Uber Technologies (UBER) Total Non-Current Liabilities (2018 - 2026)
Uber Technologies (UBER) posted Total Non-Current Liabilities of $37.14 billion for Q2 2026, up 15.8% from $32.07 billion a year earlier and up 9.8% from the prior quarter.
Uber Technologies (UBER) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Uber Technologies' Total Non-Current Liabilities came in at $33.47 billion, up 17.8% from FY2024.
- Annual Total Non-Current Liabilities has increased for six consecutive years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In prior years, Uber Technologies' Total Non-Current Liabilities was $28.41 billion in FY2024 (+9.2%), $26.03 billion in FY2023 (+11.9%), $23.25 billion in FY2022 (+2.4%) and $22.69 billion in FY2021 (+19.6%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 25 quarters, with growth averaging 14.6% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 2.4% (Q4 2022) and 23.8% (Q3 2024) over the last five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $33.83 billion (Q1 2026), $33.47 billion (Q4 2025) and $33.92 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 304.25 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 172.58 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 26.68 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 122.20 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 313.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 41.94 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 5.02 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 6.29 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 37.96 Bn |
| 10 | PDD Holdings | 116.11 Bn | -127.94 Bn | 9.48 Bn | 428.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.94 Bn |
| Jun 30, 2026 | 37.14 Bn |
| Mar 31, 2026 | 33.83 Bn |
| Dec 31, 2025 | 33.47 Bn |
| Sep 30, 2025 | 33.92 Bn |
| Jun 30, 2025 | 32.07 Bn |
| Mar 31, 2025 | 29.60 Bn |
| Dec 31, 2024 | 28.41 Bn |
| Sep 30, 2024 | 30.89 Bn |
| Jun 30, 2024 | 27.63 Bn |
| Mar 31, 2024 | 26.97 Bn |
| Dec 31, 2023 | 26.03 Bn |
| Sep 30, 2023 | 24.95 Bn |
| Jun 30, 2023 | 23.83 Bn |
| Mar 31, 2023 | 23.40 Bn |
| Dec 31, 2022 | 23.25 Bn |
| Sep 30, 2022 | 23.38 Bn |
| Jun 30, 2022 | 22.99 Bn |
| Mar 31, 2022 | 22.52 Bn |
| Dec 31, 2021 | 22.69 Bn |
Uber Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=UBER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=UBER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();