Cognex (NASDAQ:CGNX) Chief Financial Officer Dennis Fehr said the machine-vision company sees a strong demand backdrop, expects continued margin expansion and views artificial intelligence as a growth catalyst rather than a competitive threat.
Speaking at a company news event, Fehr described Cognex as a provider of machine-vision tools used in factories and warehouses for defect inspection, barcode reading, optical character recognition, robotic guidance and measurement. He said the company operates in an estimated $7 billion market growing at a 10% to 11% compound annual rate, according to Interact Analysis.
Demand Outlook and Seasonality
Fehr said Cognex upgraded its growth outlook for four of its five end markets, citing a more constructive macroeconomic environment. He pointed to purchasing managers’ indexes that have remained in expansion territory for roughly six months and are around 55, which he said suggests the industrial cycle may still have room to run.
The company reported record quarterly revenue in the second quarter in the approximately $290 million range and issued third-quarter guidance with a midpoint of $310 million, which would represent another quarterly record if achieved, according to Fehr.
He cautioned, however, that the second and third quarters benefit from consumer-electronics seasonality. Electronics contributes meaningfully in those periods but has limited impact in the first and fourth quarters, he said. As a result, Fehr said any sequential decline implied between the third and fourth quarters should not be interpreted as evidence of weakening demand.
“We would not take this as an indication that the growth rate year-over-year and that there is a sequential step down from Q3 into Q4 as any signs of a weaker demand environment,” Fehr said. “We think it is more a seasonality effect.”
Margins and Cost Structure
Fehr said Cognex has made substantial progress on profitability since 2024, when adjusted EBITDA margin was 17%. The company is targeting $35 million in annualized operating-expense reductions by the end of the year and expects total 2026 adjusted operating expenses to be below 2025 levels in absolute dollars.
In the second quarter, Cognex generated what Fehr characterized as 100% flow-through from revenue to the bottom line. For the full year, the company expects roughly 87% flow-through, he said.
Looking beyond the current initiatives, Fehr said Cognex does not expect to pursue further cost reductions in 2027, but also does not anticipate needing to add significant costs as revenue grows. The company plans to continue automation and process-improvement efforts, potentially holding operating-expense growth near inflationary levels.
He said long-term revenue flow-through could be around 60%, while 2027 could fall between that level and the current year’s expected 87%. Cognex reported a 32% EBITDA margin in the latest quarter and guided to a 33% midpoint for the third quarter, though Fehr noted that the company’s 25% to 31% long-term margin range is intended as an annual measure and can be exceeded in seasonally strong quarters.
Electronics, Semiconductors and AI
Consumer electronics, which represents about 20% of Cognex revenue, has experienced broad-based growth this year, Fehr said. Drivers include supply-chain reallocation out of China, new device categories and form factors such as glasses and other wearables, and increased activity connected to data centers.
Fehr said the company is particularly encouraged because growth has not been dependent on a single technology transition. He characterized data centers as a new component of the market Cognex has historically called consumer electronics and said the diversity of demand supports confidence that the growth could extend beyond one year.
Semiconductors, which account for about 10% of Cognex’s portfolio, are also seeing strong demand, particularly from memory-related investment. Cognex supplies products to semiconductor capital-equipment manufacturers and is positioned to grow alongside that market, Fehr said.
Higher memory-chip prices are also raising Cognex’s own costs. Fehr said the company is seeing prices roughly two to three times higher than a 2025 baseline and increased its expected third-quarter impact to 75 basis points from an earlier estimate of 50 basis points. Still, he said Cognex expects to offset the pressure through pricing actions and remains a net beneficiary of the broader memory demand trend.
On AI, Fehr said Cognex has been developing AI-based machine-vision capabilities for nearly a decade, including its acquisition of Switzerland-based ViDi in late 2017 or early 2018. The company launched its first AI-enabled product in 2022, and subsequent product introductions have included AI machine-vision capabilities, he said.
Fehr highlighted Cognex’s OneVision platform, which allows customers to train models in the cloud using proprietary data and then deploy those models to edge devices for inspections. He said the approach gives customers cloud-based training capacity while maintaining the speed and data-security benefits of edge-based inspection. OneVision became fully commercially available about two months ago, and Cognex has seen “good attach rates” so far, according to Fehr.
Fehr said large language models are not currently viewed as a major risk because factory-automation inspections require highly specialized models capable of identifying small, specific defects. Cognex uses pre-trained models based on factory-automation data, he said.
Finally, Fehr said Cognex sees an opportunity for acquisitions to support diversification into adjacent markets, though he said the company does not believe it needs significant technology bolt-on deals given its current technology stack. Potential acquisitions could provide technology or sales synergies, but Fehr said there was nothing to announce.
About Cognex (NASDAQ:CGNX)
Cognex Corporation is a leading provider of machine vision systems, software, sensors and industrial barcode readers used to automate manufacturing, logistics and distribution processes. The company designs and develops vision-based products that help manufacturers and logistics operators inspect, identify and guide parts, assemblies and packaged goods in real time. Its solutions are applied in a broad range of industries, including automotive, electronics, semiconductor, pharmaceutical, food and beverage, and general manufacturing.
The company’s product portfolio includes stand-alone vision systems, vision sensors and deep learning-based software platforms that enable automated inspection, quality control and traceability.
