Marriott Vacations Worldwide (VAC) Change in Accured Expenses (2011 - 2026)
Marriott Vacations Worldwide (VAC) posted Change in Accured Expenses of -$55 million for Q2 2026, compared with -$95 million a year earlier.
Marriott Vacations Worldwide (VAC) Change in Accured Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Marriott Vacations Worldwide was $13 million, down 38.1% year-over-year; for FY2025, it was $7 million, down 56.3% from FY2024.
- In prior years, Marriott Vacations Worldwide's Change in Accured Expenses was $16 million in FY2024, -$46 million in FY2023, $112 million in FY2022 (+166.7%) and $42 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$101 million in Q1 2023 to a high of $100 million in Q4 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 22.5%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2024, with growth of 75.4%; the weakest was Q1 2022, with a decline of 58.1%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$47 million (Q1 2026), $79 million (Q4 2025) and $36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Marriott International | 93.60 Bn | 91.65 Bn | 1.55 Bn | - |
| 2 | Royal Caribbean Cruises | 74.32 Bn | 71.90 Bn | 2.29 Bn | 172.00 Mn |
| 3 | Hilton Worldwide Holdings | 72.10 Bn | 68.58 Bn | 3.08 Bn | - |
| 4 | Viking Holdings | 36.31 Bn | 21.43 Bn | 996.62 Mn | 14.30 Mn |
| 5 | Carnival | 34.66 Bn | 27.87 Bn | - | - |
| 6 | Intercontinental Hotels | 26.64 Bn | 22.19 Bn | - | - |
| 7 | Trip.com | 24.74 Bn | -20.81 Bn | 1.84 Bn | - |
| 8 | Hyatt Hotels | 14.98 Bn | 12.46 Bn | 388.00 Mn | - |
| 9 | H World | 12.83 Bn | 3.76 Bn | - | - |
| 10 | Marriott Vacations Worldwide | 3.58 Bn | 2.22 Bn | 1.02 Bn | -55.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -55.00 Mn |
| Mar 31, 2026 | -47.00 Mn |
| Dec 31, 2025 | 79.00 Mn |
| Sep 30, 2025 | 36.00 Mn |
| Jun 30, 2025 | -95.00 Mn |
| Mar 31, 2025 | -13.00 Mn |
| Dec 31, 2024 | 100.00 Mn |
| Sep 30, 2024 | 29.00 Mn |
| Jun 30, 2024 | -53.00 Mn |
| Mar 31, 2024 | -60.00 Mn |
| Dec 31, 2023 | 57.00 Mn |
| Sep 30, 2023 | 26.00 Mn |
| Jun 30, 2023 | -28.00 Mn |
| Mar 31, 2023 | -101.00 Mn |
| Dec 31, 2022 | 60.00 Mn |
| Sep 30, 2022 | 44.00 Mn |
| Jun 30, 2022 | -5.00 Mn |
| Mar 31, 2022 | 13.00 Mn |
| Dec 31, 2021 | 86.00 Mn |
| Sep 30, 2021 | -79.00 Mn |
Marriott Vacations Worldwide Change in Accured 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=change-in-accured-expenses&ticker=VAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "VAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=VAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();