Waterstone Financial (WSBF) Amortizatization of Intangibles (2015 - 2020)
Waterstone Financial (WSBF) posted Amortizatization of Intangibles of $527,000 for Q3 2020, up 808.6% from $58,000 a year earlier and up 268.5% from the prior quarter.
Powered by 
Analysis
Waterstone Financial (WSBF) Amortizatization of Intangibles (2015 - 2020) Analysis & Trends
For the trailing twelve months through Sep 30, 2020, Amortizatization of Intangibles at Waterstone Financial was $788,000, up 271.7% year-over-year; for FY2019, it came in at $181,000, down 5.2% from FY2018.
- Annual Amortizatization of Intangibles shows a four-year compound annual growth rate of -22.1% (FY2015 to FY2019).
- In prior years, Waterstone Financial's Amortizatization of Intangibles was $191,000 in FY2018 (+80.2%), $106,000 in FY2017 (-82.3%), $598,000 in FY2016 (+21.8%) and $491,000 in FY2015.
- The Q3 2020 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to Q3 2015.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last three quarters, with growth averaging 138.4% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q3 2020, with growth of 808.6%; the weakest was Q1 2017, with a decline of 88.4%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $143,000 (Q2 2020), $104,000 (Q1 2020) and $14,000 (Q4 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Waterstone Financial | 358.42 Mn | 150.69 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 527,000.00 |
| Jun 30, 2020 | 143,000.00 |
| Mar 31, 2020 | 104,000.00 |
| Dec 31, 2019 | 14,000.00 |
| Sep 30, 2019 | 58,000.00 |
| Jun 30, 2019 | 42,000.00 |
| Mar 31, 2019 | 67,000.00 |
| Dec 31, 2018 | 45,000.00 |
| Sep 30, 2018 | 57,000.00 |
| Jun 30, 2018 | 40,000.00 |
| Mar 31, 2018 | 49,000.00 |
| Dec 31, 2017 | 35,000.00 |
| Sep 30, 2017 | 22,000.00 |
| Jun 30, 2017 | 30,000.00 |
| Mar 31, 2017 | 19,000.00 |
| Dec 31, 2016 | 85,000.00 |
| Sep 30, 2016 | 124,000.00 |
| Jun 30, 2016 | 225,000.00 |
| Mar 31, 2016 | 164,000.00 |
| Dec 31, 2015 | 69,000.00 |
API Access
Waterstone Financial Amortizatization of 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=amortizatization-of-intangibles&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();