CGNX Stock: Insider Activity, Filings & Research

Cognex Corporation (CGNX) — Drillr’s hub for CGNX insider activity, SEC filings, earnings signals and AI research. Over the trailing 3 months, CGNX insiders filed 0 open-market buys and 7 sales (SEC Form 4).

Sentiment

0/100

Buys (3m)

Sells (3m)

Net (3m)

-$3.9M

Insider trades by month Buys Sells

Feb

Mar

Sep

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Feb

May

Context3-month price +24.2%Institutions accumulating (13F)

Date	Insider	Type	Shares	Price
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	4,500	$56.44
May 28, 2026	Long Darren Marcofficer: Vice President	Option	5,498	$49.12
May 28, 2026	Long Darren Marcofficer: Vice President	Option	4,500	$56.44
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	23,981	$50.01
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	16,658	$49.12
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	11,211	—
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	7,231	$57.09
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	3,169	—
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	8,675	$51.49
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	20,328	$47.21
May 28, 2026	Long Darren Marcofficer: Vice President	Sell	5,498	$66.32
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	10,758	$64.43
May 28, 2026	Long Darren Marcofficer: Vice President	Grant	2,500	—
May 28, 2026	Long Darren Marcofficer: Vice President	Option	8,675	$51.49
May 28, 2026	Long Darren Marcofficer: Vice President	Sell	1,579	$66.52

Source: CGNX SEC Form 4 filings, latest May 28, 2026. For informational purposes only — not investment advice.

Overview

Cognex Corporation (NASDAQ:CGNX) is a leading provider of machine vision systems and industrial barcode readers founded in 1981 and headquartered in Natick, Massachusetts. The company went public in 1989 and has established itself as a pioneer in machine vision technology that enables automated manufacturing and quality control processes across various industries. Cognex develops both hardware and software solutions that allow machines to "see" and analyze visual information to make automated decisions in manufacturing environments.

Business

Cognex operates in the industrial automation sector, specifically focusing on machine vision technology - systems that use cameras, lighting, and sophisticated software to capture and analyze visual information for automated decision-making in manufacturing processes. Machine vision systems essentially give machines the ability to "see" and interpret visual data, replacing human visual inspection with automated processes that can detect defects, measure dimensions, verify assembly, and guide robotic operations. The company's core products fall into several categories. VisionPro is Cognex's flagship software platform that provides advanced programming tools for complex vision applications, while QuickBuild offers a more user-friendly, flowchart-based programming interface for simpler applications. The In-Sight product line consists of smart cameras and vision systems that combine imaging hardware with embedded vision software for standalone operation. DataMan represents their barcode reading solutions, which use image-based technology to read and verify barcodes in challenging industrial environments. Recently, Cognex has been heavily investing in artificial intelligence capabilities, launching products like VisionPro Deep Learning and Edge Learning technology that use AI to solve complex vision tasks that traditional rule-based systems cannot handle effectively. These AI-powered solutions can learn from examples rather than requiring detailed programming, making machine vision more accessible to a broader range of customers. The company serves multiple end markets with varying revenue contributions: automotive manufacturing (approximately 25% of revenue), consumer electronics (approximately 20%), logistics and e-commerce (approximately 20%), and emerging segments like semiconductor manufacturing and packaging. Each sector uses machine vision for different applications - automotive for quality control and assembly verification, consumer electronics for component inspection, logistics for package sorting and tracking, and semiconductors for wafer inspection and chip manufacturing quality control.

Revenue model

Cognex generates revenue primarily through product sales of both hardware and software components. The business model centers on selling integrated machine vision systems that combine proprietary cameras, lighting, and software to industrial customers who integrate these systems into their manufacturing lines. Revenue comes from initial system sales, software licensing, and ongoing service and support contracts. The company's customers are primarily manufacturing companies across various industries, as well as system integrators who incorporate Cognex's vision technology into larger automation solutions. Pricing is typically project-based, with systems ranging from thousands to hundreds of thousands of dollars depending on complexity and application requirements. Several factors influence Cognex's profitability and margins. Positive margin drivers include the company's strong intellectual property portfolio in machine vision algorithms, which provides pricing power and differentiation. The shift toward AI-powered solutions allows Cognex to charge premium prices for more sophisticated capabilities. Additionally, the company's focus on expanding into new customer segments through easier-to-use products can drive volume growth. Negative margin pressures include increasing competition from Chinese machine vision companies offering lower-cost alternatives, cyclical downturns in key end markets like automotive and consumer electronics, and the need for continued heavy investment in R&D to maintain technological leadership. Currency fluctuations also impact margins given the company's global operations, and supply chain disruptions can affect component costs and availability. The company has been investing significantly in sales force expansion to reach smaller customers who previously couldn't justify machine vision implementations, representing a shift from serving primarily large OEMs to a broader customer base that could number in the hundreds of thousands rather than tens of thousands.

Competitive moat

Cognex possesses a moderate to strong competitive moat built primarily on technological expertise and intellectual property in machine vision algorithms. The company has accumulated decades of experience in developing sophisticated vision software and holds numerous patents in machine vision technology. This technical moat is particularly strong in complex applications requiring advanced image processing and AI capabilities, where Cognex's VisionPro and deep learning solutions offer superior performance compared to competitors. The company benefits from high switching costs once customers integrate Cognex systems into their manufacturing processes. Replacing machine vision systems requires significant engineering effort, retraining, and potential production line downtime, creating customer stickiness. Additionally, Cognex has built strong relationships with system integrators who are familiar with their technology and prefer to standardize on proven solutions. However, the moat faces several challenges. Competitive pressure is intensifying from Chinese machine vision companies offering lower-cost alternatives, particularly for simpler applications. As machine vision technology becomes more commoditized, especially with the proliferation of AI tools and open-source vision libraries, Cognex's premium pricing may become harder to justify for basic applications. The emergence of cloud-based AI services and more accessible development tools could potentially democratize machine vision capabilities, reducing barriers to entry for new competitors. The company's strategy to expand into emerging customer segments with easier-to-use products, while potentially expanding the market, also increases competition with simpler, lower-cost solutions. Cognex's moat remains strongest in complex, mission-critical applications where performance and reliability are paramount, but may weaken in commodity applications where price becomes the primary differentiator.

Risks & safety

Cognex demonstrates a strong financial position with substantial margin of safety, though trading at premium valuations. • Liquidity and Solvency: Excellent financial health with $186 million in cash and short-term investments, minimal debt (debt-to-equity ratio of 0.046), and strong current ratio of 3.6x indicating robust ability to meet short-term obligations • Cash Generation: Positive free cash flow of $134 million annually with strong operating cash flow conversion, eliminating solvency concerns • Valuation Metrics: Trading at elevated multiples - P/E ratio of 58x, EV/EBITDA of 41x, and P/B ratio of 4.1x, suggesting limited margin of safety from a valuation perspective • Profitability: Healthy gross margins around 70% and EBITDA margins in mid-teens, though ROE of 7% is modest • Other Considerations: Cyclical revenue exposure to automotive and consumer electronics creates earnings volatility, but strong balance sheet provides cushion during downturns

Recent development

Over the past few years, Cognex has undergone significant strategic transformation focused on artificial intelligence integration and market expansion. The company has systematically infused AI capabilities across its product portfolio, launching VisionPro Deep Learning 4.0 with transformer models, introducing the industry's first AI-enabled 3D smart camera (In-Sight L38), and developing Edge Learning technology that makes machine vision more accessible to non-technical users. A major strategic initiative has been the Emerging Customer Initiative, representing a fundamental shift in go-to-market strategy. Cognex has invested heavily in expanding its sales force to target smaller manufacturers who previously couldn't justify machine vision implementations. This initiative aims to broaden the customer base from approximately 30,000 to potentially hundreds of thousands of customers by offering easier-to-use, AI-powered solutions that require less technical expertise to deploy. The company completed the acquisition of Moritex, expanding into optical components and broadening its technology portfolio beyond traditional machine vision. Additionally, Cognex has been restructuring its reporting segments, adding packaging and semiconductor as distinct categories to better reflect market opportunities and performance. Recent product launches include the In-Sight 8900 smart camera with embedded AI and new DataMan series barcode readers with enhanced AI capabilities. The company has also been investing in operational efficiency and cost management while maintaining strong R&D spending to preserve technological leadership. Leadership transition is underway with CEO Rob Willett retiring and Matt Moschner taking over, representing a planned succession after multi-year preparation.

CGNX company profile · for informational purposes only — not investment advice.

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