Synaptics Incorporated develops semiconductor solutions for intelligent connected devices across IoT, PC, mobile and edge-AI markets. Company news commonly covers financial results, Core IoT product sales, design wins, and investor-conference activity, alongside updates to embedded compute, wireless connectivity and multimodal sensing products.
Recurring product developments include the Synaptics Astra AI-native embedded compute portfolio, Veros wireless connectivity, touch, display, biometrics, video, vision, audio, speech and security processing. Recent announcements also describe Edge AI boards, AI-native microcontrollers, Wi-Fi 7 connectivity, Bluetooth, Thread/Zigbee and on-device inference for smart home, industrial IoT, robotics, wearables and audio applications.
Synaptics (SYNA) has unveiled its new SYN461x family of ultra-low-power Triple Combo connectivity SoCs, targeting a $3.2 billion market opportunity. The system-on-chip solutions combine Wi-Fi 2.4/5/6 GHz, Bluetooth 6.0/BLE, and IEEE 802.15.4 (Zigbee/Thread) capabilities.
The Matter-compliant SoCs are specifically designed for embedded Edge AI IoT applications, featuring advanced Bluetooth capabilities including Channel Sounding and LE Audio with Auracast. Key applications include wearables, smart watches, audio devices, home appliances, security cameras, and factory automation.
Technical highlights include: connectivity up to 50 Mbps, integrated Tx/Rx switch, LNAs, and PAs for reduced system costs, low-pin-count WLBGA package option for 25% reduction in board costs, integrated processor for host offloading, and Secure Boot functionality. The SYN461x family is currently available for purchase.
Synaptics (SYNA) has expanded its Astra AI-Native platform with the new SR-Series high-performance adaptive microcontroller units (MCUs) for Edge AI computing. The series features three power tiers: performance (100 GOPS), efficiency, and ultra-low-power always-on, built on Arm® architecture.
The SR-Series includes three MCUs (SR110, SR105, and SR102), featuring Arm Cortex-M55 cores running at 400 MHz. Key specifications include:
- Up to 4 MB system memory
- Streaming vision and audio processing
- MIPI-CSI camera input
- Advanced security features including AES-256
These MCUs are designed for multimodal consumer, enterprise, and industrial IoT applications, enabling integration into devices like battery-operated security cameras, sensors, appliances, and digital signage. The series is supported by the Astra Machina Micro development kit and open-source SDK.
Synaptics (SYNA) is set to showcase groundbreaking innovations in Edge AI and wireless connectivity at Embedded World 2025 in Nuremberg, Germany. The company will unveil new families of microcontroller units (MCUs) and wireless systems-on-chips (SoCs) designed for ultra-low-power IoT devices.
The new solutions combine contextually-aware AI, multimodal processing, and reliable wireless connectivity at competitive costs. Target applications include smartwatches, wearables, consumer audio, appliances, security cameras, asset trackers, and factory automation systems.
At booth #4A-259, Synaptics will demonstrate several innovations with partners including: contextually aware AI with Leedarson and Fraunhofer Institute, AI hubs with Arcadyan, industrial vision systems with Arcturus, and AI-enabled Wi-Fi sensing. The company will also showcase automotive dashboard display technology featuring their SB7900 SmartBridge™ processor.
Synaptics (SYNA) announced it will grant restricted stock unit (RSU) awards to 104 new employees who joined following the recently completed asset purchase transaction with Broadcom. The transaction, which closed on January 30, 2025, includes a licensing agreement for Broadcom's advanced wireless technologies including Wi-Fi 8, ultra-wideband, Wi-Fi 7, Bluetooth, and GPS/GNSS products for IoT and Android ecosystem.
The company will grant 1,006,506 RSUs under its 2025 Inducement Equity Plan, approved by the compensation committee. These RSUs are being granted as substitution for Broadcom equity awards and as inducement for employment. The vesting schedule includes 50% on the first anniversary and the remaining 50% vesting quarterly until the second anniversary, subject to continued employment.
Synaptics (SYNA) reported its Q2 fiscal 2025 financial results with revenue of $267.2 million. The company achieved GAAP gross margin of 45.7% and non-GAAP gross margin of 53.6%. GAAP diluted earnings per share reached $0.05, while non-GAAP diluted EPS was $0.92.
Key highlights include signing a new agreement with Broadcom to accelerate Edge AI strategy and the repurchase of approximately one million shares for $74.5 million. The company reported GAAP net income of $1.8 million and non-GAAP net income of $36.6 million.
Core IoT products demonstrated strong performance with 63% year-over-year growth. Management noted stable to improving trends in most end markets, though Q3 is expected to see seasonal decline. The company maintains a strong balance sheet and positive cash flow.
Synaptics (SYNA) announced that CEO Michael Hurlston is stepping down effective immediately to join Lumentum Holdings as CEO. CFO Ken Rizvi has been appointed Interim CEO, while Board Chairman Nelson Chan will serve as Executive Chairman during the transition. The company has initiated a search for a permanent CEO, considering both internal and external candidates.
Additionally, Synaptics released preliminary fiscal Q2 2025 financial results, expecting revenue of $267 million. The company anticipates gross margins to align with previous guidance midpoint, operating expenses slightly above midpoint, and EPS above the midpoint of guidance provided on November 7, 2024. The company will report detailed Q2 fiscal 2025 results on February 6, 2025.
Synaptics (SYNA) has signed a definitive licensing agreement with Broadcom, advancing its Edge AI strategy. The agreement includes Wi-Fi 8, ultra-wideband (UWB), Wi-Fi 7, advanced Bluetooth, and next-generation GPS/GNSS technologies for IoT and Android ecosystem applications.
The strategic benefits include solidifying Synaptics' leadership in end-to-end AI IoT connectivity, securing its Veros wireless product roadmap for 5+ years, and expanding into new markets including AR/VR platforms, Android smartphones, and consumer audio. The deal is expected to generate $40+ million in annualized sales and be immediately accretive to non-GAAP EPS.
The all-cash transaction is set to close on January 30, 2025, with further details to be discussed during the fiscal Q2 2025 investor conference call on February 6th, 2025.
Synaptics (SYNA) has announced it will release its second quarter fiscal 2025 financial results on Thursday, February 6, 2025, after market close. The company will host a conference call for analysts and investors at 2:00 p.m. PT (5:00 p.m. ET) on the same day to discuss the results.
Synaptics (SYNA) has announced its upcoming participation in the 27th Annual Needham Growth Conference. The company's President and CEO, Michael Hurlston, is scheduled to present on Wednesday, January 15, 2025, at 10:30 AM PT. The presentation will be accessible via webcast, and interested parties can view the live stream or access a replay through the provided link at wsw.com/webcast/needham143/syna/2271566.
Synaptics (SYNA) has announced a strategic collaboration with Google to advance Edge AI technology for IoT devices. The partnership will integrate Google's MLIR-compliant ML core with Synaptics' Astra™ AI-Native hardware and open-source software platform.
The collaboration aims to accelerate the development of context-aware AI devices that can process multiple modalities including vision, image, voice, and sound. These applications will span across wearables, appliances, entertainment, embedded hubs, and monitoring systems in consumer, enterprise, and industrial sectors.
The Synaptics Astra platform combines low-power compute silicon with open-source software, tools, and wireless connectivity. This integration leverages Synaptics' expertise in neural networks and AI hardware design, while Google's ML core provides efficient open-source machine learning capabilities compliant with MLIR compiler standards.