Intercontinental Hotels (IHG) Prepaid Assets (2017 - 2023)
Intercontinental Hotels (IHG) recorded Prepaid Assets of $807 million in the quarter ended Dec 31, 2023, up 15.0% from $702 million a year earlier.
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Analysis
Intercontinental Hotels (IHG) Prepaid Assets (2017 - 2023) Analysis & Trends
Starting with the quarter ended Dec 31, 2017, Intercontinental Hotels' Prepaid Assets history includes 5 quarters.
- Annual Prepaid Assets has a five-year compound annual growth rate of -0.8% (years ended Dec 2018 to Dec 2023).
- Across earlier years, Prepaid Assets came in at $702 million in the year ended Dec 31, 2022 (+14.0%) and $616 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2023 is the highest quarterly Prepaid Assets since the quarter ended Dec 31, 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marriott International | 109.41 Bn | 107.68 Bn | 1.54 Bn |
| 2 | Royal Caribbean Cruises | 89.13 Bn | 86.27 Bn | 2.88 Bn |
| 3 | Hilton Worldwide Holdings | 84.01 Bn | 80.77 Bn | 3.05 Bn |
| 4 | Carnival | 42.11 Bn | 35.32 Bn | - |
| 5 | Viking Holdings | 41.10 Bn | 26.23 Bn | 996.62 Mn |
| 6 | Intercontinental Hotels | 28.99 Bn | 24.96 Bn | - |
| 7 | Trip.com | 27.73 Bn | -17.07 Bn | 1.84 Bn |
| 8 | Hyatt Hotels | 17.88 Bn | 15.61 Bn | 384.00 Mn |
| 9 | H World | 15.43 Bn | 6.85 Bn | 456.00 Mn |
| 10 | U-Haul Holding | 11.92 Bn | 7.43 Bn | 1.64 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 807.00 Mn |
| Dec 31, 2022 | 702.00 Mn |
| Dec 31, 2021 | 616.00 Mn |
| Dec 31, 2018 | 839.00 Mn |
| Dec 31, 2017 | 839.00 Mn |
API Access
Intercontinental Hotels Prepaid Assets 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=prepaid-assets&ticker=IHG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=IHG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();