Waterstone Financial (WSBF) Net Change in Interest-Bearing Deposits in Banks (2016 - 2023)
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Analysis
Waterstone Financial (WSBF) Net Change in Interest-Bearing Deposits in Banks (2016 - 2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Bank Deposits Chg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 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 | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | -11.68 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, 2023 | -470,000.00 |
| Sep 30, 2023 | 670,000.00 |
| Jun 30, 2023 | 170,000.00 |
| Mar 31, 2023 | 885,000.00 |
| Dec 31, 2022 | 517,000.00 |
| Sep 30, 2022 | 250,000.00 |
| Jun 30, 2022 | -266,000.00 |
| Mar 31, 2022 | -102,000.00 |
| Dec 31, 2020 | -177,000.00 |
| Sep 30, 2020 | -90,000.00 |
| Jun 30, 2020 | -117,000.00 |
| Mar 31, 2020 | -38,000.00 |
| Dec 31, 2019 | 72,000.00 |
| Sep 30, 2019 | -44,000.00 |
| Jun 30, 2019 | 103,000.00 |
| Mar 31, 2019 | 33,000.00 |
| Dec 31, 2018 | 241,000.00 |
| Sep 30, 2018 | 119,000.00 |
| Jun 30, 2018 | 131,000.00 |
| Mar 31, 2018 | 18,000.00 |
API Access
Waterstone Financial Net Change in Interest-Bearing Deposits in Banks 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=net-change-in-interest-bearing-deposits-in-banks&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-change-in-interest-bearing-deposits-in-banks", "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=net-change-in-interest-bearing-deposits-in-banks&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();