Waterstone Financial (WSBF) Goodwill & Intangibles (2013 - 2016)
Waterstone Financial's Goodwill & Intangibles came in at $2.26 million for Q4 2016, up 58.9% from $1.42 million a year earlier.
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Analysis
Waterstone Financial (WSBF) Goodwill & Intangibles (2013 - 2016) Analysis & Trends
Going back to Q4 2013, Waterstone Financial's Goodwill & Intangibles data covers 11 quarters.
- Goodwill & Intangibles carries a three-year compound annual growth rate of -12.5% (FY2013 to FY2016).
- Going back by year, Goodwill & 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 represents the highest quarterly Goodwill & Intangibles since Q2 2015.
- Year-over-year, Goodwill & Intangibles increased in three of the last six quarters, with growth averaging 2.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Waterstone Financial | 353.39 Mn | 145.66 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 Goodwill & 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=goodwill-and-intangibles&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();