Uber Technologies (UBER) Accumulated Expenses (2018 - 2026)
Uber Technologies' (UBER) quarterly Accumulated Expenses came in at $7.6 billion in Q2 2026, down 9.65% year-over-year from $8.4 billion in Q2 2025, and up 6.02% quarter-over-quarter from $7.1 billion in Q1 2026.
Uber Technologies (UBER) Accumulated Expenses (2018 - 2026) Analysis & Trends
Uber Technologies has disclosed Accumulated Expenses across 9 years of filings, most recently posting $7.6 billion for Q2 2026.
- In Q2 2026, Accumulated Expenses fell 9.65% year-over-year to $7.6 billion; the TTM figure through Jun 2026 stood at $7.6 billion (down 9.65% YoY), while the FY2025 annual figure was $7.8 billion, up 0.81% from the prior year.
- Accumulated Expenses came in at $7.6 billion for Q2 2026 at Uber Technologies, up from $7.1 billion in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $8.6 billion in Q3 2025 to a low of $6.0 billion in Q2 2023.
- Average Accumulated Expenses over 5 years is $7.1 billion, with a median of $6.9 billion recorded in 2024.
- Year-over-year, Accumulated Expenses increased 20.2% in 2024 and fell 12.8% in 2026.
- Over 5 years, Accumulated Expenses stood at $6.2 billion in 2022, then advanced by 2.65% to $6.4 billion in 2023, then grew by 20.2% to $7.7 billion in 2024, then rose by 0.81% to $7.8 billion in 2025, then declined by 2.31% to $7.6 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $7.6 billion in Q2 2026, $7.1 billion in Q1 2026, and $7.8 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,144.46 Bn | 3,901.99 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,981.30 Bn | 1,683.82 Bn | 49.47 Bn |
| 3 | Netflix | 296.22 Bn | 256.42 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 254.92 Bn | 72.79 Bn | 15.11 Bn |
| 5 | Shopify | 184.25 Bn | 161.43 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.00 Bn | 113.98 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.19 Bn | 56.24 Bn | - |
| 8 | PDD Holdings | 110.41 Bn | -141.52 Bn | 9.45 Bn |
| 9 | Spotify Technology | 104.89 Bn | 62.12 Bn | 1.86 Bn |
| 10 | AppLovin | 104.19 Bn | 94.23 Bn | 1.70 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.57 Bn |
| Mar 31, 2026 | 7.14 Bn |
| Dec 31, 2025 | 7.75 Bn |
| Sep 30, 2025 | 8.57 Bn |
| Jun 30, 2025 | 8.38 Bn |
| Mar 31, 2025 | 8.19 Bn |
| Dec 31, 2024 | 7.69 Bn |
| Sep 30, 2024 | 7.33 Bn |
| Jun 30, 2024 | 6.98 Bn |
| Mar 31, 2024 | 6.89 Bn |
| Dec 31, 2023 | 6.40 Bn |
| Sep 30, 2023 | 6.61 Bn |
| Jun 30, 2023 | 6.03 Bn |
| Mar 31, 2023 | 6.12 Bn |
| Dec 31, 2022 | 6.23 Bn |
| Sep 30, 2022 | 6.62 Bn |
| Jun 30, 2022 | 6.47 Bn |
| Mar 31, 2022 | 6.17 Bn |
| Dec 31, 2021 | 6.54 Bn |
| Sep 30, 2021 | 6.27 Bn |
Uber Technologies Accumulated 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=accumulated-expenses&ticker=UBER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=UBER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();