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Synaptics (SYNA) Beats Q4 Earnings and Revenue Estimates
Synaptics (SYNA) Beats Q4 Earnings and Revenue Estimates

Yahoo

time4 days ago

  • Business
  • Yahoo

Synaptics (SYNA) Beats Q4 Earnings and Revenue Estimates

Synaptics (SYNA) came out with quarterly earnings of $1.01 per share, beating the Zacks Consensus Estimate of $1 per share. This compares to earnings of $0.64 per share a year ago. These figures are adjusted for non-recurring items. This quarterly report represents an earnings surprise of +1.00%. A quarter ago, it was expected that this maker of touch-screen technology would post earnings of $0.85 per share when it actually produced earnings of $0.9, delivering a surprise of +5.88%. Over the last four quarters, the company has surpassed consensus EPS estimates four times. Synaptics, which belongs to the Zacks Electronics - Semiconductors industry, posted revenues of $282.8 million for the quarter ended June 2025, surpassing the Zacks Consensus Estimate by 1.00%. This compares to year-ago revenues of $247.4 million. The company has topped consensus revenue estimates four times over the last four quarters. The sustainability of the stock's immediate price movement based on the recently-released numbers and future earnings expectations will mostly depend on management's commentary on the earnings call. Synaptics shares have lost about 21.3% since the beginning of the year versus the S&P 500's gain of 7.9%. What's Next for Synaptics? While Synaptics has underperformed the market so far this year, the question that comes to investors' minds is: what's next for the stock? There are no easy answers to this key question, but one reliable measure that can help investors address this is the company's earnings outlook. Not only does this include current consensus earnings expectations for the coming quarter(s), but also how these expectations have changed lately. Empirical research shows a strong correlation between near-term stock movements and trends in earnings estimate revisions. Investors can track such revisions by themselves or rely on a tried-and-tested rating tool like the Zacks Rank, which has an impressive track record of harnessing the power of earnings estimate revisions. Ahead of this earnings release, the estimate revisions trend for Synaptics was mixed. While the magnitude and direction of estimate revisions could change following the company's just-released earnings report, the current status translates into a Zacks Rank #3 (Hold) for the stock. So, the shares are expected to perform in line with the market in the near future. You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. It will be interesting to see how estimates for the coming quarters and the current fiscal year change in the days ahead. The current consensus EPS estimate is $1.06 on $286.65 million in revenues for the coming quarter and $4.31 on $1.15 billion in revenues for the current fiscal year. Investors should be mindful of the fact that the outlook for the industry can have a material impact on the performance of the stock as well. In terms of the Zacks Industry Rank, Electronics - Semiconductors is currently in the bottom 31% of the 250 plus Zacks industries. Our research shows that the top 50% of the Zacks-ranked industries outperform the bottom 50% by a factor of more than 2 to 1. One other stock from the same industry, GCT Semiconductor Holding, Inc. (GCTS), is yet to report results for the quarter ended June 2025. The results are expected to be released on August 12. This company is expected to post quarterly loss of $0.14 per share in its upcoming report, which represents a year-over-year change of -600%. The consensus EPS estimate for the quarter has remained unchanged over the last 30 days. GCT Semiconductor Holding, Inc.'s revenues are expected to be $2.26 million, up 53.7% from the year-ago quarter. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Synaptics Incorporated (SYNA) : Free Stock Analysis Report GCT Semiconductor Holding, Inc. (GCTS) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

TD Cowen Reduces PT on Synaptics (SYNA) Stock
TD Cowen Reduces PT on Synaptics (SYNA) Stock

Yahoo

time7 days ago

  • Business
  • Yahoo

TD Cowen Reduces PT on Synaptics (SYNA) Stock

Synaptics Incorporated (NASDAQ:SYNA) is one of the Most Undervalued Semiconductor Stocks to Buy According to Analysts. On May 9, TD Cowen reduced the company's price objective to $80 from $100, while keeping a 'Buy' rating, as reported by The Fly. The firm noted that its results were slightly above expectations thanks to the improving IoT revenues. In Q3 2025, Synaptics Incorporated (NASDAQ:SYNA) posted net revenues of $266.6 million. A technician inspecting a newly-manufactured semiconductor product. Furthermore, TD Cowen believes that Synaptics Incorporated (NASDAQ:SYNA) didn't see any signs of deteriorating consumer demand as backlog and order linearity remained healthy, with the trend potentially extending into the quarter ended September. That being said, the risk remains about the potential demand softness, added the firm. Synaptics Incorporated (NASDAQ:SYNA)'s strategic initiatives in the IoT market have been gaining traction. During Q3 2025, Synaptics Incorporated (NASDAQ:SYNA) rolled out numerous new products, such as Wi-Fi 7 solutions, broad markets devices, and next-generation Touch controllers, strengthening its portfolio and positioning it for long-term growth. Investment management company First Pacific Advisors released its Q4 2024 investor letter. Here is what the fund said: 'Synaptics Incorporated (NASDAQ:SYNA) designs and sells a collection of chip designs and technologies around wireless networking, data processing, and video/audio compression. The company is also the leader in chips that facilitate touchscreens in consumer devices and cars. After losing its contract for the iPhone display driver in 2018, SYNA has been re-orienting its business toward internet of things (IoT) – allowing edge and peripheral devices to quickly and efficiently process and send data. SYNA has concurrently been hit by the large cyclical slowdown and de-stocking in the semi-conductor industry that caused June 2024's fiscal year revenue to fall 29% while EPS fell 72%. We are cautiously optimistic regarding Synaptics' technology and a cyclical rebound and have continued to hold our shares.' While we acknowledge the potential of SYNA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: 13 Cheap AI Stocks to Buy According to Analysts and 11 Unstoppable Growth Stocks to Invest in Now Disclosure: None. This article is originally published at Insider Monkey.

Synaptics, Murata Partner to Develop Next-Gen Automotive Wireless Connectivity Modules
Synaptics, Murata Partner to Develop Next-Gen Automotive Wireless Connectivity Modules

Yahoo

time22-07-2025

  • Automotive
  • Yahoo

Synaptics, Murata Partner to Develop Next-Gen Automotive Wireless Connectivity Modules

Synaptics Incorporated (NASDAQ:SYNA) is one of the best small cap AI stocks to buy according to analysts. Earlier in May, Synaptics announced a partnership with Murata Manufacturing to jointly develop a next-gen turnkey wireless connectivity module for automotive Tier 1 suppliers and Original Equipment Manufacturers/OEMs. The collaboration will integrate Synaptics' Veros Wi-Fi and Bluetooth combo Systems-on-Chips (SoCs), which feature highly integrated RF front-ends, into a module co-developed with Murata. Synaptics' wireless SoCs are designed to optimize performance, minimize system design costs, and reduce power consumption. A close-up of discrete semiconductors in a manufacturing lab. Synaptics is using its Veros portfolio, which incorporates extensive expertise in IoT connectivity, to meet these requirements. The Veros portfolio for automotive applications includes the SYN4383 Wi-Fi 6E and SYN4384 Wi-Fi 7 products, which are pin-to-pin compatible and offer software upgradability. Synaptics Incorporated (NASDAQ:SYNA) develops, markets, and sells semiconductor products worldwide and offers several wireless connectivity solutions, such as Wi-Fi and Bluetooth. While we acknowledge the potential of SYNA as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the . READ NEXT: and . Disclosure: None. This article is originally published at Insider Monkey. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

How Federated Learning Moves AI Closer To The Edge
How Federated Learning Moves AI Closer To The Edge

Forbes

time16-07-2025

  • Business
  • Forbes

How Federated Learning Moves AI Closer To The Edge

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of edge AI is calling for a new class of AI-native compute platforms and how multimodal sensing—including vision and audio—is enabling more intuitive, context-aware user experiences. These trends mark a decisive shift from centralized cloud processing to intelligent, personalized and privacy-conscious computing at the edge. Building on that foundation, the next frontier is not just how AI runs at the edge, but how it learns and evolves there. This is where federated machine learning (FML) enters the picture. Despite the ubiquity of AI in our everyday lives, the vast majority of AI model development and processing still happens in the cloud, often far away from where we interact with it. The approach has served us well, with centralized and powerful compute engines doing the heavy lifting involved in collecting data and training sophisticated learning models. As AI proliferates and billions of connected devices generate data at the edge, traditional centralized model training is becoming increasingly impractical, constrained by privacy concerns, regulatory pressures and latency limitations. At the same time, the push for more personalized, context-aware experiences is accelerating AI processing toward a fragmented landscape of "far edge" devices, such as smartwatches, wearables and industrial sensors, that rely on real-time, local understanding of their environments. This transformation is not only enabling today's intelligent experiences but also laying the groundwork for an entirely new class of cloud-agnostic, AI-driven applications—many of which we have yet to imagine—that will operate independently and become seamlessly woven into the fabric of everyday life. This shift has given rise to the new paradigm known as federated machine learning. By enabling localized intelligence directly on the devices where data is created, FML introduces a wider range of more private, personalized and responsive alternatives to cloud-centric models. Realizing this vision means evolving the AI ecosystem from system architecture and silicon design to software tooling. It also extends into how data is collected, used and protected. The need for centralized computing resources won't necessarily go away, but this broader range of synergistic processing approaches is being driven by a more federated future. One size does not fit all in the world of edge AI. Meeting the need for broader and more diverse deployment of AI, the rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates. Devices that can benefit from FML are increasingly present in our everyday lives, such as smart home assistants learning speech patterns locally, wearables monitoring health metrics without cloud sync and industrial machines predicting failure based on unique deployment environments. Recent announcements from companies like Google and OpenAI point to a future where AI is moving beyond phones into a new generation of devices. The evolution of devices such as extended reality (XR) wearables raises questions: Do these devices need a cloud connection? A phone tether? Or can they operate independently, or even coordinate locally through a hub? FML introduces the idea of processing zones, which could range from on-device to near-edge aggregation hubs or the centralized cloud. This transition to the future of edge AI depends on flexible, multitiered intelligence. Ecosystem Complexity At The Edge: Fragmentation, Tooling And Hardware Diversity The adoption of AI at the edge is not without some unique challenges. Unlike the relatively structured centralized processing model of the current data center-centric approach, the edge is messy. It features different operating systems (such as RTOS, Linux and Android variants with proprietary firmware), chip architectures (such as Arm, RISC-V and x86) and AI toolkits. On top of that, many devices lack the optimal processing, memory or power for robust on-device inference—let alone training. Tooling for deploying and updating models is fragmented, particularly at scale. FML doesn't scale unless tools and hardware converge around modularity, efficiency and openness. The Chip Supplier's New Role: A Scalable, Neutral Enabler As this federated future of AI unfolds, success will hinge on delivering flexible, scalable solutions that span silicon, software and tools capable of adapting to diverse devices and dynamic ecosystems. By embracing openness, efficiency and intelligent decentralization, companies can unlock the full potential of edge AI. The shift toward distributed intelligence is redefining how we interact with technology, making it more private, responsive and relevant to real-world environments. Real progress in edge AI depends on open-source tools, accessible frameworks and broad collaboration across the ecosystem. By focusing on practical solutions and inclusive innovation, this transformation can bring smarter experiences closer to where they matter most. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

Synaptics appoints ex-Qualcomm executive Rahul Patel as president & CEO
Synaptics appoints ex-Qualcomm executive Rahul Patel as president & CEO

Time of India

time22-05-2025

  • Business
  • Time of India

Synaptics appoints ex-Qualcomm executive Rahul Patel as president & CEO

NEW DELHI: US AI edge chipmaker Synaptics has appointed former Qualcomm executive Rahul Patel as its president, chief executive officer (CEO), and a director of the company. Patel succeeds Syanptics' interim CEO Ken Rizvi, who has served in this role since February 2025. Rizvi is currently the company's CFO. Prior to joining Synaptics, Patel spent about 10 years at Qualcomm, including most recently as the senior vice president and group general manager of the connectivity, broadband & networking group, where he led a multi-billion-dollar portfolio of wireless networking and connectivity business. The industry veteran has more than 30 years of experience in the semiconductor industry, and has expertise in high-performance edge-AI wireless connectivity solutions for handsets, tablets, PCs, wearables such as smartwatches and earbuds, Internet of Things (IoT) applications, and networking and broadband solutions for enterprises and home markets. Prior to Qualcomm, Patel spent 13 years in various senior leadership roles at Broadcom , including serving as SVP and GM (wireless connectivity group), where he played a pivotal role in expanding Broadcom's Wi-Fi, Bluetooth, and GPS leadership across all market segments. 'On behalf of the Board of Directors, we are delighted to welcome Rahul as Synaptics' next CEO. Rahul's extensive semiconductor expertise and strong vision uniquely position him to accelerate our growth and innovation, steering us into our next chapter as we broaden our market reach,' said Nelson Chan, chairman of Synaptics' Board of Directors. 'I am truly honored and excited to join Synaptics, a leader in high-performance Processing, Connectivity, and Sensing solutions,' Patel. 'I look forward to working with the talented team at Synaptics to execute on our growth roadmap and deliver next-generation technology that brings unparalleled value to our customers, partners, and investors.'

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