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STMicroelectronics STM shares have plunged 47.5% on a year-to-date (YTD) basis against the Zacks Semiconductor-General industry and the Zacks Computer & Technology sector’s return of 126.4% and 32.3%, respectively.
Over the same time frame, shares of its competitors, including NVIDIA NVDA, Amtech Systems ASYS and Texas Instruments TXN, have climbed 172.7%, 31.2% and 11.5%, respectively.
This underperformance is a result of the decline in order entry and customer backlogs during the third quarter, particularly in the auto and industrial markets. It also shows a distinct change in consumer preferences, as they have decided to switch from fully battery electric vehicles (EVs) to hybrids and from premium to economy models.
However, the company has been focusing on expanding its portfolio to drive growth. To further expand its capabilities and provide a varied portfolio, STMicroelectronics recently brought the STM32N6 microcontroller (MCU) series online. The company claimed that the newly launched product is its most potent MCU series to date, which was the first to incorporate the Neural-ART Accelerator. According to STM, the STM32N6 MCU provides 600 times more machine-learning performance than a current high-end STM32 MCU.
For embedded systems and wearable technology, the STM32N6 offers outstanding flexibility and artificial intelligence (AI) performance in a tiny silicon package. STM’s developer-friendly software tools enable it to easily integrate AI models into the MCU, and the inference speed, driven by the revolutionary Neural-ART Accelerator, has surpassed its expectations.
STMicroelectronics N.V. Price and Consensus
STMicroelectronics N.V. price-consensus-chart | STMicroelectronics N.V. Quote
Expansion in the Industrial Market to Aid STM’s Growth
STMicroelectronics recently introduced the EVLDRIVE101-HPD motor-drive reference design, which is a noteworthy move. It features a 3-phase gate driver, STM32G0 microcontroller, and 750W power stage on a circular PCB that is only 50mm in diameter. This design easily fits into robots, drones and drives for industrial equipment like pumps and process automation systems.
The industrial end benefits from the recent introduction of ultra-low-power STM32 MCUs, which can reduce energy usage by as much as 50%. It lessens the impact of discarded batteries and the frequency of battery replacements, enabling designs that use energy-harvesting technologies like solar cells to function without batteries.
A significant innovation was made by STM with the release of ST Edge AI Suite, a unified set of software tools designed specifically to improve the creation and implementation of embedded AI applications.