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  4. AEye, Inc. (LIDR) Q1 2026 Earnings Call Transcript

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

LIDR logo
LIDR
AEye Inc
1.315 USD
-1.87%

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

Overview

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.

Key Financial Performance

Quarterly Revenue $101,000, up almost 60% year-over-year compared to $64,000 in Q1 2025. This growth is driven by the company's software-defined architecture and long-range sensing performance, reflecting strong pipeline activity.

GAAP Operating Expenses $8.9 million in Q1 2026 compared to $8.3 million in Q4 2025. The increase is due to higher stock-based compensation and professional fees, alongside continued investment in go-to-market and deployment execution.

Non-GAAP Operating Expenses $7.4 million in Q1 2026, slightly lower than $7.5 million in Q4 2025. This decrease is primarily due to lower payroll costs, partially offset by increased professional fees.

GAAP Net Loss $8.3 million or $0.18 per share in Q1 2026 compared to $7.3 million or $0.17 per share in Q4 2025. The increase is primarily driven by higher stock-based compensation and professional fees, partially offset by lower personnel costs.

Non-GAAP Net Loss $6.7 million or $0.15 per share in Q1 2026, essentially flat compared to $6.8 million or $0.15 per share in Q4 2025.

Cash Burn $9.2 million in Q1 2026, up from $7.5 million in Q4 2025. The increase reflects Q1 seasonality and planned resource deployment into commercial operations, go-to-market investment, and operational execution.

Cash, Cash Equivalents, and Marketable Securities $77.2 million at the end of Q1 2026 compared to $86.5 million at the end of Q4 2025. The decrease reflects deliberate deployment of resources into commercial operations and investments.

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Operating Highlights

Apollo LiDAR: Offers best-in-class detection range of up to 1 kilometer, validated for automotive and industrial applications, and is being evaluated for multiple use cases including UAV wire detection and autonomous trucking.

Stratos: Newest product addition with extended detection range up to 1.5 kilometers and 500-meter performance behind the windshield at a disruptive price point.

APAC Expansion: Progressing with successful customer roadshows in Korea and commercial discussions in Australia. Strong partnership with ATI in China with 4 additional customers evaluating Apollo LiDAR.

Defense Market: New partnership with Syntech to promote Apollo globally, unlocking international defense and aviation markets. Active shipments and evaluations for UAV and UGV applications.

Transportation and Infrastructure: Optus platform live at an intersection in California with additional U.S. smart intersection deployments in progress.

Revenue Growth: Quarterly revenue increased by 60% year-over-year, driven by software-defined architecture and long-range sensing performance.

Customer Base Expansion: Revenue-generating customers increased from 15 to 21, with a 40% increase in issued quotes and active engagements quarter-over-quarter.

Cost Efficiency: Maintained low cash burn through Tier 1 manufacturing partnerships and globally diversified supply chain.

Software-Defined Architecture: Allows for flexible tuning of sensors to customer-specific needs, reducing development costs and enabling market adaptability.

Partnership Ecosystem: Collaborations with NVIDIA, Lite-On, and Syntech enhance market positioning and provide scalable solutions for customers.

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Risk or Challenges

Revenue Growth: Despite a 60% year-over-year revenue increase, the company’s revenue remains low at $101,000 for Q1 2026, which could challenge its ability to scale and meet financial expectations.

Cash Burn: The company reported a cash burn of $9.2 million in Q1 2026, up from $7.5 million in Q4 2025, which could strain financial resources despite having cash reserves.

Net Loss: The GAAP net loss increased to $8.3 million in Q1 2026 from $7.3 million in Q4 2025, driven by higher stock-based compensation and professional fees, indicating ongoing financial challenges.

Customer Demand Shift: Customers are increasingly seeking end-to-end solutions rather than standalone sensors, which may require AEye to rely heavily on its partner ecosystem, potentially limiting control over product integration and delivery.

Supply Chain and Geopolitical Risks: The company’s reliance on globally diversified supply chains and geopolitical risks could impact its ability to deliver products efficiently, especially given shifting trade policies.

Market Competition: The LiDAR market is consolidating, and while AEye claims a strong position, competitive pressures from peers with fixed sensor capabilities and internally owned software stacks could pose challenges.

Capital Efficiency: AEye’s capital-efficient model relies on Tier 1 partnerships rather than owned infrastructure, which, while cost-effective, may limit scalability and operational control.

Regulatory and Trade Policy Implications: Growing trade policy implications and the need for domestically sourced alternatives could create hurdles in maintaining supply chain resilience and meeting OEM demands.

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Guidance & Outlook

Revenue Growth: The company expects a meaningful revenue inflection as technical engagements convert into program commitments. Revenue for Q1 2026 was $101,000, up 60% year-over-year, and the company anticipates continued growth driven by its software-defined architecture and long-range sensing performance.

Market Trends and Opportunities: The physical AI market is projected to reach $1 trillion by 2035, with LiDAR as a key enabling technology. The automotive industry is shifting towards AI-driven safety and software-defined vehicle architectures, with long-range LiDAR becoming essential. The company is also seeing increased OEM engagement and new RFIs in passenger and commercial vehicle segments.

Product Development and Deployment: The company is focusing on converting engagements into deployments. The Apollo LiDAR product is being evaluated for multiple applications, including autonomous trucking, defense, and infrastructure. The new Stratos sensor extends detection range to 1.5 kilometers and is expected to address new market opportunities.

Geographic Expansion: The company is progressing with its APAC expansion strategy, including advancing discussions in Australia and engaging with OEMs in Korea. Partnerships in China remain strong, with additional customers evaluating the Apollo LiDAR product.

Capital Expenditures and Financial Outlook: The company reaffirms its 2026 full-year cash burn target of $30 million to $35 million, reflecting planned investments in commercial execution, sales, and marketing. The company remains well-capitalized with runway into 2028 and virtually debt-free.

Strategic Partnerships: Partnerships with NVIDIA, Lite-On, and Syntech are expected to drive commercial scale and expand market reach. The Syntech partnership is anticipated to unlock international defense and aviation markets outside the U.S.

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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 update us on the collaboration and partnership with NVIDIA and provide milestones for the rest of the year?
A:The relationship with NVIDIA is strong and progressing. The company has integrated with NVIDIA DRIVE AGX Thor and joined the NVIDIA Halos AI lab. The focus for the rest of the year is on the validation process for NVIDIA AGX Drive Thor, with teams actively working at NVIDIA's headquarters to ensure readiness for OEM integration.
Q:Can you provide more detail on commercial traction within key markets and highlight markets with the shortest selling time?
A:The company has seen 31% customer growth across six market segments, with defense being a standout due to its industry-leading detection range and software-defined LiDAR flexibility. Defense is a high-velocity market, while automotive has longer lead times (2-3 years to SOP) compared to non-automotive (6-12 months). The company also highlighted progress in intelligent traffic systems and partnerships with major U.S. defense primes.
Q:Are you in discussions with additional partners, particularly in the defense industry?
A:Yes, the company is in discussions with additional partners across all segments. They have seen a 40% growth in their pipeline and are expanding software partnerships, particularly with their Optus platform, which is based on NVIDIA Jetson.
Q:What is the nature of the trucking opportunities, and are they displacing internal LiDAR production or greenfield opportunities?
A:The trucking opportunities are a mix of displacing internal LiDAR production and greenfield opportunities. The company’s sensors are being evaluated by multiple L4 trucking players due to their long-range capabilities and tunability. There is also interest in L2 applications, and the sensors can fulfill both long-range and short-range needs without hardware changes.
Q:Do you see LiDAR being consumed as part of driver safety packages or as a feature for L4 autonomy?
A:LiDAR is being used for both driver safety packages and L4 autonomy. The sweet spot is L3 (hands-off, eyes-off driving), but there is also interest in L2 and ADAS. Supply chain resiliency concerns have driven customers to the company for L3 and L4 applications.
Q:What is the weight of your LiDAR solutions, and how does it impact defense applications, particularly drones?
A:The company’s LiDAR solutions are lightweight and suitable for high-speed drones requiring long-range detection. They are also effective for drone detection and intervention systems due to their long-range capabilities.
Q:What is the status of the $30 million contract opportunity, and will it contribute to revenue this year?
A:The $30 million contract opportunity is included in the customer count but is not expected to contribute meaningfully to revenue this year. Other customers with near-term opportunities are expected to drive revenue potential for this year.
Q:Can you elaborate on the dynamics of automotive OEM engagement and the increase in RFIs?
A:Automotive OEM engagement has increased due to funding in L4 robotaxis and supply chain resiliency concerns. The company has seen more RFIs but finds OEM schedules unpredictable. They are prepared for manufacturing when needed and have completed supply chain audits to ensure readiness.
Q:What is the maturity and breadth of engagement for the Optus platform?
A:The Optus platform is live in a California intersection and has completed a POC in Australia. It is being used in intelligent traffic systems and is gaining traction with customers seeking end-to-end solutions. The platform’s range and customization capabilities are key differentiators.
Q:Are you still guiding for an acceleration in revenue in the second half of the year?
A:Yes, the company expects an inflection in revenue in the second half of the year, with more units in the pipeline for Q2 and continued growth into Q3 and Q4.
Q:Review of Unclear Management Responses
A:Management avoided providing specific timelines or details on when OEM schedules for automotive LiDAR integration would materialize, citing unpredictability. Additionally, they did not disclose the exact weight specifications of their LiDAR solutions, stating only that they are lightweight and suitable for drones.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
ANAB
LiDAR
NVIDIA
Optus
POC
Syntech
UAV wire
application
breadth
company
compensation fee
confidence
consolidation
defense
deployment
end
evaluation
field
filing
financials
flexibility
ground
implication
indicator
infrastructure
intersection
kilometer detection
mobility
perception capability
policy
prerequisite
program
quality
rail
resilience
sector
selection
sell side
sensor solution
shelf
signal
software architecture
vehicle segment

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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