Ebay (EBAY) Operating Expenses (2009 - 2026)
Ebay (EBAY) posted Operating Expenses of $1.6 billion for Q2 2026, down 2.98% on a QoQ basis from $1.7 billion in Q1 2026, and up 8.33% year-over-year from $1.5 billion in Q2 2025.
Ebay (EBAY) Operating Expenses (2009 - 2026) Analysis & Trends
Ebay has reported Operating Expenses for 18 years, with the latest figure at $1.6 billion in Q2 2026.
- On a quarterly basis, Operating Expenses rose 8.33% year-over-year to $1.6 billion in Q2 2026; TTM through Jun 2026 was $6.2 billion, a 16.64% increase from a year earlier, with the FY2025 full-year figure at $5.7 billion, up 11.19% from the prior year.
- Operating Expenses was $1.6 billion for Q2 2026 at Ebay, down from $1.7 billion in the prior quarter.
- The five-year high for Operating Expenses was $1.7 billion in Q1 2026, with the low at $1.1 billion in Q1 2022.
- Average Operating Expenses over 5 years is $1.3 billion, with a median of $1.3 billion recorded in 2023.
- The sharpest annual moves came in 2024 and 2026: Operating Expenses retreated 8.6% in 2024, then surged 31.25% in 2026.
- Over 5 years, Operating Expenses stood at $1.3 billion in 2022, then grew by 14.08% to $1.4 billion in 2023, then retreated by 8.6% to $1.3 billion in 2024, then advanced by 14.95% to $1.5 billion in 2025, then grew by 7.33% to $1.6 billion in 2026.
- The last three Operating Expenses figures came in at $1.6 billion (Q2 2026), $1.7 billion (Q1 2026), and $1.5 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alibaba Group Holding | 263.05 Bn | 227.79 Bn | 15.11 Bn | -8.86 Bn |
| 2 | Booking Holdings | 126.16 Bn | 108.94 Bn | 4.98 Bn | 4.85 Bn |
| 3 | PDD Holdings | 112.31 Bn | 82.02 Bn | 9.45 Bn | -5.39 Bn |
| 4 | Airbnb | 98.07 Bn | 86.00 Bn | 2.98 Bn | 2.85 Bn |
| 5 | Mercadolibre | 90.61 Bn | 75.42 Bn | 4.16 Bn | 3.48 Bn |
| 6 | Ebay | 49.77 Bn | 46.46 Bn | 2.30 Bn | 1.63 Bn |
| 7 | Expedia | 31.98 Bn | 24.85 Bn | 3.91 Bn | 2.55 Bn |
| 8 | Maplebear | 10.57 Bn | 9.72 Bn | 751.00 Mn | 608.00 Mn |
| 9 | Full Truck Alliance | 7.59 Bn | 6.63 Bn | - | -279.73 Mn |
| 10 | Etsy | 6.70 Bn | 5.58 Bn | 484.05 Mn | 358.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Bn |
| Mar 31, 2026 | 1.68 Bn |
| Dec 31, 2025 | 1.52 Bn |
| Sep 30, 2025 | 1.42 Bn |
| Jun 30, 2025 | 1.50 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.32 Bn |
| Sep 30, 2024 | 1.25 Bn |
| Jun 30, 2024 | 1.29 Bn |
| Mar 31, 2024 | 1.23 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.34 Bn |
| Jun 30, 2023 | 1.30 Bn |
| Mar 31, 2023 | 1.25 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 1.23 Bn |
| Mar 31, 2022 | 1.10 Bn |
| Dec 31, 2021 | 1.23 Bn |
| Sep 30, 2021 | 1.16 Bn |
Ebay 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=EBAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EBAY", "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=EBAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();