Waterstone Financial (WSBF) Notes Payables (2012 - 2019)
Waterstone Financial's Notes Payables came in at $13.56 million for Q4 2019, up 168.8% from $5.05 million a year earlier.
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Analysis
Waterstone Financial (WSBF) Notes Payables (2012 - 2019) Analysis & Trends
Going back to Q4 2012, Waterstone Financial's Notes Payables data covers 11 quarters.
- Notes Payables carries a four-year compound annual growth rate of 17.1% (FY2015 to FY2019).
- Going back by year, Notes Payables was $5.05 million in FY2018, $8.16 million in FY2016 (+13.2%) and $7.2 million in FY2015.
- The Q4 2019 figure represents the highest quarterly Notes Payables since Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 13.56 Mn |
| Dec 31, 2018 | 5.05 Mn |
| Dec 31, 2016 | 8.16 Mn |
| Mar 31, 2016 | 12.22 Mn |
| Dec 31, 2015 | 7.20 Mn |
| Jun 30, 2015 | 10.00 Mn |
| Mar 31, 2015 | 50.00 Mn |
| Jun 30, 2014 | 20.69 Mn |
| Mar 31, 2014 | 10.06 Mn |
| Dec 31, 2013 | 21.20 Mn |
| Dec 31, 2012 | 21.20 Mn |
API Access
Waterstone Financial Notes Payables 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=notes-payables&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();