Trip.com (TCOM) Accumulated Expenses (2014 - 2017)
Trip.com's Accumulated Expenses came in at $453.86 million for Q4 2025, up 21.0% from $375.05 million a year earlier.
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Analysis
Trip.com (TCOM) Accumulated Expenses (2014 - 2017) Analysis & Trends
At the end of FY2025, Trip.com's Accumulated Expenses was $460 million, up 24.7% from FY2024.
- Accumulated Expenses has increased in each of the last nine years, with a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $369 million in FY2024 (+26.4%), $292 million in FY2023 (+145.4%), $119 million in FY2022 (+3.5%) and $115 million in FY2021 (+17.3%).
- The Q4 2025 figure represents the highest quarterly Accumulated Expenses in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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, 2017 | 10.47 Mn |
| Dec 31, 2016 | 14.83 Mn |
| Dec 31, 2015 | 13.05 Mn |
| Dec 31, 2014 | 5.32 Mn |
API Access
Trip.com 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=TCOM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TCOM", "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=TCOM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();