Expedia (EXPE) Change in Accured Expenses (2009 - 2026)
Expedia (EXPE) posted Change in Accured Expenses of $281 million for Q2 2026, up 33.2% from $211 million a year earlier.
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Analysis
Expedia (EXPE) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Expedia was $149 million; for FY2025, it was $163 million.
- In prior years, Expedia's Change in Accured Expenses was -$11 million in FY2024, $101 million in FY2023 (-47.9%), $194 million in FY2022 (+42.6%) and $136 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses since Q2 2021.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with an average decline of 28.0%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q1 2022, with growth of 723.5%; the weakest was Q1 2026, with a decline of 98.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $1 million (Q1 2026), -$71 million (Q4 2025) and -$62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | -1.25 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | - |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 447.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 2.38 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | - |
| 10 | Expedia | 30.34 Bn | 5.51 Bn | 3.91 Bn | 281.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 281.00 Mn |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | -71.00 Mn |
| Sep 30, 2025 | -62.00 Mn |
| Jun 30, 2025 | 211.00 Mn |
| Mar 31, 2025 | 85.00 Mn |
| Dec 31, 2024 | -246.00 Mn |
| Sep 30, 2024 | -168.00 Mn |
| Jun 30, 2024 | 184.00 Mn |
| Mar 31, 2024 | 219.00 Mn |
| Dec 31, 2023 | -122.00 Mn |
| Sep 30, 2023 | 48.00 Mn |
| Jun 30, 2023 | 96.00 Mn |
| Mar 31, 2023 | 79.00 Mn |
| Dec 31, 2022 | -228.00 Mn |
| Sep 30, 2022 | -125.00 Mn |
| Jun 30, 2022 | 267.00 Mn |
| Mar 31, 2022 | 280.00 Mn |
| Dec 31, 2021 | -102.00 Mn |
| Sep 30, 2021 | -115.00 Mn |
API Access
Expedia 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=EXPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "EXPE", "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=EXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();