H World (HTHT) Accumulated Expenses (2009 - 2026)
H World (HTHT) posted Accumulated Expenses of $725 million for Q2 2026, up 12.2% from $646 million a year earlier and up 10.4% from the prior quarter.
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Analysis
H World (HTHT) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, H World's Accumulated Expenses came in at $702 million, up 27.9% from FY2024.
- Annual Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In prior years, H World's Accumulated Expenses was $549 million in FY2024 (+19.6%), $459 million in FY2023 (+35.4%), $339 million in FY2022 (+17.7%) and $288 million in FY2021 (-23.0%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last nine quarters, with growth averaging 21.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2023, with growth of 66.6%; the weakest was Q4 2021, with a decline of 22.9%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $657 million (Q1 2026), $700.68 million (Q4 2025) and $558 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marriott International | 108.57 Bn | 106.84 Bn | 1.54 Bn |
| 2 | Royal Caribbean Cruises | 87.25 Bn | 84.19 Bn | 2.88 Bn |
| 3 | Hilton Worldwide Holdings | 83.02 Bn | 79.75 Bn | 3.05 Bn |
| 4 | Carnival | 40.37 Bn | 33.56 Bn | - |
| 5 | Viking Holdings | 38.85 Bn | 23.97 Bn | 996.62 Mn |
| 6 | Trip.com | 29.18 Bn | -15.85 Bn | 1.84 Bn |
| 7 | Intercontinental Hotels | 27.60 Bn | 23.56 Bn | - |
| 8 | Hyatt Hotels | 17.33 Bn | 14.74 Bn | 384.00 Mn |
| 9 | H World | 15.68 Bn | 7.08 Bn | 456.00 Mn |
| 10 | U-Haul Holding | 11.03 Bn | 6.68 Bn | 1.75 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 725.00 Mn |
| Mar 31, 2026 | 657.00 Mn |
| Dec 31, 2025 | 700.68 Mn |
| Sep 30, 2025 | 558.00 Mn |
| Jun 30, 2025 | 646.00 Mn |
| Mar 31, 2025 | 571.00 Mn |
| Dec 31, 2024 | 548.91 Mn |
| Sep 30, 2024 | 484.00 Mn |
| Jun 30, 2024 | 495.00 Mn |
| Mar 31, 2024 | 463.00 Mn |
| Dec 31, 2023 | 458.84 Mn |
| Sep 30, 2023 | 384.00 Mn |
| Jun 30, 2023 | 460.00 Mn |
| Mar 31, 2023 | 493.00 Mn |
| Dec 31, 2022 | 335.63 Mn |
| Sep 30, 2022 | 289.00 Mn |
| Jun 30, 2022 | 342.00 Mn |
| Mar 31, 2022 | 296.00 Mn |
| Dec 31, 2021 | 288.44 Mn |
| Jun 30, 2021 | 337.00 Mn |
API Access
H World Accumulated Expenses 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=accumulated-expenses&ticker=HTHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HTHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();