Aurora Innovation (AUR) Operating Expenses (2021 - 2026)
Aurora Innovation (AUR) posted Operating Expenses of $261 million for Q2 2026, up 15.5% from $226 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Aurora Innovation (AUR) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Aurora Innovation was $950 million, up 14.2% year-over-year; for FY2025, it came in at $887 million, up 12.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 32.4% (FY2020 to FY2025).
- In prior years, Aurora Innovation's Operating Expenses was $786 million in FY2024 (-5.9%), $835 million in FY2023 (-56.5%), $1.92 billion in FY2022 (+136.2%) and $813 million in FY2021 (+272.9%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2021.
- On a year-over-year basis, Operating Expenses has increased in each of the last seven quarters, with growth averaging 9.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 17.1%; the weakest was Q2 2024, with a decline of 8.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $239 million (Q1 2026), $233 million (Q4 2025) and $217 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn | 261.00 Mn |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn | 265.00 Mn |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn | -72.09 Mn |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn | -73.92 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | - |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - | 47.18 Mn |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn | 57.29 Mn |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 | 14.07 Mn |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn | -50.70 Mn |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn | 19.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 261.00 Mn |
| Mar 31, 2026 | 239.00 Mn |
| Dec 31, 2025 | 233.00 Mn |
| Sep 30, 2025 | 217.00 Mn |
| Jun 30, 2025 | 226.00 Mn |
| Mar 31, 2025 | 211.00 Mn |
| Dec 31, 2024 | 199.00 Mn |
| Sep 30, 2024 | 196.00 Mn |
| Jun 30, 2024 | 198.00 Mn |
| Mar 31, 2024 | 193.00 Mn |
| Dec 31, 2023 | 198.00 Mn |
| Sep 30, 2023 | 212.00 Mn |
| Jun 30, 2023 | 217.00 Mn |
| Mar 31, 2023 | 208.00 Mn |
| Sep 30, 2022 | 203.00 Mn |
| Jun 30, 2022 | 1.22 Bn |
| Mar 31, 2022 | 185.00 Mn |
| Dec 31, 2021 | 255.72 Mn |
| Sep 30, 2021 | 184.03 Mn |
| Jun 30, 2021 | 181.46 Mn |
API Access
Aurora Innovation Operating 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=operating-expenses&ticker=AUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();