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  4. AEye, Inc. (LIDR) Q4 2025 Earnings Call Transcript

AEye, Inc. (LIDR) Q4 2025 Earnings Call Transcript

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LIDR
AEye Inc
1.34 USD
0.00%

Access earnings results, analyst expectations, report, slides, earnings call, and transcript.

Overview

The earnings call highlights a significant increase in customer base and active engagements, a deepened partnership with NVIDIA, and high interest in LiDAR technology at CES. The company is well-capitalized, with low CapEx, and anticipates revenue from recent wins. The Q&A section confirms positive market sentiment, with analysts showing interest in partnerships and growth prospects. Despite some unclear guidance, the overall sentiment is positive, likely leading to a stock price increase.

Key Financial Performance

Cash, Cash Equivalents, and Marketable Securities $86.5 million at the end of 2025, providing operational runway well into 2028. This was achieved by raising an additional $10 million during the fourth quarter and leveraging Tier 1 manufacturing partners to maintain the lowest burn rate among peers.

Fourth Quarter GAAP Operating Expenses $8.3 million, up from $7.8 million in the third quarter of 2025. The increase was primarily due to increased engineering spend and one-time payroll costs.

Fourth Quarter Non-GAAP Operating Expenses $7.5 million, an increase of $1.4 million compared to the prior quarter's $6.1 million. This was driven by increased engineering costs and one-time payroll expenses.

Fourth Quarter GAAP Net Loss $7.3 million or $0.17 per share, compared to $9.3 million or $0.30 per share in the third quarter of 2025. The decrease was due to smaller changes in the fair value of convertible notes and warrants, as well as the full repayment of the convertible note.

Fourth Quarter Non-GAAP Net Loss $6.8 million or $0.15 per share, compared to $5.4 million or $0.17 per share in the prior quarter. The increase was driven by increased contract development expenses and one-time payroll costs.

Cash Burn Increased to $7.5 million in the fourth quarter from $6.4 million in the third quarter of 2025. This was primarily due to increased engineering costs, professional services, insurance premiums, and purchases of long-lead components.

Apollo Units Shipped Highest number in company history during Q4 2025, reflecting increased customer readiness and execution capability.

Active Customer Count Increased from 12 to 16 since the last earnings call, with active engagements up over 40% and quarter-over-quarter growth of more than 30%.

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Operating Highlights

Launch of new products: Introduced OPTIS, a fully integrated physical AI solution, and STRATOS, a third-generation LiDAR sensor with a 1.5-kilometer detection range and twice the resolution of the Apollo sensor.

Product differentiation: STRATOS offers a 500-meter range behind glass, simplifying weather mitigation and aesthetic compromises for OEMs. It is built on a 1550-nanometer architecture for improved long-range detection and classification.

Manufacturing capacity: Secured capacity for 60,000 Apollo units annually through Tier 1 manufacturing partner LITEON.

Market expansion: Entered a new strategic partnership with a distributor to unlock opportunities outside the U.S. and signed an LOI with an IT attributions provider for opportunities in Korea and APAC.

Sector-specific growth: Engaged in defense, aviation, long-haul trucking, rail, and transportation infrastructure sectors. Secured a $30 million revenue opportunity with a global transportation OEM and completed a POC in Australia.

CES 2026 leads: Generated over 130 high-quality leads across automotive, trucking, and physical AI-driven markets.

Financial stability: Ended 2025 with $86.5 million in cash, providing operational runway into 2028. Simplified capital structure by repaying convertible notes and eliminating legacy warrants.

Cost management: Maintained the lowest burn rate among peers by leveraging Tier 1 manufacturing partners and off-the-shelf components.

Customer engagement: Active customer count grew from 12 to 16, with active engagements up over 40% quarter-over-quarter.

Strategic partnerships: Expanded ecosystem through partnerships with NVIDIA, Flasheye, Blue-Band, Black Sesame Technologies, and Vueron for various applications.

Focus on non-automotive sectors: Diversified go-to-market strategy with emphasis on non-automotive sectors like smart cities, defense, and industrial automation.

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Risk or Challenges

Market Conditions: The LiDAR sector has undergone significant consolidation, which could impact competition and market dynamics.

Regulatory Hurdles: The company operates in sectors like defense and transportation, which may face stringent regulatory requirements.

Supply Chain Disruptions: While the company has a globally diversified supply chain, geopolitical risks and shifting trade policies could pose challenges.

Economic Uncertainties: Increased engineering costs, professional services, and insurance premiums have contributed to higher cash burn, which could be exacerbated by broader economic uncertainties.

Strategic Execution Risks: The company is in the early stages of revenue ramp and faces challenges in converting engagements into deployment phases to build a durable revenue stream.

Competitive Pressures: The company must maintain its technological edge and cost competitiveness in a rapidly evolving and competitive LiDAR market.

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Guidance & Outlook

Revenue Opportunity: AEye expects to enter a broader phase of deployment for a major global transportation OEM program in the second half of 2026, representing a $30 million revenue opportunity.

Market Trends and Growth: The physical AEye market is estimated to represent a $5 billion market today, with a potential $1 trillion opportunity by 2035, according to Barclays. AEye's software-defined LiDAR architecture positions it as a core enabling layer of this emerging ecosystem.

Product Launch and Capabilities: The launch of STRATOS, a third-generation LiDAR sensor, offers a 1.5-kilometer detection range and resolution greater than twice that of the Apollo sensor. It is designed to meet automotive OEM requirements and simplify weather mitigation.

Manufacturing and Supply Chain: Through its Tier 1 manufacturing partner, LITEON, AEye has secured a dedicated manufacturing capacity of 60,000 Apollo units annually. The supply chain is globally diversified to mitigate geopolitical risks.

Partnerships and Ecosystem Expansion: AEye is joining NVIDIA Halos AI systems Inspection Lab and has expanded its ecosystem through partnerships with companies like Flasheye, Blue-Band, Black Sesame Technologies, and Vueron to address various applications such as ITS, airport security, and high-speed rail.

Cash Burn and Financial Outlook: AEye expects full-year 2026 cash burn to be within the range of $30 million to $35 million, reflecting increased investment in sales, marketing, and operational scaling.

Revenue Growth and Deployment: AEye anticipates increasing momentum towards a revenue generation inflection point in 2026 as technical engagements translate into volume commitments and a durable revenue ramp.

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Shareholder Return Plan

The selected topic was not discussed during the call.

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Key Q&A

Q:Can you talk about the big jump in your customer base this quarter and provide more details on your pipeline?
A:The company saw a significant increase in its customer base, reaching 16 active customers. This growth reflects increased activity and business opportunities in the non-automotive pipeline. There has been a rise in customer interest and outbound proposals, which are translating into paid proof-of-concept (POC) projects across various market segments.
Q:Are there any new developments on the NVIDIA partnership, and how do you see it adding value in 2026 and beyond?
A:The relationship with NVIDIA has deepened, as evidenced by the integration of Apollo with NVIDIA's DRIVE AGX Thor platform at CES and NVIDIA joining the Halos AI Lab. This partnership enhances the company's commitment to quality, safety, and readiness in the automotive process, showcasing NVIDIA's interest in Apollo and AEye's products.
Q:Can you talk about any pull-through from LiDAR at CES?
A:The company experienced significant interest in LiDAR at CES, with a high volume of visitors and leads (approximately 130 leads). There was notable interest from automotive OEMs, trucking, and other sectors. The partnership with LITEON impressed OEMs, enhancing credibility and showcasing readiness for mass manufacturability.
Q:What is your capital raising strategy for 2026?
A:The company is well-capitalized with $87 million in cash, providing a runway into 2028. The focus is on strategic optionality and pushing commercial traction. Capital raising will be considered if it aligns with growth opportunities and shareholder value.
Q:What kind of CapEx range are you modeling for 2026?
A:The CapEx is expected to be relatively low, under $1 million, due to the capital-light business model. The heavy capital investment is borne by the contract manufacturer and Tier 1 partner, LITEON.
Q:What is the percentage split between hardware and software in your current systems, and how might this change over time?
A:Currently, the majority of revenue is hardware-based, with a growing portion from software (e.g., OPTIS). The software definability of sensors allows for customization and upselling opportunities, particularly in sectors like defense.
Q:What applications or application sets does the NVIDIA Halos ecosystem partnership address, and how does it relate to the Hyperion platform?
A:The partnership with NVIDIA Halos focuses on the automotive space, enhancing robustness, functional safety, and reliability. It aligns with the broader Hyperion platform and supports readiness for automotive shipments.
Q:Can you provide an update on the $30 million double transport win and its revenue contribution?
A:The $30 million win is progressing through validation steps, with initial deployments expected in the second half of 2026. Meaningful revenue contribution is anticipated in 2027, with some revenue baked into 2026 cash guidance.
Q:Were any of the 16 customers gained in 2025 related to OPTIS and STRATOS, and what are the expectations for 2026?
A:The 16 customers include those related to OPTIS, with modest software revenue expected to grow. STRATOS, launched in January, is in early stages but expected to open new opportunities in 2026, particularly in defense, ITS, and rail sectors.
Q:Do you see LiDAR solutions being applied across both EV and ICE vehicles, and what are the trends in L3, L4, and L5 roadmaps?
A:The technology is agnostic to propulsion types and applicable to both EV and ICE vehicles. L3 interest is strong among OEMs, while L4 interest is notable in the trucking space. Activity and engagement in automotive LiDAR have increased.
Q:Are there opportunities for your long-range product in trucking and rail sectors?
A:Yes, the long-range product addresses new use cases, such as trucks merging safely into traffic and rail applications. Apollo is well-suited for medium-range applications, and STRATOS opens additional opportunities.
Q:What are your thoughts on integrating cameras or multiple sensors into LiDAR solutions?
A:The company focuses on building great LiDAR and enabling new use cases. While others may integrate cameras, AEye prioritizes LiDAR's unique capabilities and ease of integration, along with the AI layer in OPTIS for customers without their own AI solutions.
Q:Review of Unclear Management Responses
A:Management avoided providing specific guidance on CapEx for 2026, only stating it would be under $1 million. Additionally, they did not provide detailed quantitative insights into the $30 million transport win's revenue contribution for 2026, citing ongoing validation steps.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
Apollo core
Apollo unit
LiDAR sector
NVIDIA
POC
Relations Manager
STRATOS
Tier manufacturing
analysis
application
architecture software
balance sheet
capability
center
commitment
control
core architecture
cycle
defense
deployment
evaluation
foundation
generation
infrastructure
kilometer detection
legacy
market interest
partnership
perception
program
provider
rail
set
software flexibility
tech stack
transportation
trucking
warrant note

LIDR Transcript

AEye, Inc. (LIDR) Q1 2026 Earnings Call Transcript
Unknown5-14

The earnings call summary presents a mixed picture. The company shows promising product development, partnerships, and market expansion, particularly in defense, with a strong LiDAR offering. However, financial performance shows increased cash burn and flat net loss, with cautious guidance. The Q&A reveals positive sentiment towards partnerships and market traction but highlights uncertainties in revenue realization and OEM engagement timelines. Given these factors, the stock price is likely to remain stable, resulting in a neutral sentiment prediction.

AEye, Inc. (LIDR) Q4 2025 Earnings Call Transcript
Positive3-16

The earnings call highlights a significant increase in customer base and active engagements, a deepened partnership with NVIDIA, and high interest in LiDAR technology at CES. The company is well-capitalized, with low CapEx, and anticipates revenue from recent wins. The Q&A section confirms positive market sentiment, with analysts showing interest in partnerships and growth prospects. Despite some unclear guidance, the overall sentiment is positive, likely leading to a stock price increase.

AEye, Inc. (LIDR) Q3 2025 Earnings Call Transcript
Positive11-6

AEye's earnings call shows strong potential with a growing customer pipeline, strategic market expansion, and effective cost management. The Q&A section supports confidence in their capital-light model and highlights interest from diverse sectors. Despite unclear details about certain investments, the overall sentiment is positive due to revenue growth, new partnerships, and strategic positioning in emerging markets.

AEye, Inc. (LIDR) Q2 2025 Earnings Call Transcript
Positive8-1

The earnings call highlighted several positive factors: a significant partnership with NVIDIA, tripling of cash reserves, and a robust pipeline with over 100 engaged customers. Despite a non-GAAP net loss increase, the improved cash management and strong future revenue prospects from new wins and partnerships suggest a positive outlook. The market is likely to react positively to these developments, especially the high credibility and expanded reach from the NVIDIA partnership, and the substantial increase in liquidity.

LIDR Slides

PDFAEye Q3 2025 slides: doubled customer base amid improved financial metrics
2025-11-06
PDFAEye Q2 2025 slides: strategic wins overshadowed by widening losses
2025-07-31
PDFAEye Q1 2025 slides: Apollo progress and capital-light strategy
2025-05-08

LIDR Report

AEye, Inc. 10-K
10-K
2025-02-24
AEye, Inc. S-1
S-1
2025-01-16
AEye, Inc. 10-Q
10-Q
2024-11-14
AEye, Inc. 10-Q
10-Q
2024-08-07

Frequently Asked Questions

Where does this earnings call transcript come from?

All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.

How soon is the transcript available after the earnings call ends?

Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.

Is the transcript edited or altered in any way?

No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.

Why do some answers appear as “Unclear” or “Inaudible”?

When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.

Who creates the AI Summary and Key Q&A highlights shown above the transcript?

They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.

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