TripAdvisor (TRIP) Operating Expenses (2011 - 2026)
TripAdvisor (TRIP) reported Operating Expenses of $404.1 million for Q2 2026, down 3.3% from $418.1 million a year earlier and down 0.9% from the prior quarter.
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Analysis
TripAdvisor (TRIP) Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TripAdvisor's Operating Expenses came in at $1.74 billion, up 2.0% year-over-year; for FY2025, it came in at $1.81 billion, up 3.9% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.74 billion in FY2024 (+4.9%), $1.66 billion in FY2023 (+19.5%), $1.39 billion in FY2022 (+34.7%) and $1.03 billion in FY2021 (+10.7%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 1.6%.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 45.7%); the low point was Q2 2025 (a decline of 9.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $407.6 million (Q1 2026), $445 million (Q4 2025) and $483 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 | TripAdvisor | 984.88 Mn | -3.17 Bn | 410.90 Mn | 404.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 404.10 Mn |
| Mar 31, 2026 | 407.60 Mn |
| Dec 31, 2025 | 445.00 Mn |
| Sep 30, 2025 | 483.00 Mn |
| Jun 30, 2025 | 418.10 Mn |
| Mar 31, 2025 | 413.70 Mn |
| Dec 31, 2024 | 411.00 Mn |
| Sep 30, 2024 | 462.00 Mn |
| Jun 30, 2024 | 461.00 Mn |
| Mar 31, 2024 | 410.00 Mn |
| Dec 31, 2023 | 358.00 Mn |
| Sep 30, 2023 | 469.00 Mn |
| Jun 30, 2023 | 450.00 Mn |
| Mar 31, 2023 | 385.00 Mn |
| Dec 31, 2022 | 366.00 Mn |
| Sep 30, 2022 | 389.00 Mn |
| Jun 30, 2022 | 354.00 Mn |
| Mar 31, 2022 | 282.00 Mn |
| Dec 31, 2021 | 269.00 Mn |
| Sep 30, 2021 | 287.00 Mn |
API Access
TripAdvisor 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=TRIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TRIP", "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=TRIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();