3.38 million in FY2013.
- The Q4 2016 figure marks the highest quarterly Intangibles since Q2 2015.
- Compared with a year earlier, Intangibles was higher in three of the last six quarters, with growth averaging 2.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 64.87 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 91.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 5.79 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 5.23 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Waterstone Financial | 362.38 Mn | 154.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 2.26 Mn |
| Mar 31, 2016 | 1.68 Mn |
| Dec 31, 2015 | 1.42 Mn |
| Sep 30, 2015 | 978,000.00 |
| Jun 30, 2015 | 3.51 Mn |
| Mar 31, 2015 | 2.88 Mn |
| Dec 31, 2014 | 2.51 Mn |
| Sep 30, 2014 | 1.54 Mn |
| Jun 30, 2014 | 2.72 Mn |
| Mar 31, 2014 | 1.93 Mn |
| Dec 31, 2013 | 3.38 Mn |
API Access
Waterstone Financial Intangibles 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=intangibles&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "WSBF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();