NatWest (NWG) Amortization - Intangibles (2009 - 2016)
NatWest's Amortization - Intangibles was -$87.03 million in Q4 2016.
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Analysis
NatWest (NWG) Amortization - Intangibles (2009 - 2016) Analysis & Trends
On a trailing twelve-month basis, NatWest's Amortization - Intangibles was $139.05 million through Dec 31, 2016; for FY2013, it was $239.42 million, down 16.2% from FY2012.
- In earlier years, Amortization - Intangibles was $285.84 million in FY2012, -$356.01 million in FY2011, -$582.97 million in FY2010 and -$426.09 million in FY2009.
- The Q4 2016 figure marks the lowest quarterly Amortization - Intangibles since Q3 2011.
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 | NatWest | 74.70 Bn | -793.68 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -87.03 Mn |
| Mar 31, 2016 | -28.67 Mn |
| Dec 31, 2013 | 194.29 Mn |
| Sep 30, 2013 | 60.45 Mn |
| Mar 31, 2013 | -63.74 Mn |
| Dec 31, 2012 | 51.39 Mn |
| Sep 30, 2012 | -74.22 Mn |
| Jun 30, 2012 | -80.76 Mn |
| Mar 31, 2012 | 75.41 Mn |
| Dec 31, 2011 | -83.29 Mn |
| Sep 30, 2011 | -111.12 Mn |
| Jun 30, 2011 | -91.31 Mn |
| Mar 31, 2011 | -70.46 Mn |
| Dec 31, 2010 | -151.67 Mn |
| Sep 30, 2010 | -190.71 Mn |
| Jun 30, 2010 | -126.88 Mn |
| Mar 31, 2010 | -101.45 Mn |
| Dec 31, 2009 | -96.38 Mn |
| Sep 30, 2009 | -119.78 Mn |
| Jun 30, 2009 | -85.17 Mn |
API Access
NatWest 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=NWG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "NWG", "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=NWG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();