Deutsche Bank Aktiengesellschaft (DB) Amortizatization of Intangibles (2013 - 2017)
Deutsche Bank Aktiengesellschaft's Amortizatization of Intangibles was -$180.33 million in the quarter ended Jun 30, 2017, compared with -$221.46 a year earlier.
Deutsche Bank Aktiengesellschaft (DB) Amortizatization of Intangibles (2013 - 2017) Analysis & Trends
On a trailing twelve-month basis, Deutsche Bank Aktiengesellschaft's Amortizatization of Intangibles was -$568.39 million through Jun 30, 2017.
- Quarterly Amortizatization of Intangibles has moved between -$296.98 million (the quarter ended Sep 30, 2015) and -$221.46 (the quarter ended Jun 30, 2016) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Deutsche Bank Aktiengesellschaft | 66.54 Bn | 68.37 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | -180.33 Mn |
| Sep 30, 2016 | -263.42 Mn |
| Jun 30, 2016 | -221.46 |
| Mar 31, 2016 | -124.64 Mn |
| Sep 30, 2015 | -296.98 Mn |
| Jun 30, 2015 | -219.92 Mn |
| Mar 31, 2015 | -101.68 Mn |
| Sep 30, 2014 | -270.77 Mn |
| Jun 30, 2014 | -231.85 Mn |
| Mar 31, 2014 | -123.33 Mn |
| Sep 30, 2013 | -116.60 Mn |
| Jun 30, 2013 | -52.23 Mn |
| Mar 31, 2013 | -136.00 Mn |
Deutsche Bank Aktiengesellschaft Amortizatization 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=amortizatization-of-intangibles&ticker=DB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "DB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=DB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();