Uber Technologies (UBER) Net Long-Term Debt Issued (Repaid) (2018 - 2026)
Uber Technologies (UBER) posted Non-Current Debt of $10.73 billion for Q2 2026, up 12.0% from $9.58 billion a year earlier and up 2.0% from the prior quarter.
Uber Technologies (UBER) Net Long-Term Debt Issued (Repaid) (2018 - 2026) Analysis & Trends
At the end of FY2025, Uber Technologies' Non-Current Debt came in at $10.52 billion, up 26.0% from FY2024.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior years, Uber Technologies' Non-Current Debt was $8.35 billion in FY2024 (-11.8%), $9.46 billion in FY2023 (+2.1%), $9.27 billion in FY2022 (-0.1%) and $9.28 billion in FY2021 (+22.7%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Debt since Q3 2024.
- On a year-over-year basis, Non-Current Debt has increased in each of the last three quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q3 2021, with growth of 39.2%; the weakest was Q4 2024, with a decline of 11.8%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $10.51 billion (Q1 2026), $10.52 billion (Q4 2025) and $10.62 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 25.37 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | -964.00 Mn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 992.55 Mn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | - |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 3.10 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | - |
| 10 | PDD Holdings | 116.11 Bn | -127.94 Bn | 9.48 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.10 Bn |
| Jun 30, 2026 | -2.04 Bn |
| Mar 31, 2026 | -40.00 Mn |
| Dec 31, 2025 | -1.20 Bn |
| Sep 30, 2025 | 995.00 Mn |
| Jun 30, 2025 | -28.00 Mn |
| Mar 31, 2025 | -47.00 Mn |
| Dec 31, 2024 | -2.05 Bn |
| Sep 30, 2024 | 1.95 Bn |
| Jun 30, 2024 | -42.00 Mn |
| Mar 31, 2024 | -48.00 Mn |
| Dec 31, 2023 | 150.00 Mn |
| Sep 30, 2023 | -67.00 Mn |
| Jun 30, 2023 | -49.00 Mn |
| Mar 31, 2023 | -56.00 Mn |
| Dec 31, 2022 | -117.00 Mn |
| Sep 30, 2022 | -39.00 Mn |
| Jun 30, 2022 | -40.00 Mn |
| Mar 31, 2022 | -68.00 Mn |
| Dec 31, 2021 | -200.00 Mn |
Uber Technologies Net Long-Term Debt Issued (Repaid) 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-current-debt&ticker=UBER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=UBER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();