Uber Technologies (UBER) Non Operating Interest Expenses (2018 - 2026)
Uber Technologies' Non Operating Interest Expenses was $127 million in Q2 2026, up 17.6% from $108 million a year earlier and up 17.6% from the prior quarter.
Uber Technologies (UBER) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Uber Technologies' Non Operating Interest Expenses was $462 million through Jun 30, 2026, down 2.3% year-over-year; for FY2025, it came in at $440 million, down 15.9% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $523 million in FY2024 (-17.4%), $633 million in FY2023 (+12.0%), $565 million in FY2022 (+17.0%) and $483 million in FY2021 (+5.5%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q3 2024.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last eight quarters, with an average decline of 9.9%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2023 (growth of 30.2%); the worst was Q1 2024 (a decline of 26.2%).
- Per Business Quant data, UBER's Non Operating Interest Expenses in the three quarters before Q2 2026 was $108 million (Q1 2026), $115 million (Q4 2025) and $112 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,139.30 Bn | 3,896.82 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,802.48 Bn | 1,505.00 Bn | 49.47 Bn | - |
| 3 | Netflix | 295.38 Bn | 255.58 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 253.00 Bn | 66.78 Bn | 15.11 Bn | -346.00 Mn |
| 5 | Shopify | 219.40 Bn | 196.59 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 143.37 Bn | 115.17 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 125.53 Bn | 58.58 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 113.03 Bn | -130.74 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 108.69 Bn | 66.19 Bn | 1.86 Bn | -24.41 Mn |
| 10 | Airbnb | 102.92 Bn | 56.15 Bn | 2.98 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.00 Mn |
| Mar 31, 2026 | 108.00 Mn |
| Dec 31, 2025 | 115.00 Mn |
| Sep 30, 2025 | 112.00 Mn |
| Jun 30, 2025 | 108.00 Mn |
| Mar 31, 2025 | 105.00 Mn |
| Dec 31, 2024 | 117.00 Mn |
| Sep 30, 2024 | 143.00 Mn |
| Jun 30, 2024 | 139.00 Mn |
| Mar 31, 2024 | 124.00 Mn |
| Dec 31, 2023 | 155.00 Mn |
| Sep 30, 2023 | 166.00 Mn |
| Jun 30, 2023 | 144.00 Mn |
| Mar 31, 2023 | 168.00 Mn |
| Dec 31, 2022 | 151.00 Mn |
| Sep 30, 2022 | 146.00 Mn |
| Jun 30, 2022 | 139.00 Mn |
| Mar 31, 2022 | 129.00 Mn |
| Dec 31, 2021 | 130.00 Mn |
| Sep 30, 2021 | 123.00 Mn |
Uber Technologies Non Operating Interest 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=non-operating-interest-expenses&ticker=UBER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=UBER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();