NatWest (NWG) Selling, General & Administrative (2009 - 2017)
NatWest's Selling, General & Administrative came in at -$2.61 billion for Q1 2017, compared with -$3.18 billion a year earlier.
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Analysis
NatWest (NWG) Selling, General & Administrative (2009 - 2017) Analysis & Trends
Over the trailing twelve months to Mar 31, 2017, NatWest reported Selling, General & Administrative of -$14.35 billion; for FY2016, it came in at -$8.75 billion.
- The Q1 2017 figure represents the highest quarterly Selling, General & Administrative since Q3 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | -86.30 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 | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 5.65 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | NatWest | 72.69 Bn | -795.69 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | -2.61 Bn |
| Dec 31, 2016 | -8.75 Bn |
| Mar 31, 2016 | -3.18 Bn |
| Sep 30, 2015 | 200.01 Mn |
| Jun 30, 2015 | 702.55 Mn |
| Sep 30, 2014 | 1.30 Bn |
| Mar 31, 2013 | -1.55 Mn |
| Mar 31, 2012 | 1.57 Mn |
| Mar 31, 2010 | -257.53 Mn |
| Dec 31, 2009 | -361.00 Mn |
| Sep 30, 2009 | 526.70 Mn |
| Jun 30, 2009 | 545.07 Mn |
| Mar 31, 2009 | -537.43 Mn |
API Access
NatWest Selling, General & Administrative 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=selling-general-and-administrative&ticker=NWG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=NWG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();