H World (HTHT) Land & Improvements (2016 - 2018)
H World's Land & Improvements was -$452,680 in the quarter ended Dec 31, 2020, compared with -$425,642 a year earlier.
Analysis
H World (HTHT) Land & Improvements (2016 - 2018) Analysis & Trends
As of Dec 31, 2020, Land & Improvements at H World came in at -$1 million.
- In earlier years, Land & Improvements was $32.01 million in the year ended Dec 31, 2018 (+48.7%), $21.53 million in the year ended Dec 31, 2017 (+2.7%) and $20.96 million in the year ended Dec 31, 2016.
- The figure for the quarter ended Dec 31, 2020 marks the lowest quarterly Land & Improvements since the quarter ended Dec 31, 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Marriott International | 103.13 Bn | 101.17 Bn | 1.55 Bn | - |
| 2 | Hilton Worldwide Holdings | 78.47 Bn | 74.92 Bn | 3.08 Bn | - |
| 3 | Royal Caribbean Cruises | 75.63 Bn | 72.99 Bn | 2.29 Bn | - |
| 4 | Viking Holdings | 37.26 Bn | 22.38 Bn | 996.62 Mn | - |
| 5 | Carnival | 36.04 Bn | 29.22 Bn | - | - |
| 6 | Intercontinental Hotels | 26.07 Bn | 22.04 Bn | - | - |
| 7 | Trip.com | 26.03 Bn | -18.97 Bn | 1.84 Bn | - |
| 8 | Hyatt Hotels | 16.23 Bn | 13.39 Bn | 388.00 Mn | - |
| 9 | H World | 14.27 Bn | 5.68 Bn | 453.94 Mn | - |
| 10 | Norwegian Cruise Line Holdings | 6.99 Bn | 6.22 Bn | 1.05 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 32.00 Mn |
| Sep 30, 2018 | 32.28 Mn |
| Jun 30, 2018 | 20.77 Mn |
| Mar 31, 2018 | 22.12 Mn |
| Dec 31, 2017 | 21.45 Mn |
| Sep 30, 2017 | 21.26 Mn |
| Jun 30, 2017 | 21.07 Mn |
| Mar 31, 2017 | 20.95 Mn |
| Dec 31, 2016 | 20.95 Mn |
API Access
H World Land & Improvements 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=land-and-improvements&ticker=HTHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "HTHT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=HTHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();