Intercontinental Hotels (IHG) Selling, General & Administrative (2009 - 2017)
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Analysis
Intercontinental Hotels (IHG) Selling, General & Administrative (2009 - 2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Marriott International | 90.76 Bn | 90.30 Bn | 1.97 Bn | 220.00 Mn |
| 2 | Hilton Worldwide Holdings | 69.62 Bn | 68.64 Bn | 3.08 Bn | 114.00 Mn |
| 3 | Royal Caribbean Cruises | 62.81 Bn | 62.11 Bn | 2.29 Bn | 513.00 Mn |
| 4 | Viking Holdings | 36.53 Bn | 32.54 Bn | 996.62 Mn | -268.67 Mn |
| 5 | Carnival | 30.52 Bn | 28.29 Bn | - | 863.00 Mn |
| 6 | Trip.com | 26.54 Bn | 15.10 Bn | 1.84 Bn | -933.00 Mn |
| 7 | Intercontinental Hotels | 25.51 Bn | 24.46 Bn | - | - |
| 8 | Hyatt Hotels | 14.88 Bn | 14.59 Bn | 809.00 Mn | 180.00 Mn |
| 9 | H World | 13.31 Bn | 11.22 Bn | 453.94 Mn | -102.00 Mn |
| 10 | Atour Lifestyle Holdings | 8.31 Bn | 7.47 Bn | 511.83 Mn | -19.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -161.00 Mn |
| Dec 31, 2012 | -114.00 Mn |
| Sep 30, 2012 | -101.00 Mn |
| Jun 30, 2012 | -86.00 Mn |
| Mar 31, 2012 | -87.00 Mn |
| Dec 31, 2011 | -77.00 Mn |
| Sep 30, 2011 | -93.00 Mn |
| Jun 30, 2011 | -125.00 Mn |
| Mar 31, 2011 | -103.00 Mn |
| Dec 31, 2010 | -127.00 Mn |
| Sep 30, 2010 | -94.00 Mn |
| Jun 30, 2010 | -70.00 Mn |
| Mar 31, 2010 | -75.00 Mn |
| Dec 31, 2009 | -123.00 Mn |
| Sep 30, 2009 | -84.00 Mn |
| Jun 30, 2009 | -80.00 Mn |
| Mar 31, 2009 | -99.00 Mn |
API Access
Intercontinental Hotels 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=IHG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "IHG", "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=IHG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();