Uber Technologies (UBER) Operating Expenses (2018 - 2026)
Uber Technologies' (UBER) quarterly Operating Expenses came in at $12.3 billion in Q2 2026, up 9.82% year-over-year from $11.2 billion in Q2 2025, and up 9.05% quarter-over-quarter from $11.3 billion in Q1 2026.
Uber Technologies (UBER) Operating Expenses (2018 - 2026) Analysis & Trends
Uber Technologies has disclosed Operating Expenses across 9 years of filings, most recently posting $12.3 billion for Q2 2026.
- In Q2 2026, Operating Expenses rose 9.82% year-over-year to $12.3 billion; the TTM figure through Jun 2026 stood at $48.5 billion (up 13.32% YoY), while the FY2025 annual figure was $46.5 billion, up 12.81% from the prior year.
- Operating Expenses came in at $12.3 billion for Q2 2026 at Uber Technologies, up from $11.3 billion in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $12.6 billion in Q4 2025 to a low of $7.3 billion in Q1 2022.
- Average Operating Expenses over 5 years is $10.1 billion, with a median of $9.9 billion recorded in 2024.
- Year-over-year, Operating Expenses soared 71.7% in 2022 and advanced 0.68% in 2023.
- Over 5 years, Operating Expenses stood at $8.7 billion in 2022, then gained by 6.11% to $9.3 billion in 2023, then increased by 20.52% to $11.2 billion in 2024, then grew by 12.54% to $12.6 billion in 2025, then fell by 2.31% to $12.3 billion in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $12.3 billion in Q2 2026, $11.3 billion in Q1 2026, and $12.6 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,144.46 Bn | 3,901.99 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,981.30 Bn | 1,683.82 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 296.22 Bn | 256.42 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 254.92 Bn | 72.79 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 184.25 Bn | 161.43 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.00 Bn | 113.98 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.19 Bn | 56.24 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.41 Bn | -141.52 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 104.89 Bn | 62.12 Bn | 1.86 Bn | 640.46 Mn |
| 10 | AppLovin | 104.19 Bn | 94.23 Bn | 1.70 Bn | 429.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.30 Bn |
| Mar 31, 2026 | 11.28 Bn |
| Dec 31, 2025 | 12.59 Bn |
| Sep 30, 2025 | 12.35 Bn |
| Jun 30, 2025 | 11.20 Bn |
| Mar 31, 2025 | 10.31 Bn |
| Dec 31, 2024 | 11.19 Bn |
| Sep 30, 2024 | 10.13 Bn |
| Jun 30, 2024 | 9.90 Bn |
| Mar 31, 2024 | 9.96 Bn |
| Dec 31, 2023 | 9.28 Bn |
| Sep 30, 2023 | 8.90 Bn |
| Jun 30, 2023 | 8.90 Bn |
| Mar 31, 2023 | 9.09 Bn |
| Dec 31, 2022 | 8.75 Bn |
| Sep 30, 2022 | 8.84 Bn |
| Jun 30, 2022 | 8.79 Bn |
| Mar 31, 2022 | 7.34 Bn |
| Dec 31, 2021 | 6.33 Bn |
| Sep 30, 2021 | 5.42 Bn |
Uber Technologies 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=UBER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UBER", "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=UBER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();