Jpmorgan Chase (JPM) Amortization - Intangibles (2009 - 2014)
Jpmorgan Chase's Amortization - Intangibles came in at $51 million for Q3 2014, down 63.6% from $140 million a year earlier and down 61.4% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Amortization - Intangibles (2009 - 2014) Analysis & Trends
Over the trailing twelve months to Sep 30, 2014, Jpmorgan Chase reported Amortization - Intangibles of $507 million, down 39.3% year-over-year; for FY2013, it came in at $637 million, down 33.4% from FY2012.
- Amortization - Intangibles carries a four-year compound annual growth rate of -11.7% (FY2009 to FY2013).
- Going back by year, Amortization - Intangibles was $957 million in FY2012 (+12.9%), $848 million in FY2011 (-9.4%), $936 million in FY2010 (-10.9%) and $1.05 billion in FY2009.
- The Q3 2014 figure represents the lowest quarterly Amortization - Intangibles in data going back to Q1 2009.
- Year-over-year, Amortization - Intangibles has declined for seven consecutive quarters, with an average decline of 14.6% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q4 2012 (growth of 88.9%), and the weakest in Q3 2014 (a decline of 63.6%).
- Business Quant data shows JPM's Amortization - Intangibles at $132 million (Q2 2014), $131 million (Q1 2014) and $193 million (Q4 2013) in the three quarters before Q3 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 51.00 Mn |
| Jun 30, 2014 | 132.00 Mn |
| Mar 31, 2014 | 131.00 Mn |
| Dec 31, 2013 | 193.00 Mn |
| Sep 30, 2013 | 140.00 Mn |
| Jun 30, 2013 | 152.00 Mn |
| Mar 31, 2013 | 152.00 Mn |
| Dec 31, 2012 | 391.00 Mn |
| Sep 30, 2012 | 182.00 Mn |
| Jun 30, 2012 | 191.00 Mn |
| Mar 31, 2012 | 193.00 Mn |
| Dec 31, 2011 | 207.00 Mn |
| Sep 30, 2011 | 212.00 Mn |
| Jun 30, 2011 | 212.00 Mn |
| Mar 31, 2011 | 217.00 Mn |
| Dec 31, 2010 | 240.00 Mn |
| Sep 30, 2010 | 218.00 Mn |
| Jun 30, 2010 | 235.00 Mn |
| Mar 31, 2010 | 243.00 Mn |
| Dec 31, 2009 | 256.00 Mn |
API Access
Jpmorgan Chase Amortization - Intangibles 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=amortization-intangibles&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();