TripAdvisor (TRIP) Other Operating Expenses (2011 - 2026)
TripAdvisor (TRIP) posted Other Operating Expenses of $21.6 million for Q2 2026, up 0.5% from $21.5 million a year earlier but down 13.6% from the prior quarter.
TripAdvisor (TRIP) Other Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at TripAdvisor was $98.6 million, up 8.1% year-over-year; for FY2025, it was $99 million, up 8.8% from FY2024.
- Annual Other Operating Expenses has increased for three consecutive years, though with a five-year compound annual growth rate of -14.8% (FY2020 to FY2025).
- In prior years, TripAdvisor's Other Operating Expenses was $91 million in FY2024 (+13.8%), $80 million in FY2023 (+27.0%), $63 million in FY2022 (-70.3%) and $212 million in FY2021 (-3.6%).
- Quarterly Other Operating Expenses has run from a low of -$125 million in Q4 2023 to a high of $71 million in Q2 2023 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last four quarters, with an average decline of 4.6% over the last seven quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2023, with growth of 34.0%; the weakest was Q4 2022, with a decline of 90.6%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $25 million (Q1 2026), $26 million (Q4 2025) and $26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | TripAdvisor | 980.20 Mn | -3.18 Bn | 410.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.60 Mn |
| Mar 31, 2026 | 25.00 Mn |
| Dec 31, 2025 | 26.00 Mn |
| Sep 30, 2025 | 26.00 Mn |
| Jun 30, 2025 | 21.50 Mn |
| Mar 31, 2025 | 22.70 Mn |
| Dec 31, 2024 | 24.00 Mn |
| Sep 30, 2024 | 23.00 Mn |
| Jun 30, 2024 | 22.00 Mn |
| Mar 31, 2024 | 22.00 Mn |
| Dec 31, 2023 | -125.00 Mn |
| Sep 30, 2023 | 66.00 Mn |
| Jun 30, 2023 | 71.00 Mn |
| Mar 31, 2023 | 68.00 Mn |
| Dec 31, 2022 | 4.80 Mn |
| Sep 30, 2022 | 55.00 Mn |
| Jun 30, 2022 | 53.00 Mn |
| Mar 31, 2022 | 54.00 Mn |
| Dec 31, 2021 | 51.00 Mn |
| Sep 30, 2021 | 52.00 Mn |
TripAdvisor Other 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=other-operating-expenses&ticker=TRIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=TRIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();