Expedia (EXPE) Operating Expenses (2009 - 2026)
Expedia (EXPE) posted Operating Expenses of $759 million for Q2 2026, down 2.4% from $778 million a year earlier and down 4.8% from the prior quarter.
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Analysis
Expedia (EXPE) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Expedia was $3.04 billion, up 1.2% year-over-year; for FY2025, it was $3 billion, up 0.5% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, Expedia's Operating Expenses was $2.98 billion in FY2024 (+3.6%), $2.88 billion in FY2023 (+9.3%), $2.63 billion in FY2022 (+3.3%) and $2.55 billion in FY2021 (-3.0%).
- Quarterly Operating Expenses has run from a low of $631 million in Q1 2022 to a high of $797 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 1.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2024, with growth of 13.6%; the weakest was Q1 2025, with a decline of 4.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $797 million (Q1 2026), $767 million (Q4 2025) and $717 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Expedia | 30.25 Bn | 5.42 Bn | 3.91 Bn | 759.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 759.00 Mn |
| Mar 31, 2026 | 797.00 Mn |
| Dec 31, 2025 | 767.00 Mn |
| Sep 30, 2025 | 717.00 Mn |
| Jun 30, 2025 | 778.00 Mn |
| Mar 31, 2025 | 734.00 Mn |
| Dec 31, 2024 | 739.00 Mn |
| Sep 30, 2024 | 752.00 Mn |
| Jun 30, 2024 | 719.00 Mn |
| Mar 31, 2024 | 770.00 Mn |
| Dec 31, 2023 | 749.00 Mn |
| Sep 30, 2023 | 728.00 Mn |
| Jun 30, 2023 | 722.00 Mn |
| Mar 31, 2023 | 678.00 Mn |
| Dec 31, 2022 | 680.00 Mn |
| Sep 30, 2022 | 673.00 Mn |
| Jun 30, 2022 | 649.00 Mn |
| Mar 31, 2022 | 631.00 Mn |
| Dec 31, 2021 | 635.00 Mn |
| Sep 30, 2021 | 648.00 Mn |
API Access
Expedia Operating 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=operating-expenses&ticker=EXPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=EXPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();