Cerebras Systems (NASDAQ:CBRS) and Camtek (NASDAQ:CAMT) Financial Comparison

Cerebras Systems (NASDAQ:CBRS) and Camtek (NASDAQ:CAMT) are both technology companies, but which is the better stock? We will contrast the two businesses based on the strength of their profitability, earnings, analyst recommendations, dividends, institutional ownership, valuation and risk.

Institutional & Insider Ownership

41.9% of Camtek shares are owned by institutional investors. 79.4% of Camtek shares are owned by company insiders. Strong institutional ownership is an indication that large money managers, hedge funds and endowments believe a company is poised for long-term growth.

Profitability

This table compares Cerebras Systems and Camtek’s net margins, return on equity and return on assets.

	Net Margins	Return on Equity	Return on Assets
Cerebras Systems	N/A	N/A	N/A
Camtek	9.63%	22.26%	11.70%

Valuation & Earnings

This table compares Cerebras Systems and Camtek”s revenue, earnings per share (EPS) and valuation.

	Gross Revenue	Price/Sales Ratio	Net Income	Earnings Per Share	Price/Earnings Ratio
Cerebras Systems	$603.88 million	80.39	N/A	N/A	N/A
Camtek	$496.07 million	13.88	$50.72 million	$0.87	169.66

Camtek has lower revenue, but higher earnings than Cerebras Systems.

Analyst Recommendations

This is a breakdown of current ratings for Cerebras Systems and Camtek, as provided by MarketBeat.

	Sell Ratings	Hold Ratings	Buy Ratings	Strong Buy Ratings	Rating Score
Cerebras Systems	0	2	9	1	2.92
Camtek	0	7	7	0	2.50

Cerebras Systems presently has a consensus target price of $300.30, indicating a potential upside of 40.13%. Camtek has a consensus target price of $174.67, indicating a potential upside of 18.34%. Given Cerebras Systems’ stronger consensus rating and higher probable upside, equities research analysts plainly believe Cerebras Systems is more favorable than Camtek.

Summary

Cerebras Systems beats Camtek on 6 of the 11 factors compared between the two stocks.

About Cerebras Systems

We are building the fastest AI infrastructure in the world. In AI, speed is critical to win. Speed improves user engagement, expands product capabilities, can lower operating costs, and opens new markets. It shortens iteration cycles for engineers, researchers, and professionals across industries, allowing them to be more productive. Speed unlocks new applications and new industries. In technology, “speed unlocking value” is a pattern that has repeated itself over the past 30 years. Faster solutions are used more often and for more demanding tasks. For example, the speed of broadband transformed the internet from static pages into real-time applications, enabling new products and industries. Similarly, in search, Google showed that even short delays in delivering answers significantly reduced usage and engagement. AI repeats this pattern. As AI has moved from novelty to necessity, AI work has grown more demanding, and speed has become a bottleneck. Faster AI does more work in less time, providing better answers sooner. Our solutions are built for speed. Cerebras Inference delivers answers up to 15 times faster than leading GPU-based solutions as benchmarked on leading open-source models. Similarly, many customers have achieved more than 10 times faster training time-to-solution compared to leading GPU systems of the same generation. These performance breakthroughs are the result of our core innovation: the world’s first and only commercialized wafer-scale processor. Called the Wafer-Scale Engine (“WSE”), our processor is 58 times larger than NVIDIA’s B200 chip and has 2,625 times more memory bandwidth than NVIDIA’s B200 package, which contains two individual chips. To build the WSE, we solved the 75-year-old compute industry problem of wafer-scale integration to produce, yield, power, and cool a chip of this size. This size is what enables our incredible AI speeds. By bringing massive compute and memory onto a single piece of silicon and integrating it into a purpose-built system and software stack, we deliver exceptional AI speed for customers on premises and via the cloud. Our strategic partners and customers include hyperscalers, foundation model labs, AI-native and digital-native businesses, enterprises, and Sovereign AI initiatives. OpenAI, the world’s leading foundation model lab, selected us to be its fast inference solution. With Cerebras, OpenAI’s Codex-Spark users turn ideas into working software in seconds. Amazon Web Services (“AWS”), the world’s leading hyperscale cloud, has signed a binding term sheet with us to become the first hyperscaler to deploy Cerebras in its own data centers, providing massive distribution to a broad base of enterprise customers. Our customers use Cerebras solutions to run applications that demand speed, scale, and intelligence. This work includes training and serving large frontier models with near-instant responses, processing massive datasets in real time, and generating full-stack applications in a single step. Once customers adopt fast inference, user expectations for interactivity rise, and engineering teams shift from latency optimizations to other work, making it difficult to return to slower inference. We deliver our solutions to customers in several different ways. Organizations that require full data and infrastructure control can purchase Cerebras AI supercomputers for on-premises deployments. Customers seeking cloud flexibility can access Cerebras compute through consumption-based models on Cerebras Cloud or through partner clouds. For example, our high-speed inference services are available through partners, including AWS Marketplace, Microsoft Marketplace, IBM watsonx Model Gateway, Vercel AI Gateway, OpenRouter, and Hugging Face, enabling seamless adoption within existing workflows. Our ability to deliver differentiated performance has made us a strategic partner to many of our largest customers. Beyond providing compute infrastructure, we provide AI services to our customers to co-develop solutions to address their most complex challenges, from training state-of-the-art models to optimizing deployments for each application’s needs. These partnerships have expanded over time; notably, our top ten customers by year-to-date revenue through December 31, 2025 increased their aggregate spend with us by approximately 80% within 12 months of their initial purchase, often including contracts for co-development. AI is one of the fastest growing technologies in history. We believe that our high-speed AI solutions give us a meaningful competitive advantage in this market. We believe that further adoption of AI, accelerated by increased penetration, more frequent usage, and more complex applications, will continue to rapidly expand the market. According to IDC, investments in AI solutions and services are projected to yield a global cumulative impact of $22.3 trillion by 2030, representing approximately 3.7% of the global gross domestic product (“GDP”). The combined market for AI training infrastructure and our addressable market within AI inference is estimated to be $251 billion in 2025 and is expected to grow to $672 billion by 2029—a 28% CAGR, according to Bloomberg Intelligence. This estimate indicates that AI inference will grow more than twice as fast as AI training infrastructure through 2029. With the fastest inference platform on the market, as benchmarked by Artificial Analysis, and a proven track record in large-scale training, we believe we are well-positioned to capture growth across both parts of the AI infrastructure market. Our growth reflects the broader acceleration of AI adoption. We were incorporated in April 2016 as a Delaware corporation. Our principal executive offices are located in Sunnyvale, California.

About Camtek

Camtek Ltd., together with its subsidiaries, develops, manufactures, and sells inspection and metrology equipment for semiconductor industry. The company provides Eagle-i, a system that delivers 2D inspection and metrology capabilities; Eagle-AP, which addresses the advanced packaging market using software and hardware technologies that deliver superior 2D and 3D inspection and metrology capabilities on the same platform; and Golden Eagle, a panel inspection and metrology system to address the challenges fanout wafer level packaging applications. It also develops automatic defect classification, which provides automatic defect classification of color images utilizing deep learning techniques to reduce and eliminate manual verification. In addition, the company offers MicroProf AP, a wafer metrology tool for applications at 3D packaging process steps; MicroProf DI, an optical inspection tool that enables inspection of structured and unstructured wafers for manufacturing process; MicroProf FE, a 2D/3D wafer metrology tool that serve front end HVM fab; MicroProf FS, an wafer metrology tool configurable for wafer foundry; MicroProf PT for hybrid metrology applications to common panel sizes; MicroProf MHU metrology tool, a material handling unit for semiconductor, MEMS, sapphire, and LED industries; MicroProf TL, an optical surface measurement tool for fully automatic 3D surface measurements; MicroProf 100, a universal surface metrology tool for determination of topography and film and sample thickness; MicroProf 200, a measuring device for contactless and non-destructive characterization of surfaces and films; and MicroProf 300, a SurfaceSens technology for quality assurance, development, and manufacturing. It serves semiconductor manufacturers, outsourced semiconductor assembly and test, integrated device manufacturers, and wafer level packaging subcontractors. Camtek Ltd. was incorporated in 1987 and is headquartered in Migdal Haemek, Israel.