Enterprise Financial Services (EFSC) Net Change in Interest-Bearing Deposits in Banks (2010 - 2018)
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Analysis
Enterprise Financial Services (EFSC) Net Change in Interest-Bearing Deposits in Banks (2010 - 2018) 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 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 76.38 Mn |
| Jun 30, 2018 | 83.96 Mn |
| Mar 31, 2018 | 60.40 Mn |
| Dec 31, 2017 | 61.02 Mn |
| Sep 30, 2017 | 105.18 Mn |
| Jun 30, 2017 | 39.04 Mn |
| Mar 31, 2017 | 134.50 Mn |
| Dec 31, 2016 | 144.07 Mn |
| Sep 30, 2016 | 61.22 Mn |
| Jun 30, 2016 | 59.61 Mn |
| Mar 31, 2016 | 49.79 Mn |
| Dec 31, 2015 | 46.13 Mn |
| Sep 30, 2015 | 80.07 Mn |
| Jun 30, 2015 | 50.25 Mn |
| Mar 31, 2015 | 42.87 Mn |
| Dec 31, 2014 | 57.76 Mn |
| Sep 30, 2014 | 69.66 Mn |
| Jun 30, 2014 | 89.39 Mn |
| Mar 31, 2014 | 102.34 Mn |
| Dec 31, 2013 | 190.92 Mn |
API Access
Enterprise Financial Services 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=EFSC&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": "EFSC", "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=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();