Jpmorgan Chase (JPM) Change in Net Loans (2009 - 2018)
Jpmorgan Chase (JPM) recorded Change in Net Loans of $25.22 billion in Q2 2018, up 16.1% from $21.72 billion a year earlier and up 206.5% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Change in Net Loans (2009 - 2018) Analysis & Trends
On a TTM basis, Jpmorgan Chase's Change in Net Loans came in at $70.83 billion as of Jun 30, 2018, up 13.9% year-over-year; for FY2017, it was $61.65 billion, down 23.9% from FY2016.
- Annual Change in Net Loans has a five-year compound annual growth rate of 15.1% (FY2012 to FY2017).
- Across earlier years, Change in Net Loans came in at $81 billion in FY2016 (-25.7%), $108.96 billion in FY2015 (+110.6%), $51.75 billion in FY2014 (+118.2%) and $23.72 billion in FY2013 (-22.2%).
- The Q2 2018 figure is the highest quarterly Change in Net Loans since Q2 2016.
- On a year-over-year basis, Change in Net Loans has increased for three consecutive quarters, with growth averaging 8.1% over the last eight quarters.
- Peak year-over-year performance for Change in Net Loans in the last five years was growth of 469.0% in Q3 2015, against a decline of 84.0% in Q1 2017 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.23 billion (Q1 2018), $22.27 billion (Q4 2017) and $15.12 billion (Q3 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | 6.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 25.22 Bn |
| Mar 31, 2018 | 8.23 Bn |
| Dec 31, 2017 | 22.27 Bn |
| Sep 30, 2017 | 15.12 Bn |
| Jun 30, 2017 | 21.72 Bn |
| Mar 31, 2017 | 2.55 Bn |
| Dec 31, 2016 | 15.79 Bn |
| Sep 30, 2016 | 22.11 Bn |
| Jun 30, 2016 | 27.17 Bn |
| Mar 31, 2016 | 15.93 Bn |
| Dec 31, 2015 | 33.07 Bn |
| Sep 30, 2015 | 30.39 Bn |
| Jun 30, 2015 | 29.74 Bn |
| Mar 31, 2015 | 15.77 Bn |
| Dec 31, 2014 | 21.68 Bn |
| Sep 30, 2014 | 5.34 Bn |
| Jun 30, 2014 | 21.47 Bn |
| Mar 31, 2014 | 3.26 Bn |
| Dec 31, 2013 | 11.82 Bn |
| Sep 30, 2013 | 8.11 Bn |
API Access
Jpmorgan Chase Change in Net Loans 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=change-in-net-loans&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();