GreenTree Hospitality (GHG) Short-Term Debt repayments (2017 - 2024)
GreenTree Hospitality's Short-Term Debt repayments was -$27,400 in Q4 2024, compared with -$1.08 million a year earlier.
Analysis
GreenTree Hospitality (GHG) Short-Term Debt repayments (2017 - 2024) Analysis & Trends
For FY2024, Short-Term Debt repayments at GreenTree Hospitality came in at -$16.06 million.
- In earlier years, Short-Term Debt repayments was -$64.55 million in FY2023, -$90.18 million in FY2022, -$39.23 million in FY2021 and -$10.73 million in FY2020.
- The Q4 2024 figure marks the highest quarterly Short-Term Debt repayments in data going back to Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Marriott International | 92.75 Bn | 90.79 Bn | 1.55 Bn | - |
| 2 | Hilton Worldwide Holdings | 71.81 Bn | 68.29 Bn | 3.08 Bn | - |
| 3 | Royal Caribbean Cruises | 71.17 Bn | 68.75 Bn | 2.29 Bn | - |
| 4 | Viking Holdings | 35.31 Bn | 20.44 Bn | 996.62 Mn | - |
| 5 | Carnival | 33.05 Bn | 26.25 Bn | - | - |
| 6 | Intercontinental Hotels | 26.49 Bn | 22.05 Bn | - | - |
| 7 | Trip.com | 25.40 Bn | -20.15 Bn | 1.84 Bn | - |
| 8 | Hyatt Hotels | 14.95 Bn | 12.43 Bn | 388.00 Mn | - |
| 9 | H World | 13.15 Bn | 4.07 Bn | - | - |
| 10 | GreenTree Hospitality | 106.14 Mn | 110.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -27,400.00 |
| Dec 31, 2023 | -1.08 Mn |
| Sep 30, 2023 | -40.60 Mn |
| Jun 30, 2023 | -2.54 Mn |
| Mar 31, 2023 | -19.97 Mn |
| Dec 31, 2022 | -56.90 Mn |
| Sep 30, 2022 | -4.64 Mn |
| Dec 31, 2021 | -31.38 Mn |
| Sep 30, 2021 | -7.76 Mn |
| Dec 31, 2020 | -9.05 Mn |
| Sep 30, 2020 | -1.47 Mn |
| Dec 31, 2017 | -9.29 Mn |
API Access
GreenTree Hospitality Short-Term Debt repayments 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=short-term-debt-repayments&ticker=GHG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "GHG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=GHG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();