Waterstone Financial (WSBF) Treasury Stock (2012 - 2019)
Waterstone Financial's Treasury Shares came in at $112.34 million for Q2 2019, up 35.8% from $82.7 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) Treasury Stock (2012 - 2019) Analysis & Trends
At the end of FY2018, Waterstone Financial's Treasury Shares was $97.92 million, up 24.4% from FY2017.
- Treasury Shares has increased in each of the last three years, with a five-year compound annual growth rate of 16.7% (FY2013 to FY2018).
- Going back by year, Treasury Shares was $78.74 million in FY2017 (+2.9%), $76.55 million in FY2016 (+5.3%) and $72.69 million in FY2015.
- The Q2 2019 figure represents the highest quarterly Treasury Shares in data going back to Q4 2012.
- Year-over-year, Treasury Shares has increased for nine consecutive quarters, with growth averaging 15.0% over the last eight quarters.
- The year-over-year growth in Treasury Shares has ranged between 1.2% (Q2 2017) and 35.8% (Q2 2019) over the last five years.
- Business Quant data shows WSBF's Treasury Shares at $105.89 million (Q1 2019), $97.92 million (Q4 2018) and $88.18 million (Q3 2018) in the three quarters before Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 179.44 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 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 | - | 43.02 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 132.98 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 136.87 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | -6.39 Bn |
| 10 | Waterstone Financial | 362.38 Mn | 154.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 112.34 Mn |
| Mar 31, 2019 | 105.89 Mn |
| Dec 31, 2018 | 97.92 Mn |
| Sep 30, 2018 | 88.18 Mn |
| Jun 30, 2018 | 82.70 Mn |
| Mar 31, 2018 | 82.46 Mn |
| Dec 31, 2017 | 78.74 Mn |
| Sep 30, 2017 | 78.74 Mn |
| Jun 30, 2017 | 77.46 Mn |
| Mar 31, 2017 | 77.07 Mn |
| Dec 31, 2016 | 76.55 Mn |
| Sep 30, 2016 | 76.55 Mn |
| Jun 30, 2016 | 76.55 Mn |
| Mar 31, 2016 | -77.07 Mn |
| Dec 31, 2015 | 72.69 Mn |
| Sep 30, 2015 | -72.13 Mn |
| Jun 30, 2015 | -55.52 Mn |
| Mar 31, 2015 | -5.35 Mn |
| Dec 31, 2013 | 45.26 Mn |
| Sep 30, 2013 | -45.26 Mn |
API Access
Waterstone Financial Treasury Stock 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=treasury-shares&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();