Aurora Innovation (AUR) Total Liabilities (2020 - 2026)
Aurora Innovation (AUR) posted Total Liabilities of $214 million for Q2 2026, down 4.0% from $223 million a year earlier and down 3.2% from the prior quarter.
Aurora Innovation (AUR) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Aurora Innovation's Total Liabilities came in at $203 million, down 22.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -25.7% (FY2020 to FY2025).
- In prior years, Aurora Innovation's Total Liabilities was $263 million in FY2024 (+5.2%), $250 million in FY2023 (+15.2%), $217 million in FY2022 (-37.6%) and $348 million in FY2021 (-61.2%).
- Quarterly Total Liabilities has run from a low of $197 million in Q2 2024 to a high of $688.21 million in Q3 2021 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 23.8%; the weakest was Q1 2022, with a decline of 75.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $221 million (Q1 2026), $203 million (Q4 2025) and $219 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.77 Bn | 5.80 Bn | -5.00 Mn | 214.00 Mn |
| 2 | Mobileye Global | 6.19 Bn | 85.26 Mn | 235.00 Mn | 628.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | 93.01 Mn |
| 4 | WeRide | 1.80 Bn | -1.22 Bn | 12.76 Mn | 199.75 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 7.12 Mn |
| 6 | Kodiak AI | 413.59 Mn | -94.53 Mn | - | 383.30 Mn |
| 7 | Serve Robotics | 400.48 Mn | 400.48 Mn | -8.78 Mn | 26.83 Mn |
| 8 | Richtech Robotics | 356.77 Mn | 356.77 Mn | 802,000.00 | 4.35 Mn |
| 9 | ECARX Holdings | 332.24 Mn | -29.58 Mn | 44.50 Mn | 1.25 Bn |
| 10 | Palladyne AI | 256.53 Mn | 64.90 Mn | 1.68 Mn | 23.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 214.00 Mn |
| Mar 31, 2026 | 221.00 Mn |
| Dec 31, 2025 | 203.00 Mn |
| Sep 30, 2025 | 219.00 Mn |
| Jun 30, 2025 | 223.00 Mn |
| Mar 31, 2025 | 286.00 Mn |
| Dec 31, 2024 | 263.00 Mn |
| Sep 30, 2024 | 247.00 Mn |
| Jun 30, 2024 | 197.00 Mn |
| Mar 31, 2024 | 231.00 Mn |
| Dec 31, 2023 | 250.00 Mn |
| Sep 30, 2023 | 220.00 Mn |
| Jun 30, 2023 | 229.00 Mn |
| Mar 31, 2023 | 238.00 Mn |
| Dec 31, 2022 | 217.00 Mn |
| Sep 30, 2022 | 221.16 Mn |
| Jun 30, 2022 | 211.43 Mn |
| Mar 31, 2022 | 238.99 Mn |
| Dec 31, 2021 | 348.00 Mn |
| Sep 30, 2021 | 688.21 Mn |
Aurora Innovation Total 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-liabilities&ticker=AUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=AUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();