Aurora Innovation, Inc.
- Open
- 6.79
- Day high
- 7.14
- Day low
- 6.75
- Prev close
- 6.82
- Volume
- 7.5M
- Mkt cap
- $13.9B
- P/E (TTM)
- —
- EPS (TTM)
- —
- P/B
- 7.1
- P/S
- 3484.1
- Yield
- —
- Per share
- —
- ▼Insiders net selling -$522.5M over the last 3 months (1 open-market buy, 6 sales)
- 🏛Institutions accumulating (13F)
Aurora Innovation, Inc. (AUR) is a Technology company listed on NASDAQ. The stock is up 35% over the past year. Over the trailing 3 months, insiders filed 1 open-market buy and 6 sales (SEC Form 4).
Aurora Innovation, Inc. (AUR) financials & analyst ratings
Fundamentals (TTM)
Analyst consensus · 6 analysts
Source: exchange market data + company filings. Figures are trailing-twelve-month or as most recently reported. For informational purposes only — not investment advice.
AUR earnings date, history & EPS estimates
| Report date | EPS est | EPS actual | Surprise | Revenue | Rev. surprise |
|---|---|---|---|---|---|
| May 6, 2026 | $-0.12 | $-0.11 | +8.3% | $1M | +3.4% |
| Feb 11, 2026 | $-0.12 | $-0.12 | +0.0% | $1M | -32.1% |
| Jul 30, 2025 | $-0.12 | $-0.11 | +8.3% | $1M | -1.6% |
| May 8, 2025 | $-0.11 | $-0.12 | -4.7% | — | — |
| Feb 12, 2025 | $-0.11 | $-0.11 | +0.0% | — | — |
| Oct 30, 2024 | $-0.11 | $-0.13 | -18.2% | — | — |
| Jul 31, 2024 | $-0.13 | $-0.12 | +7.7% | — | — |
| Feb 14, 2024 | $-0.15 | $-0.13 | +13.3% | — | — |
| Nov 1, 2023 | $-0.15 | $-0.13 | +13.3% | — | — |
| Aug 2, 2023 | $-0.17 | $-0.18 | -5.9% | $21M | — |
| May 3, 2023 | $-0.17 | $-0.17 | +0.0% | — | — |
| Feb 15, 2023 | $-0.17 | $-0.15 | +11.8% | $2M | +848.8% |
AUR insider trading activity (SEC Form 4)
| Date | Insider | Type | Shares | Price |
|---|---|---|---|---|
| Jun 15, 2026 | Wehner David M.director | Buy | 82,500 | $6.04 |
| Jun 4, 2026 | Uber Technologies, Inc10 percent owner | Sell | 67,500,000 | $7.10 |
| May 28, 2026 | Hoffman Reiddirector | Sell | 60,118 | $7.27 |
| May 26, 2026 | Caimi Laradirector | Grant | 73,094 | — |
| May 22, 2026 | Boyland Gloria R.director | Grant | 36,547 | — |
| May 22, 2026 | Hoffman Reiddirector | Grant | 36,547 | — |
| May 22, 2026 | Bagley Brittanydirector | Grant | 36,547 | — |
| May 22, 2026 | WEBB SHELLEYofficer: See Remarks | Tax | 41,698 | $6.94 |
| May 22, 2026 | Maday Davidofficer: Chief Financial Officer | Tax | 54,412 | $6.94 |
| May 22, 2026 | Fisher Ossaofficer: President | Tax | 70,281 | $6.94 |
| May 22, 2026 | Wehner David M.director | Grant | 36,547 | — |
| May 22, 2026 | Donahoe John Jdirector | Grant | 36,547 | — |
| May 19, 2026 | Hoffman Reiddirector | Sell | 17,382 | $7.51 |
| May 19, 2026 | Hoffman Reiddirector | Sell | 4,948,637 | $7.81 |
| May 19, 2026 | Hoffman Reiddirector | Sell | 274,925 | $7.81 |
Source: AUR SEC Form 4 filings, latest Jun 15, 2026. For informational purposes only — not investment advice.
See the full AUR insider & 13F page →Aurora Innovation, Inc. company profile
Overview
Aurora Innovation, Inc. (NASDAQ:AUR) is a self-driving technology company founded in 2017 and headquartered in Pittsburgh, Pennsylvania. The company went public in May 2021 and focuses on developing autonomous vehicle technology specifically for commercial trucking applications. Aurora is currently in the pre-commercial phase, having successfully launched its first driverless commercial trucking operations in 2025 between Dallas and Houston, marking a significant milestone in the autonomous vehicle industry.
Business
Aurora operates in the autonomous vehicle technology sector, specifically focusing on self-driving commercial trucks. The company's core product is the Aurora Driver, a comprehensive autonomous driving platform that integrates hardware, software, and data services to enable fully driverless operation of commercial vehicles. The Aurora Driver represents a complete self-driving system that can be integrated into trucks manufactured by partner companies. Unlike consumer-focused autonomous vehicle projects, Aurora's technology is designed specifically for long-haul trucking operations on highways and interstate routes. The system uses advanced sensors including proprietary LiDAR technology called FirstLight, cameras, and radar to perceive the driving environment, combined with sophisticated artificial intelligence software to make driving decisions. Aurora's business model centers entirely around autonomous trucking services, representing essentially 100% of their commercial focus. The company has moved away from passenger vehicle applications to concentrate exclusively on the commercial trucking market, where they see the most immediate path to profitability and scale. Their technology enables trucks to operate without human drivers on predetermined routes, initially focusing on highway driving between major logistics hubs in Texas and expanding to other Sunbelt corridors.
Revenue model
Aurora's business model is built around providing autonomous trucking services to freight customers and fleet operators. The company plans to generate revenue by charging per-mile rates for autonomous trucking services, similar to traditional freight rates but potentially at premium pricing due to improved safety, fuel efficiency, and operational reliability. The paying customers are logistics companies, freight carriers, and fleet operators such as FedEx, Werner, Schneider, and partnerships through Uber Freight. These customers contract with Aurora to transport freight using autonomous trucks on specific routes. Aurora expects to initially price services competitively with traditional human-driven trucking rates, with the long-term goal of capturing value through operational improvements and cost savings. Several factors could significantly impact Aurora's margins and profitability. Positive factors include the driver shortage in the trucking industry, which creates pricing power for autonomous solutions, potential fuel efficiency gains from optimized driving patterns, reduced labor costs, and the ability to operate trucks continuously without mandated rest periods. The company's proprietary hardware development, particularly their FirstLight LiDAR technology, could provide cost advantages as they scale manufacturing. However, margin pressures could arise from intense competition from other autonomous vehicle companies and traditional trucking operators, high upfront capital costs for hardware and technology development, regulatory changes that could increase compliance costs, and the need for significant insurance coverage for autonomous operations. Additionally, the company's substantial ongoing research and development expenses and the capital-intensive nature of scaling autonomous truck fleets represent ongoing margin challenges until they achieve significant operational scale.
Competitive moat
Aurora's competitive moat appears moderate but faces significant challenges in what remains a highly competitive and evolving market. The company's primary defensive positions include its advanced technology stack with the proprietary FirstLight LiDAR system, which could provide cost advantages over competitors using third-party sensors. Their strategic partnerships with established truck manufacturers PACCAR and Volvo provide important distribution channels and integration capabilities that would be difficult for new entrants to replicate quickly. Aurora has also accumulated substantial real-world operational data from over 2.2 million commercial miles driven and 8,200+ autonomous loads delivered, creating a valuable dataset for improving their AI systems. Their focus on specific geographic corridors allows them to develop deep expertise in particular routes and regulatory environments. However, the moat faces considerable threats. The autonomous vehicle space includes well-funded competitors like Waymo, which has Google's backing and extensive resources, as well as traditional automotive companies investing heavily in autonomous technology. The core technology components like sensors, AI software, and mapping are rapidly commoditizing, reducing barriers to entry. Additionally, Aurora's success depends heavily on regulatory approval and public acceptance, factors largely outside their control. The company's current pre-revenue status and substantial cash burn also limit their ability to sustain competitive advantages through pricing or extended development cycles. While Aurora has achieved important technical milestones, the ultimate strength of their moat will depend on their ability to scale operations profitably and maintain technological leadership in an increasingly crowded field.
Risks & safety
Aurora presents a mixed margin of safety profile with strong liquidity but significant operational risks. **Liquidity and Solvency:** • Strong cash position with $1.2 billion in cash and short-term investments as of Q1 2025 • Very low debt levels with debt-to-equity ratio of 0.064 • Excellent current ratio of 9.54, indicating strong short-term liquidity • Cash expected to fund operations through Q4 2026 based on current burn rate **Cash Burn and Profitability:** • High quarterly cash burn of approximately $175-185 million • Free cash flow of -$150 million in Q1 2025 • No meaningful revenue generation yet (minimal pilot revenue) • Company expects to need additional $650-850 million in funding before achieving positive free cash flow in 2028 **Valuation Concerns:** • Price-to-book ratio of 6.58 appears elevated for a pre-revenue company • Negative EBITDA makes traditional valuation metrics challenging • High cash burn rate creates time pressure for commercial success **Other Considerations:** • Technology and regulatory risks remain substantial • Success depends on successful commercial scaling and market acceptance • Strong balance sheet provides runway but limited time to achieve profitability
Recent development
Over the past few years, Aurora has made significant strategic pivots toward commercial viability and operational focus. The company successfully transitioned from development to actual commercial operations, launching their first driverless trucking service between Dallas and Houston in April 2025. This represents a major milestone, moving from testing to revenue-generating autonomous freight operations. Aurora has strategically narrowed their focus exclusively to commercial trucking, abandoning earlier passenger vehicle ambitions to concentrate resources on the most promising near-term market opportunity. They have built a comprehensive partner ecosystem including truck manufacturers PACCAR and Volvo for vehicle integration, Continental for next-generation hardware development, and NVIDIA for advanced computing systems using the DRIVE Thor platform. The company has developed proprietary technology including their FirstLight LiDAR system and established a systematic approach to safety validation through their Autonomy Readiness Measure (ARM) and Autonomy Performance Indicator (API) metrics. They have expanded their operational footprint beyond the initial Dallas-Houston route to include Fort Worth-El Paso and plan to extend to Phoenix, creating a network of autonomous trucking corridors in the Sunbelt region. Aurora has also demonstrated fiscal discipline by implementing workforce reductions and focusing on cost management while preparing for scaled manufacturing partnerships with companies like Fabrinet. Their development of second and third-generation hardware kits shows commitment to cost reduction and performance improvement as they prepare for larger-scale deployment.
AUR company profile · for informational purposes only — not investment advice.
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