Aurora Innovation (AUR) Total Non-Current Liabilities (2020 - 2026)
Aurora Innovation (AUR) recorded Total Non-Current Liabilities of $184 million in Q2 2026, up 1.1% from $182 million a year earlier but down 10.2% from the prior quarter.
Aurora Innovation (AUR) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Aurora Innovation reported Total Non-Current Liabilities of $188 million, down 12.6% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -26.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $215 million in FY2024 (-4.9%), $226 million in FY2023 (+7.6%), $210 million in FY2022 (-8.7%) and $230 million in FY2021 (-74.3%).
- Quarterly Total Non-Current Liabilities has ranged from $182 million in Q2 2025 to $656.09 million in Q3 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last eight quarters, with an average decline of 4.6%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 7.6% in Q4 2023, against a decline of 74.7% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $205 million (Q1 2026), $188 million (Q4 2025) and $183 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.77 Bn | 5.80 Bn | -5.00 Mn | 184.00 Mn |
| 2 | Mobileye Global | 6.19 Bn | 85.26 Mn | 235.00 Mn | 176.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | 91.09 Mn |
| 4 | WeRide | 1.80 Bn | -1.22 Bn | 12.76 Mn | 18.12 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 742,910.00 |
| 6 | Kodiak AI | 413.59 Mn | -94.53 Mn | - | 285.57 Mn |
| 7 | Serve Robotics | 400.48 Mn | 400.48 Mn | -8.78 Mn | - |
| 8 | Richtech Robotics | 356.77 Mn | 356.77 Mn | 802,000.00 | 1.95 Mn |
| 9 | ECARX Holdings | 332.24 Mn | -29.58 Mn | 44.50 Mn | 268.61 Mn |
| 10 | Palladyne AI | 256.53 Mn | 64.90 Mn | 1.68 Mn | 20.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.00 Mn |
| Mar 31, 2026 | 205.00 Mn |
| Dec 31, 2025 | 188.00 Mn |
| Sep 30, 2025 | 183.00 Mn |
| Jun 30, 2025 | 182.00 Mn |
| Mar 31, 2025 | 229.00 Mn |
| Dec 31, 2024 | 215.00 Mn |
| Sep 30, 2024 | 208.00 Mn |
| Jun 30, 2024 | 186.00 Mn |
| Mar 31, 2024 | 219.00 Mn |
| Dec 31, 2023 | 226.00 Mn |
| Sep 30, 2023 | 209.00 Mn |
| Jun 30, 2023 | 213.00 Mn |
| Mar 31, 2023 | 231.00 Mn |
| Dec 31, 2022 | 210.00 Mn |
| Sep 30, 2022 | 218.76 Mn |
| Jun 30, 2022 | 208.79 Mn |
| Mar 31, 2022 | 237.92 Mn |
| Dec 31, 2021 | 230.00 Mn |
| Sep 30, 2021 | 656.09 Mn |
Aurora Innovation 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=AUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AUR", "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=AUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();