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2026-10-08 02:57 17d ago
2026-10-07 20:11 17d ago
Akcie Ambarella klesly, zasvěcené osoby prodaly akcie za 18,1 mil. USD
AMBA Ambarella
FMP Stock News 72
Original source text
On October 07, 2026, Ambarella Inc AMBA shares fell 3.8%, closing at $65.33. The stock has had a challenging year, with its price fluctuating between a 52-week high of $96.69 and a low of $48.30.

GF Value™ verdict: Current price of $65.33 is 22.4% below the GF Value™ estimate of $84.14.GF Score™: 75/100, indicating above-average performance.Most notable signal: Insider activity shows significant selling, with insiders liquidating $18.1M over the past 12 months.Is AMBA Overvalued or Undervalued?Ambarella Inc's current price of $65.33 is positioned below the GF Value™ estimate of $84.14, suggesting that the stock may be undervalued by approximately 22.4%. However, it is crucial to approach this analysis with caution due to the company's status as unprofitable and cash-flow negative. The GF Value™ is GuruFocus' proprietary intrinsic value estimate that synthesizes historical trading multiples, past business growth, and projections for future performance. Given that AMBA is not generating profits, relying solely on earnings-based valuation metrics like P/E could lead to skewed interpretations. Instead, we should focus on the Price-to-Sales (P/S) ratio, which is essential for loss-making companies like Ambarella.

With a historical median P/S ratio of around 8.0x, any deviation from this benchmark warrants attention. While the GF Value™ indicates a margin of safety, the lack of profitability raises concerns about the sustainability of growth and investor sentiment. Therefore, while the current pricing does suggest an opportunity, potential investors should weigh the risks associated with volatility and the company’s financial performance.

How Does AMBA's Valuation Compare to Its History?MetricCurrentHistoricalForward P/E61.1xN/ACurrently, Ambarella's forward P/E stands at 61.1x, which is significantly higher than the historical valuation benchmarks for the semiconductor industry. This elevated P/E ratio does not align with the GF Value™ assessment of modest undervaluation. Consequently, the P/E analysis suggests that the stock may be overvalued relative to its historical performance, creating a discrepancy that potential investors should consider carefully.

What Does AMBA's GF Score™ Tell Us?The GF Score™ assesses a stock's overall performance based on various factors, including financial strength, profitability, growth potential, valuation, and momentum. Ambarella's score of 75/100 reflects a solid position, particularly in terms of valuation, where it ranks 10/10. However, it lacks strength in profitability, with a rank of 3/10, indicating potential challenges in generating sustainable earnings.

MetricRatingGF Score™75Financial Strength8/10Profitability3/10Growth6/10Valuation10/10Momentum7/10Overall, while Ambarella's strengths lie in its financial stability and valuation, its weaknesses in profitability could hinder its growth trajectory. The high valuation rank coupled with a low profitability score presents a mixed picture for potential investors.

What Are Gurus and Insiders Doing with AMBA?Currently, there are 5 gurus holding shares of Ambarella, with 1 guru adding to their position while 3 have trimmed their holdings in recent quarters. This indicates a cautious sentiment among institutional investors towards the stock. Additionally, insider activity reveals that insiders have sold a substantial $18.1 million worth of shares over the past 12 months without any buying activity. This selling pattern might suggest a lack of confidence in the company's near-term performance and raises questions about future growth prospects.

Such insider selling can sometimes be a red flag, as it may imply that those closest to the company do not foresee significant upside in the immediate future. Investors should consider these dynamics when assessing the overall attractiveness of Ambarella as a potential investment.

What This Means for InvestorsBased on the analysis, Ambarella Inc appears to be undervalued according to the GF Value™ estimate, yet caution is warranted due to the company's unprofitable status and the implications of insider selling. The high forward P/E ratio relative to its historical performance further complicates the investment thesis. Investors should weigh these considerations carefully before making decisions. For more in-depth insights, you can visit the Ambarella Inc AMBA stock page, along with the GF Value™ page for detailed information.

Frequently Asked QuestionsWhat is AMBA's GF Score™?

AMBA has a GF Score™ of 75/100, indicating above-average performance across various metrics.

Is AMBA overvalued or undervalued?

According to the GF Value™, AMBA is currently undervalued by 22.4% compared to its estimated fair value of $84.14.

What is AMBA's P/E ratio?

AMBA's forward P/E ratio is 61.1x, which is significantly above its historical levels, suggesting potential overvaluation.

This stock alert was generated using automated technology and GuruFocus financial data to provide readers with timely and accurate market reporting. This content was reviewed by GuruFocus editorial team prior to publication. Please send any questions or comments about this story to [email protected].

Disclosures I/We may personally own shares in some of the companies mentioned above. However, those positions are not material to either the company or to my/our portfolios.
2026-09-15 13:53 1mo ago
2026-09-15 09:00 1mo ago
Ambarella a ZEDEDA spouštějí cloudové AI na edge
AMBA Ambarella
FMP Stock News 78
Original source text
 | Source: Ambarella

ZEDEDA Edge Intelligence Platform now runs on Ambarella's edge AI SoCs, letting enterprises deploy, secure and operate AI models on power-efficient silicon from a single control plane

Joint demonstrations with Roboflow and Liquid AI debut at the AI Infrastructure Summit 2026

SAN JOSE, Calif. and SANTA CLARA, Calif., Sept. 15, 2026 (GLOBE NEWSWIRE) -- Ambarella, Inc. (NASDAQ: AMBA), a leading developer of edge AI semiconductor solutions, and ZEDEDA, the leader in edge intelligence, today announced a strategic partnership to bring secure, cloud-orchestrated AI to the devices where the physical world meets AI: cameras, robots, vehicles, industrial systems and edge appliances.

AI silicon has advanced faster than the tools to manage it in the field. Enterprises can build powerful edge AI hardware, but deploying, updating and securing models across fleets of devices remains largely manual, slow and hard to secure. ZEDEDA's 2026 survey of 600 IT and business leaders found that 47% of enterprises have already adopted hybrid cloud-edge architectures, and that 41% describe managing AI workloads across those environments as a challenge.

Through this collaboration, ZEDEDA's open-source EVE-OS, governed by the Linux Foundation, now runs on Ambarella's N1 family of edge generative AI SoCs, and ZEDEDA's Edge Intelligence Platform can deploy, update and operate AI models directly on Ambarella's power-efficient AI acceleration hardware. Enterprises and OEMs can now orchestrate vision models, LLMs and multimodal AI workloads on Ambarella-based systems at any scale, from a single control plane, with zero-touch security built in. This represents a significant evolution in edge computing: cloud-native software infrastructure and Physical AI inference together inside the machine, with centralized control and management retained.

The partnership unites two complementary leaders: Ambarella's SoCs power AI perception across security cameras, robotics, automotive and industrial systems, with more than 50 million AI chips shipped cumulatively. ZEDEDA's platform is trusted by leading Fortune 500 enterprises operating tens of thousands of edge nodes in the field. Together, the companies remove the biggest barrier to physical AI adoption: getting models onto distributed devices, keeping them current and keeping them secure, without sending trucks or exposing infrastructure.

Building on a breakout year for both companies

Today's announcement extends the momentum both companies have built in 2026:

In March, ZEDEDA unveiled its Edge Intelligence Platform at NVIDIA GTC, the industry's first platform to create, secure and operate edge and physical AI at scale, alongside Edge Intelligence Labs and Edge Intelligence Appliances.In January, Ambarella launched its CV7 edge AI vision SoC at CES 2026, delivering more than 2.5x the AI performance of the prior generation on 4nm process technology, and opened its Developer Zone to broaden the Ambarella edge AI ecosystem. This partnership connects those threads: Ambarella's newest silicon and developer ecosystem, now operable at fleet scale through ZEDEDA Edge Intelligence Platform and edge AI ecosystem.

What the partnership delivers

EVE-OS validated on Ambarella N1: ZEDEDA's open-source, Linux Foundation LF Edge-based edge operating system runs on the Ambarella N1-655, providing a secure, vendor-neutral foundation for containerized, virtualized and Kubernetes workloads on-device.Model deployment from the ZEDEDA Model Hub: Ambarella-optimized AI models are deployed to Ambarella-based systems directly from ZEDEDA's Edge Intelligence Platform, with verified inference on Ambarella's AI acceleration engine and full observability, monitoring and lifecycle management for ongoing updates and optimization in the field.A full-stack developer path: Ambarella's edge AI platform combines proprietary AI acceleration and computer vision with its Cooper development environment: 12 edge AI SoC families supporting more than 200 AI model architectures in customer production and now orchestrated at fleet scale by ZEDEDA.Developer kits, ready out of the box: Development kits featuring Ambarella technology with EVE-OS preinstalled are expected to become available through Ambarella's DevZone, so developers and system integrators can go from unboxing to orchestrated Physical AI deployment in minutes.An open ecosystem path: The companies are working with ISVs, system integrators and hardware partners to deliver full-stack edge AI solutions, and will explore deeper participation in the LF Edge ecosystem, of which ZEDEDA is a founding member.
A phased path to enterprise scale

IDC forecasts that worldwide edge computing spending will approach $360 billion by 2027, and a growing share is going toward systems that run AI inference on the device and on edge AI boxes. To address this market, the companies have defined a five-phase strategic roadmap, and—contingent on customer adoption and on the companies electing to proceed—the roadmap includes deployments reaching hundreds of thousands of managed edge nodes across more than one hundred enterprises, with associated Ambarella revenue that could exceed hundreds of millions of dollars over a 5-7 year period. These figures represent agreed-upon planning objectives rather than minimum revenue commitments, purchase obligations or guaranteed forecasts.

The collaboration initially focuses on use cases where AI must operate locally with low latency, high reliability and constrained power budgets, including robotics and autonomous machines, industrial automation and machine vision, intelligent cameras and smart infrastructure, automotive and mobility, retail and logistics, and connected industrial equipment.

See it live at AI Infra Summit 2026

The companies will showcase the integration at the AI Infra Summit, September 15-17 at the Santa Clara Convention Center, where Ambarella is a Diamond Sponsor. Running on the Ambarella N1-655 platform, the demonstration will show how enterprises can create, package and deploy a custom solution blueprint to an Ambarella cluster, with the Ambarella YOLOX AI model automatically pulled from the ZEDEDA Model Hub and made available to the runtime at startup. Ecosystem partners Roboflow and Liquid AI will showcase computer vision and language models running on Ambarella silicon in the same demonstration, orchestrated by ZEDEDA.

The companies will also demonstrate Kubernetes-based AI workloads running on Ambarella CV7, illustrating how sophisticated cloud-native workloads can be orchestrated directly inside highly power-efficient intelligent edge devices — including camera-class systems. This represents a significant evolution in edge computing: bringing cloud-native software infrastructure and Physical AI inference together inside the machine while retaining centralized control and management.

Executive quotes

"AI is moving into the physical world, and the hard part was never training models. It's operating them securely and reliably on millions of devices in the field," said Said Ouissal, founder and CEO of ZEDEDA. "Ambarella has built an exceptional AI compute platform for the physical world. By combining Ambarella silicon with EVE-OS and ZEDEDA Edge Intelligence Platform, we can give developers and enterprises a cloud-like experience for deploying and operating AI across fleets of intelligent machines. This is an important step toward making Physical AI operational at scale."

“Physical AI is moving intelligence from the cloud into machines that perceive, understand and act in the real world,” said Muneyb Minhazuddin, Chief Growth Officer at Ambarella. “Ambarella provides the AI compute platform that makes this possible within extremely power-constrained devices, while ZEDEDA provides the cloud-like infrastructure to securely deploy, orchestrate, observe and manage that intelligence at scale. Together, we are creating a powerful foundation for the next generation of intelligent cameras, robots, vehicles and industrial machines.”

Availability

EVE-OS support for the Ambarella N1-655 is available now for early access customers. Validated Ambarella solution blueprints and optimized models in the ZEDEDA Model Hub, and development kits with EVE-OS preinstalled, are expected to be available in Q4 2026. The companies are currently extending the integration with Ambarella hardware observability and direct Model Hub deployment, creating a path toward repeatable, fleet-scale deployment of Physical AI applications. Contact ZEDEDA or Ambarella for early access.

About ZEDEDA

ZEDEDA unlocks the value of AI where it matters most, enabling enterprises to create, secure and operate edge AI at scale. ZEDEDA's Edge Intelligence products and solutions are used by globally distributed enterprises to rapidly realize intelligence, with real-time data driving business outcomes. Trusted by the world's largest organizations, ZEDEDA is backed by world-class investors and has teams in the United States, Germany, India, and the United Arab Emirates. For more information, visit ZEDEDA.ai.

About Ambarella

With an installed base of more than 50 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making and control across devices. Ambarella’s low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy. For more information, please visit www.ambarella.com.

Media Contacts

ZEDEDA:
Treble
Sarah Vandiver
[email protected]

Ambarella:
Jonathan Miller
[email protected]
2026-09-15 13:53 1mo ago
2026-09-15 09:00 1mo ago
Ambarella uvedla X7, svůj první samostatný AI akcelerátor
AMBA Ambarella
FMP Stock News 86
Original source text
 | Source: Ambarella

New edge AI accelerator brings Ambarella's third-generation CVflow® engine to Arm and x86 host systems

Leading OEMs in several key verticals are currently creating designs with X7

SANTA CLARA, Calif., Sept. 15, 2026 (GLOBE NEWSWIRE) -- Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced the X7 edge AI accelerator, its first dedicated CVflow® AI accelerator chip. X7 serves as an AI co-processor for Arm and x86 host processors, adding or expanding AI capabilities in a system without a redesign of the underlying platform.

Existing installations of cameras, gateways or industrial controllers often have limited AI capabilities, or none at all, but may have years of operating life remaining. Owners and operators of these older deployments are now requesting AI features that were unavailable when the hardware was built. Millions of systems working in the physical world fall into this category. X7 is intended for OEMs and system builders responsible for that existing installed base, and for teams validating new AI features before committing resources toward a next-generation redesign. For physical AI, a category describing machines that perceive, reason and act in the physical world, X7 allows these machines to gain intelligence over their lifetimes.

"Many of our customers’ systems in the field were designed before the AI workloads their end users now expect were possible," said Fermi Wang, President and CEO of Ambarella. "X7 brings the same third-generation CVflow engine that runs in more than 50 million of our AI SoCs to platforms our customers have already deployed at scale. Our integrated SoCs remain the strongest choice when a team is designing the entire system around AI, while X7 extends the same engine to every other scenario, whether the platform is already in the field or still being prototyped."

Power, thermal limits and system cost

A camera or an inspection system that once ran a single detection model now runs several simultaneously, often combining conventional computer vision, vision-language models and a natural-language interface. Whether AI features like these can successfully operate in an embedded product depends on inflexible factors such as power, thermal headroom, latency and system cost. In current customer designs, X7 operates within a power envelope between 2 and 5 watts, allowing the accelerator to run within a platform’s existing constraints, maintain the enclosure size, and avoid unnecessary increases to the current bill of materials. X7 supports CNNs, vision transformers, multimodal transformers and hybrid networks using the same CVflow computer vision and deep learning processor Ambarella integrates into its SoCs.

How X7 integrates into a host system

X7 is a host-agnostic accelerator, connecting to the host over a single lane of PCIe Gen 3 or over USB 3.2 and appearing to the system as a standard PCIe device. The host can also be one of Ambarella's own SoCs, so a customer shipping an Ambarella-based product today has a path to improved AI performance for a given workload without a board redesign.

Software, tools and model support

X7 is supported by the Cooper™ Developer Platform, the same environment that serves every Ambarella AI SoC, including the compiler, quantization and profiling tools, the C++ and Python runtime APIs, and the scheduling and memory management that multi-model pipelines require. Models from the Cooper Model Garden in the Ambarella Developer Zone are designed to run on the X7 accelerator as well, with the same documentation, sample code and engineering support Ambarella provides to its SoC customers.

Because X7 shares the CVflow architecture with the overall Ambarella SoC portfolio, a model or perception pipeline built for one of the company’s SoCs is designed to carry forward to X7 without requiring a software rewrite, following the same path used when a product line moves to a next-generation integrated SoC. The CVflow architecture is now in its third generation. Ambarella has been building neural processing into its silicon since 2015, and its AI processors number more than 50 million operating in the field today.

XCalibur reference design

XCalibur is Ambarella's reference design and development platform for X7. A standard 2280 M.2 card with LPDDR5 memory and PCIe throughput above 840 MB/s, XCalibur can process several video streams and AI models simultaneously. Ambarella intends to make the complete XCalibur design files available to customers, enabling an OEM or ODM to move from evaluation to a production module on the same design.

Markets, channels and availability

Target applications include retail and physical security, industrial inspection and manufacturing, mobile robots and drones, intelligent transportation and critical infrastructure, and enterprise edge systems such as kiosks, point-of-sale terminals, gateways and on-premise AI appliances. X7 also opens markets for new designs built around a host processor from another supplier, as well as designs built on an Ambarella SoC that require additional AI performance. The X7 product is not specific to cameras and serves a wide variety of digital and physical data modalities, which makes it suitable for edge-infrastructure inference systems and for endpoints such as robots.

Ambarella is bringing X7 to market through the company’s direct sales channels as well as the indirect channels established via its relationships with Capgemini and Macnica announced on September 3, 2026. Capgemini works with large enterprises on complex deployments, while Macnica covers small and midsized customers, independent software vendors, OEMs, ODMs and systems integrators across the Americas and EMEA.

X7 is sampling now, and XCalibur evaluation kits are available to qualified customers. Ambarella will discuss X7 in further detail at the AI Infrastructure Summit, September 15-17 at the Santa Clara Convention Center.

About Ambarella

With an installed base of more than 50 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making and control across devices. Ambarella’s low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy. For more information, please visit www.ambarella.com.

Media Contact

Jonathan Miller

[email protected]
2026-09-03 22:34 1mo ago
2026-09-03 16:05 1mo ago
Ambarella spolupracuje s Capgemini na Edge AI
AMBA Ambarella
FMP Stock News 78
Original source text
Capgemini to provide engineering, integration, and industry expertise to support Ambarella's next phase of growth  | Source: Ambarella

SANTA CLARA, Calif. and NEW YORK, Sept. 03, 2026 (GLOBE NEWSWIRE) -- Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, and Capgemini (Euronext Paris: CAP), the global AI-driven business and technology transformation company, today announced their engagement to accelerate the development and deployment of Edge and Physical AI solutions across smart infrastructure, retail and logistics, industrial automation, healthcare, and automotive sectors.

Under the agreement, Capgemini will provide engineering, systems integration, and industry expertise to help accelerate customer adoption of Ambarella's Edge and Physical AI technologies. The work will focus on developing solutions that enable AI processing closer to where data is generated, including in cameras, vehicles, industrial equipment, robotics systems, and other intelligent devices.

Capgemini will provide services to help Ambarella ideate and establish a dedicated global Edge and Physical AI Center of Excellence designed to accelerate solution development, proof-of-concept initiatives, technology validation, and deployment readiness for enterprise customers. Capgemini’s experts will also work with relevant technology providers and ecosystem participants to help deliver complete solutions suited to enterprise deployment requirements.

“Edge and Physical AI represent an important opportunity to extend AI from the data center into cameras, robots, vehicles, machines and other systems that perceive and interact directly with the physical world,” said Fermi Wang, President and Chief Executive Officer of Ambarella. “Customers increasingly need full stack solutions that combine AI compute, software, and applications on integrated systems. Our work with Capgemini will help create a scalable path from Ambarella technology to enterprise applications and ultimately, production deployments.”

With these initiatives Capgemini will help customers worldwide evaluate and deploy AI-enabled solutions tailored to their operational and business needs on Ambarella Platforms.

Ray Nath, Head of Sogeti in the US, part of Capgemini, noted, "Organizations are looking for practical ways to deploy AI closer to where critical business decisions are made. We are pleased to engage with Ambarella as they expand adoption of their industry-leading Edge and Physical AI technologies to help clients accelerate innovation across multiple industries."

By using Ambarella's Edge and Physical AI technology, delivered through Capgemini's world-class engineering and integration expertise, clients can bring AI capabilities closer to where data is generated, to accelerate the path from concept to production.

About Ambarella

With an installed base of more than 50 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making and control across devices. Ambarella’s low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy. 

For more information, please visit www.ambarella.com.

Investor contact:

Louis Gerhardy
Tel: +1 408 636 2310
Email: [email protected]

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

Make it real | www.capgemini.com

Press contact:

Martina Cuccioli
Tel.: + 1 630 689 8349
E-mail: [email protected]
2026-09-03 22:34 1mo ago
2026-09-03 16:05 1mo ago
Ambarella a Macnica uzavírají dlouhodobou distribuční dohodu pro edge AI v Americe a EMEA
AMBA Ambarella
FMP Stock News 86
Original source text
 | Source: Ambarella

Partnership expands Ambarella’s go-to-market reach through Macnica’s distribution, technical enablement and ecosystem development capabilities across the Americas and EMEA, driving significant potential net new revenues for Ambarella

Macnica to support ISVs, OEMs, ODMs, systems integrators and customers building and deploying solutions on Ambarella’s edge AI platform

SANTA CLARA, Calif., Sept. 03, 2026 (GLOBE NEWSWIRE) -- Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced that it has entered into a long-term strategic distribution agreement with Macnica Americas, Inc. and Macnica ATD Europe S.A.S. (collectively, “Macnica”) to expand the availability and adoption of Ambarella’s edge AI infrastructure products and solutions across the Americas and EMEA.

Under the agreement, Ambarella has appointed Macnica as a non-exclusive authorized distributor for Ambarella edge AI infrastructure semiconductor devices and associated platforms, including Ambarella’s CV-series and N-series SoCs, systems-on-module (SOMs), edge AI systems, evaluation and development platforms, reference designs, software development kits and related solutions.

The agreement represents an important expansion of Ambarella’s indirect go-to-market strategy for edge AI infrastructure and Physical AI. The companies intend to combine Ambarella’s highly efficient AI silicon and full-stack software platform with Macnica’s semiconductor distribution capabilities, technical expertise, supply-chain infrastructure and customer relationships to help accelerate the development and deployment of edge AI solutions. This has the potential to drive significant potential net new revenues for Ambarella through indirect channels.

The relationship extends beyond traditional product distribution. Macnica will work with Ambarella to develop and support an ecosystem of independent software vendors (ISVs), OEMs, ODMs, systems integrators and other channel partners building solutions around Ambarella’s edge AI platform. These activities are expected to include partner recruitment and onboarding, technical integration support, design-in assistance, joint go-to-market programs, demand-generation activities and customer deployment support.

“As edge and Physical AI workloads become increasingly sophisticated, customers need more than silicon alone—they need complete technology ecosystems that can support them from initial evaluation and design-in through deployment,” said Fermi Wang, President and Chief Executive Officer of Ambarella. “Our strategic relationship with Macnica expands Ambarella’s ability to serve these customers by combining our highly efficient edge AI platform with Macnica’s distribution reach, technical capabilities and ecosystem expertise. Together, we intend to make it easier for customers and partners to bring innovative edge AI solutions to market.”

Macnica will provide customers, channel partners and ISVs with pre-sales technical consultation, product evaluation support, design-in assistance, SDK integration support and post-sales technical support. The companies will also collaborate on industry events, marketing programs and other demand-generation activities designed to increase awareness and adoption of Ambarella’s edge AI technology.

“Ambarella’s edge AI platform aligns closely with Macnica’s Capture → Process → Communicate strategy and our focus on enabling advanced intelligent systems,” said Aki Miyoshi, Co-CEO, Macnica, Inc. “By combining Ambarella’s AI processing technology with Macnica’s engineering expertise, distribution infrastructure and ecosystem relationships, we intend to help customers and partners move efficiently from evaluation and development to commercial deployment across the Americas and EMEA.”

The companies initially plan to focus their collaboration on applications including intelligent video analytics, smart infrastructure, autonomous robotics and mobility, industrial IoT, intelligent transportation, retail analytics, security and surveillance, and distributed edge computing.

The agreement begins with a structured commercial development and market-validation phase focused on establishing joint go-to-market capabilities, developing customer opportunities, enabling ecosystem partners and validating Ambarella-based solutions in the market. The companies expect to expand their collaboration as customer engagements, design activity and the supporting partner ecosystem scale.

Through the combined ecosystem, customers will be able to work with Ambarella and Macnica partners to assemble solutions spanning AI silicon, systems, software and integration services. This partner-led approach is intended to reduce integration complexity and shorten the path from evaluation and proof-of-concept to production deployment for enterprises adopting edge AI and Physical AI technologies.

About Ambarella
With an installed base of more than 50 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones and emerging robotic applications.

Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI frameworks that coordinate perception, decision-making and control across devices. Ambarella’s low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep-learning neural-network AI accelerators, enabling electronic systems to achieve increasing levels of machine autonomy.

For more information, please visit www.ambarella.com.

About Macnica

Macnica, Inc. is a service/solution company that handles the latest technologies in a comprehensive manner, centered on semiconductors and cyber security. Developing business in 100 locations in 33 countries/regions around the world, leveraging the technological capabilities and global network cultivated over a history of more than 50 years, we discover, propose, and implement cutting-edge technologies such as AI, IoT, and autonomous driving.

Through Macnica Americas, Inc. and Macnica ATD Europe S.A.S., Macnica supports customers across the Americas and EMEA with technical support, design services and ecosystem capabilities spanning Capture → Process → Communicate architectures.

Learn more at www.macnica.com/americas and www.macnica.com/eu.

Ambarella Contacts

Media contact: Jonathan Miller, [email protected], +1 408-365-4348Investor contact: Louis Gerhardy, [email protected], +1 408-636-2310Sales contact: https://www.ambarella.com/contact-us/
2026-09-03 22:34 1mo ago
2026-09-03 16:05 1mo ago
Ambarella zvýšila tržby a snížila čistou ztrátu ve 2. čtvrtletí
AMBA Ambarella
FMP Stock News 92
Original source text
SANTA CLARA, Calif., Sept. 03, 2026 (GLOBE NEWSWIRE) -- Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced second quarter fiscal 2027 financial results for the period ended July 31, 2026.

Revenue for the second quarter of fiscal 2027 was $108.1 million, up 13.2% from $95.5 million in the same period in fiscal 2026. For the six months ended July 31, 2026, revenue was $208.5 million, up 14.9% from $181.4 million for the six months ended July 31, 2025.Gross margin under U.S. generally accepted accounting principles (GAAP) for the second quarter of fiscal 2027 was 57.7%, compared with 58.9% for the same period in fiscal 2026. For the six months ended July 31, 2026, GAAP gross margin was 58.0%, compared with 59.4% for the six months ended July 31, 2025.GAAP net loss for the second quarter of fiscal 2027 was $6.7 million, or loss per diluted ordinary share of $0.15, compared with a GAAP net loss of $20.0 million, or loss per diluted ordinary share of $0.47, for the same period in fiscal 2026. GAAP net loss for the six months ended July 31, 2026 was $24.8 million or loss per diluted ordinary share of $0.57. This compares with GAAP net loss of $44.3 million, or loss per diluted ordinary share of $1.05, for the six months ended July 31, 2025. Financial results on a non-GAAP basis for the second quarter of fiscal 2027 are as follows:

Gross margin on a non-GAAP basis for the second quarter of fiscal 2027 was 59.3%, compared with 60.5% for the same period in fiscal 2026. For the six months ended July 31, 2026, non-GAAP gross margin was 59.6%, compared with 61.2% for the six months ended July 31, 2025.Non-GAAP net income for the second quarter of fiscal 2027 was $8.2 million, or earnings per diluted ordinary share of $0.18. This compares with non-GAAP net income of $6.4 million, or earnings per diluted ordinary share of $0.15, for the same period in fiscal 2026. Non-GAAP net income for the six months ended July 31, 2026 was $13.3 million, or earnings per diluted ordinary share of $0.30. This compares with non-GAAP net income of $9.5 million, or earnings per diluted ordinary share of $0.22, for the six months ended July 31, 2025.  Based on information available as of today, Ambarella is offering the following guidance for the third quarter of fiscal year 2027, ending October 31, 2026:

Revenue is expected to be between $115.0 million and $124.0 million.Gross margin on a non-GAAP basis is expected to be between 59.0% and 60.0%.Non-GAAP operating expenses are expected to be between $56.5 million and $59.5 million.
Ambarella reports gross margin, net income (loss) and earnings (losses) per share in accordance with GAAP and, additionally, on a non-GAAP basis. Non-GAAP financial information excludes the impact of stock-based compensation and acquisition-related costs adjusted for the associated tax impact, which includes the effect of any benefits or shortfalls recognized. In addition, in our second quarter of fiscal 2027, we recognized a one-time $9.0 million reduction in our GAAP research and development expense on release of a deposit liability following the termination of a development project. Given the nature of this credit and that it is non-recurring, we excluded it from operating expenses for the purpose of reporting non-GAAP financial results. A reconciliation of the GAAP to non-GAAP gross margin, net income (loss) and earnings (losses) per share for the periods presented, as well as a description of the items excluded from the non-GAAP calculations, is included in the financial statements portion of this press release.

Total cash, cash equivalents and marketable debt securities on hand at the end of the second quarter of fiscal 2027 was $272.3 million, compared with $277.8 million at the end of the prior quarter and $261.2 million at the end of the same quarter a year ago.

“Our edge AI revenue reached record levels in Q2, with balanced sequential growth in Auto and IoT markets with very strong growth from our 5nm CV75 and CV72 AI SoCs. We are making significant progress with our strategic priorities to extend our market reach with new higher value products and the implementation of new go-to-market strategies. These include the introduction of our first stand-alone AI Accelerator, X7, and the execution of 7-year agreements to develop the indirect sales channel with both Macnica, a leading global technical distributor, and CapGemini, a leading global engineering and systems integration firm,” said Fermi Wang, President & CEO. “These developments are contributing to an increase in our 5-year serviceable market (“SAM”) forecast for edge AI and Physical AI.” 

Quarterly Conference Call

Ambarella plans to hold a conference call at 4:30 p.m. Eastern Time / 1:30 p.m. Pacific Time today with Fermi Wang, President and Chief Executive Officer, and John Young, Chief Financial Officer, to discuss the second quarter of fiscal year 2027 results. A live and archived webcast of the call will be available on Ambarella’s website at http://www.ambarella.com/ for up to 30 days after the call.

About Ambarella

With an installed base of more than 50 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making and control across devices. Ambarella’s low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy.  For more information, please visit www.ambarella.com.

"Safe harbor" statement under the Private Securities Litigation Reform Act of 1995 

This press release contains forward-looking statements that are not historical facts and often can be identified by terms such as “outlook,” “projected,” “intends,” “will,” “estimates,” “anticipates,” “expects,” “believes,” “could,” “should,” or similar expressions, including the guidance for the third quarter of fiscal year 2027 ending October 31, 2026, and the comments of our CEO relating to demand for edge AI solutions, our progress with strategic priorities to extend our market reach, our ability to successfully build an indirect sales channel, the forecasted size of our serviceable market (“SAM”), and our ability to successfully penetrate the edge AI and Physical AI markets. The achievement or success of the matters covered by such forward-looking statements involves risks, uncertainties and assumptions. Our actual results could differ materially from those predicted or implied and reported results should not be considered as an indication of our future performance.

The risks and uncertainties referred to above include, but are not limited to, global economic and political conditions; changes in government policies, including possible trade tariffs and restrictions; revenue being generated from new customers or design wins, neither of which is assured; the commercial success of our customers’ products; our customers’ ability to manage their inventory requirements; our growth strategy; our ability to anticipate future market demands and future needs of our customers, particularly for AI inference applications; our ability to introduce, and to generate revenue from, new and enhanced solutions; our ability to develop, and to generate revenue from, new advanced technologies, such as AI functionality and advanced networks, including vision-language models and GenAI; our ability to retain and expand customer relationships and to achieve design wins; the expansion of our current markets and our ability to successfully enter new markets and applications, such as edge infrastructure; anticipated trends and challenges, including competition, in the markets in which we operate; risks associated with global health conditions and associated risk mitigation measures; our ability to effectively manage growth; our ability to retain key employees; and the potential for intellectual property disputes or other litigation.

Further information on these and other factors that could affect our financial results is included in the company’s Annual Report on Form 10-K for our 2026 fiscal year, which is on file with the Securities and Exchange Commission. Additional information will also be set forth in the company’s quarterly reports on Form 10-Q, annual reports on Form 10-K and other filings the company makes with the Securities and Exchange Commission from time to time, copies of which may be obtained by visiting the Investor Relations portion of our web site at www.ambarella.com or the SEC's web site at www.sec.gov. Undue reliance should not be placed on the forward-looking statements in this release, which are based on information available to us on the date hereof. The results we report in our Quarterly Report on Form 10-Q for the second quarter of fiscal 2027 ended July 31, 2026 could differ from the preliminary results announced in this press release.

Ambarella assumes no obligation and does not intend to update the forward-looking statements made in this press release, except as required by law. 

Non-GAAP Financial Measures

The company has provided in this release non-GAAP financial information, including non-GAAP gross margin, net income (loss), and earnings (losses) per share, as a supplement to the condensed consolidated financial statements, which are prepared in accordance with generally accepted accounting principles ("GAAP"). Management uses these non-GAAP financial measures internally in analyzing the company’s financial results to assess operational performance and liquidity. The company believes that both management and investors benefit from referring to these non-GAAP financial measures in assessing its performance and when planning, forecasting and analyzing future periods. Further, the company believes these non-GAAP financial measures are useful to investors because they allow for greater transparency with respect to key financial metrics that the company uses in making operating decisions and because the company believes that investors and analysts use them to help assess the health of its business and for comparison to other companies. Non-GAAP results are presented for supplemental informational purposes only for understanding the company’s operating results. The non-GAAP information should not be considered a substitute for financial information presented in accordance with GAAP and may be different from non-GAAP measures used by other companies.

With respect to its financial results for the second quarter of fiscal year 2027, the company has provided below reconciliations of its non-GAAP financial measures to its most directly comparable GAAP financial measures. With respect to the company’s expectations for the third quarter of fiscal year 2027, a reconciliation of non-GAAP gross margin and non-GAAP operating expenses guidance to the closest corresponding GAAP measure is not available without unreasonable efforts on a forward-looking basis due to the high variability and low visibility with respect to the charges excluded from these non-GAAP measures. We expect the variability of the above charges to have a significant, and potentially unpredictable, impact on our future GAAP financial results.

AMBARELLA, INC.CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS(in thousands, except share and per share data)(unaudited)           Three Months Ended July 31, Six Months Ended July 31,   2026   2025   2026   2025      Revenue $108,125  $95,511  $208,482  $181,383          Cost of revenue  45,709   39,280   87,477   73,616 Gross profit  62,416   56,231   121,005   107,767          Operating expenses:        Research and development  50,581   59,734   108,721   118,553 Selling, general and administrative  19,978   18,486   39,843   37,061          Total operating expenses  70,559   78,220   148,564   155,614          Loss from operations  (8,143)  (21,989)  (27,559)  (47,847)         Other income, net  1,806   2,247   3,889   4,422          Loss before income taxes  (6,337)  (19,742)  (23,670)  (43,425)         Provision for income taxes  352   253   1,112   898          Net loss $(6,689) $(19,995) $(24,782) $(44,323)         Net loss per share attributable to ordinary shareholders:       Basic $(0.15) $(0.47) $(0.57) $(1.05)Diluted $(0.15) $(0.47) $(0.57) $(1.05)Weighted-average shares used to compute net loss per share       attributable to ordinary shareholders:        Basic  44,005,576   42,546,979   43,805,429   42,383,475 Diluted  44,005,576   42,546,979   43,805,429   42,383,475  The following tables present details of stock-based compensation, acquisition-related costs and development project termination credit, included in each functional line item in the condensed consolidated statements of operations above:

 Three Months Ended July 31,  Six Months Ended July 31,  2026
  2025
  2026
  2025
  (unaudited, in thousands) Stock-based compensation:           Cost of revenue$951  $780  $1,734  $1,731 Research and development 14,007   16,972   27,721   34,557 Selling, general and administrative 7,742   7,436   15,138   15,030             Total stock-based compensation$22,700  $25,188  $44,593  $51,318   Three Months Ended July 31,  Six Months Ended July 31,  2026
  2025
  2026
  2025
  (unaudited, in thousands) Acquisition-related costs:           Cost of revenue$757  $757  $1,514  $1,514 Research and development —   —   —   — Selling, general and administrative 456   456   912   912             Total acquisition-related costs$1,213  $1,213  $2,426  $2,426   Three Months Ended July 31,  Six Months Ended July 31,  2026
 2025
  2026
 2025
  (unaudited, in thousands) Development project termination credit:         Cost of revenue$—  $—  $—  $— Research and development (9,000)  —   (9,000)  — Selling, general and administrative —   —   —   —           Total development project termination credit$(9,000) $—  $(9,000) $—  The difference between GAAP and non-GAAP gross margin was 1.6% and 1.6%, or $1.7 million and $1.5 million, for the three months ended July 31, 2026 and 2025, respectively. The difference between GAAP and non-GAAP gross margin was 1.6% and 1.8%, or $3.2 million and $3.2 million, for the six months ended July 31, 2026 and 2025, respectively. The differences were due to the effect of stock-based compensation and acquisition-related costs.

AMBARELLA, INC.RECONCILIATION OF GAAP TO NON-GAAP DILUTED EARNINGS (LOSSES) PER SHARE(in thousands, except share and per share data)         Three Months Ended July 31, Six Months Ended July 31, 2026
 2025
 2026
 2025
 (unaudited)GAAP net loss$(6,689) $(19,995) $(24,782) $(44,323)        Non-GAAP adjustments:       Stock-based compensation expense 22,700   25,188   44,593   51,318 Acquisition-related costs 1,213   1,213   2,426   2,426 Development project termination credit (9,000)  —   (9,000)  — Income tax effect 9   22   29   36 Non-GAAP net income$8,233  $6,428  $13,266  $9,457         GAAP - diluted weighted average shares 44,005,576   42,546,979   43,805,429   42,383,475 Non-GAAP - diluted weighted average shares 44,515,009   42,946,324   44,207,416   42,698,780         GAAP - diluted net loss per share$(0.15) $(0.47) $(0.57) $(1.05)Non-GAAP adjustments:       Stock-based compensation expense 0.52   0.59   1.02   1.21 Acquisition-related costs 0.03   0.03   0.06   0.06 Development project termination credit (0.20)  —   (0.21)  — Income tax effect —   —   —   — Effect of Non-GAAP - diluted weighted average shares (0.02)  —   —   — Non-GAAP - diluted net income per share$0.18  $0.15  $0.30  $0.22  AMBARELLA, INC.CONDENSED CONSOLIDATED BALANCE SHEETS(unaudited, in thousands)     July 31, January 31,  2026   2026     ASSETS   Current assets:   Cash and cash equivalents$101,850  $191,019 Marketable debt securities 170,482   121,552 Accounts receivable, net 37,440   39,180 Inventories 76,923   52,246 Restricted cash 442   442 Prepaid expenses and other current assets 6,885   5,836 Total current assets 394,022   410,275     Property and equipment, net 12,061   11,553 Intangible assets, net 56,672   58,046 Operating lease right-of-use assets, net 10,923   12,118 Goodwill 303,625   303,625 Other non-current assets 2,902   2,983     Total assets$780,205  $798,600     LIABILITIES AND SHAREHOLDERS' EQUITY   Current liabilities:   Accounts payable 26,478   54,029 Accrued and other current liabilities 86,490   97,964 Operating lease liabilities, current 2,229   2,027 Income taxes payable 2,309   1,531 Deferred revenue, current 20,865   22,393 Total current liabilities 138,371   177,944     Operating lease liabilities, non-current 10,413   11,408 Other long-term liabilities 11,105   14,459     Total liabilities 159,889   203,811     Shareholders' equity:   Preference shares —   — Ordinary shares 20   19 Additional paid-in capital 973,864   922,119 Accumulated other comprehensive income (loss) (864)  573 Accumulated deficit (352,704)  (327,922)Total shareholders’ equity 620,316   594,789     Total liabilities and shareholders' equity$780,205  $798,600  Contact: Louis Gerhardy
408.636.2310
[email protected]
2026-07-31 18:34 2mo ago
2026-07-31 13:06 2mo ago
NXP jedná o koupi Ambarella
AMBA Ambarella
FMP Stock News 88
Original source text
The NXP Semiconductors logo appears in this illustration taken August 25, 2025. REUTERS/Dado Ruvic/Illustration Purchase Licensing Rights, opens new tab

July 31 (Reuters) - NXP Semiconductors (NXPI.O), opens new tab is in talks ‌to buy chip designer Ambarella (AMBA.O), opens new tab, the Financial Times reported on Friday, citing ​people familiar with the matter.

Shares ​of Ambarella, which has a market ⁠capitalization of $3.25 billion, jumped about 19%, ​while NXP shares fell more ​than 3%, following the report.

The Reuters Daily Briefing newsletter provides all the news you need to start your day. Sign up here.

A potential deal can bolster NXP's capabilities in software-defined vehicles, radar and ​electrification, as Ambarella develops low-power ​AI chips and software for edge devices ‌such ⁠as cameras, vehicles and robotics.

Discussions are ongoing and might not lead to a transaction, FT said.

NXP ​declined a ​Reuters requests ⁠for comment, while Ambarella did not immediately respond.

The development ​comes after NXP forecast quarterly revenue ​above ⁠analysts' estimates on Tuesday, signaling strong demand for its chips in ⁠automotive, ​industrial and data-center ​markets.

Reporting by Juby Babu in Mexico City; Editing ​by Vijay Kishore and Joyjeet Das

Our Standards: The Thomson Reuters Trust Principles., opens new tab
2026-06-30 21:04 3mo ago
2026-06-30 15:43 3mo ago
Ambarella roste po tipu Rosenblatta pro physical AI
AMBA Ambarella
FMP Stock News 78
Original source text
Shares of Ambarella Inc. AMBA surged about 28% on Tuesday.

The rally came after Rosenblatt Securities identified the edge artificial intelligence chipmaker as one of its top technology stock picks for the second half of 2026, citing its strong positioning in the fast-growing physical AI market.

The brokerage included Ambarella among a select group of eight technology companies it believes offer attractive risk-reward profiles heading into the second half of the year.

Rosenblatt maintained a Buy rating on the stock and reiterated its $120 price target, implying approximately 79% upside from Monday's closing price.

The rally adds to an already strong run for the semiconductor company, whose shares have climbed 74% over the past three months.

Rosenblatt's bullish outlook centers on Ambarella's exposure to what it describes as the rapidly expanding physical AI market, where artificial intelligence is deployed directly on devices rather than relying solely on cloud-based computing.

The brokerage expects AI adoption to continue expanding beyond data centers into real-world applications that require intelligent processing close to the source of data.

"We see AMBA as a Physical AI pure play," analyst Kevin Cassidy wrote in a report released Tuesday.

Cassidy said Ambarella's semiconductor products are well positioned to benefit from growing demand for edge AI computing across multiple industries.

Edge AI applications remain a key growth driverRosenblatt's investment thesis is based largely on increasing demand for AI vision processors capable of delivering high-performance computing with low power consumption directly at the edge.

"Applications such as surveillance, robotics, industrial automation, drones and autonomous systems require high-performance, low-power AI vision processors close to the sensor," Cassidy said, adding, "Ambarella's algorithm first AI [security operations center] architecture delivers."

The brokerage believes these markets position Ambarella to benefit as AI inference increasingly shifts from centralized cloud infrastructure to connected devices such as cameras, autonomous vehicles, robots and industrial equipment.

Recent business developments also support that outlook. Ambarella recently reported record fiscal 2026 revenue, with Edge AI products accounting for approximately 80% of its business.

The company also signed a long-term agreement with Hanwha Group covering security, robotics and industrial automation.

The agreement represents a potential revenue opportunity of up to $800 million over more than a decade, although that figure is not guaranteed.

Despite the positive outlook, Ambarella continues to face execution challenges as it invests heavily to expand its Edge AI business.

The company's long-term growth thesis depends on its Edge AI system-on-chip platforms becoming a critical hardware layer as AI inference moves closer to cameras, vehicles and industrial devices.

Broader enterprise adoption and increased automotive deployments remain key catalysts for the business.

At the same time, higher research and development spending and rising operating costs could pressure financial performance if expected design wins and production volumes fail to materialize.

Ambarella also continues to face customer and geographic concentration risks, which could affect future growth.

According to long-term projections, Ambarella is expected to generate approximately $526.3 million in revenue and $74.3 million in earnings by 2028.

Achieving those figures would require annual revenue growth of about 14.8% and a significant improvement in profitability from its current earnings position.