Jpmorgan Chase (JPM) Net Change in Interest-Bearing Deposits in Banks (2009 - 2017)
Analysis
Jpmorgan Chase (JPM) Net Change in Interest-Bearing Deposits in Banks (2009 - 2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Bank Deposits Chg. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | -11.68 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | - |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 31.52 Bn |
| Sep 30, 2017 | -8.43 Bn |
| Jun 30, 2017 | 12.53 Bn |
| Mar 31, 2017 | -74.15 Bn |
| Dec 31, 2016 | 30.44 Bn |
| Sep 30, 2016 | -50.61 Bn |
| Jun 30, 2016 | 14.60 Bn |
| Mar 31, 2016 | -20.18 Bn |
| Dec 31, 2015 | 36.18 Bn |
| Sep 30, 2015 | 22.61 Bn |
| Jun 30, 2015 | 107.58 Bn |
| Mar 31, 2015 | -21.91 Bn |
| Dec 31, 2014 | -70.17 Bn |
| Sep 30, 2014 | -20.40 Bn |
| Jun 30, 2014 | -21.38 Bn |
| Mar 31, 2014 | -56.48 Bn |
| Dec 31, 2013 | 55.39 Bn |
| Sep 30, 2013 | -60.13 Bn |
| Jun 30, 2013 | -53.69 Bn |
| Mar 31, 2013 | -135.94 Bn |
API Access
Jpmorgan Chase 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=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-change-in-interest-bearing-deposits-in-banks", "ticker": "JPM", "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=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();