Uber Technologies (UBER) Operating Expenses (2018 - 2026)
Uber Technologies (UBER) posted Operating Expenses of $12.3 billion for Q2 2026, up 9.8% from $11.2 billion a year earlier and up 9.1% from the prior quarter.
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Analysis
Uber Technologies (UBER) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Uber Technologies was $48.53 billion, up 13.3% year-over-year; for FY2025, it was $46.45 billion, up 12.8% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In prior years, Uber Technologies' Operating Expenses was $41.18 billion in FY2024 (+13.8%), $36.17 billion in FY2023 (+7.3%), $33.71 billion in FY2022 (+58.3%) and $21.29 billion in FY2021 (+33.0%).
- Quarterly Operating Expenses has run from a low of $5.42 billion in Q3 2021 to a high of $12.59 billion in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 21 quarters, with growth averaging 13.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 0.7% in Q3 2023 to 71.7% in Q2 2022.
- According to Business Quant data, Operating Expenses for the three prior quarters was $11.28 billion (Q1 2026), $12.59 billion (Q4 2025) and $12.35 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,139.30 Bn | 3,896.82 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,802.48 Bn | 1,505.00 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 295.38 Bn | 255.58 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 253.00 Bn | 66.78 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 219.40 Bn | 196.59 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 143.37 Bn | 115.17 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 125.53 Bn | 58.58 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.03 Bn | -130.74 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 108.69 Bn | 66.19 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Airbnb | 102.92 Bn | 56.15 Bn | 2.98 Bn | 2.85 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();