Jpmorgan Chase (JPM) Amortization of Intangibles (2009 - 2014)
Jpmorgan Chase (JPM) reported Amortization of Intangibles of $51 million for Q3 2014, down 63.6% from $140 million a year earlier and down 61.4% from the prior quarter.
Jpmorgan Chase (JPM) Amortization of Intangibles (2009 - 2014) Analysis & Trends
Over the twelve months ended Sep 30, 2014, Jpmorgan Chase's Amortization of Intangibles came in at $507 million, down 39.3% year-over-year; for FY2013, it was $637 million, down 33.4% from FY2012.
- Amortization of Intangibles has a four-year compound annual growth rate of -11.7% (FY2009 to FY2013).
- By year, Amortization of Intangibles came in at $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 ranks as the lowest quarterly Amortization of Intangibles in data going back to Q1 2009.
- Year over year, Amortization of Intangibles has now declined in each of the last seven quarters, with an average decline of 14.6% over the last eight quarters.
- The high point for year-over-year Amortization of Intangibles in five years was Q4 2012 (growth of 88.9%); the low point was Q3 2014 (a decline of 63.6%).
- Per Business Quant data, the three quarters before Q3 2014 came in at $132 million (Q2 2014), $131 million (Q1 2014) and $193 million (Q4 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | - | - |
| 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
| 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 |
Jpmorgan Chase Amortization of 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-of-intangibles&ticker=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-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-of-intangibles&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();