Keysight Technologies Q2 Fiscal Year 2025 Results May 20, 2025 Safe Harbor This communication contains forward-looking statements as defined in Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, and is subject to the safe harbors created therein. Statements preceded by, followed by, or that otherwise include the words "anticipate," "assume," "plan," "estimate," "expect," "guidance," "intend," "implied," "target," "believe," "outlook," a ...

Exhibit 99.1 Keysight Technologies Reports Second Quarter 2025 Results Achieves above guidance results, full-year outlook improved SANTA ROSA, Calif., May 20, 2025 - Keysight Technologies, Inc. (NYSE: KEYS) today reported financial results for the second fiscal quarter ended April 30, 2025. "Keysight delivered strong second quarter results with revenue and earnings per share above the high end of guidance. This quarter's performance underscores the strength of our long-term strategy, deep customer engagemen ...

Financial Performance - Keysight Technologies is set to release its second-quarter financial results on May 20, with expected earnings of $1.65 per share, an increase from $1.41 per share in the same quarter last year [1] - The company projects quarterly revenue of $1.28 billion, up from $1.22 billion a year earlier [1] Collaborations and Developments - On April 29, Keysight EDA and Intel Foundry announced a collaboration on EMIB-T Silicon Bridge Technology aimed at next-generation AI and data center solutions [2] Stock Performance and Analyst Ratings - Keysight Technologies shares fell by 1.6% to close at $162.77 on the preceding Monday [2] - Morgan Stanley analyst Meta Marshall maintained an Overweight rating and raised the price target from $156 to $180 [8] - JP Morgan analyst Samik Chatterjee maintained an Overweight rating but reduced the price target from $200 to $172 [8] - Baird analyst Richard Eastman maintained an Outperform rating and increased the price target from $180 to $190 [8] - Wells Fargo analyst Aaron Rakers maintained an Overweight rating and raised the price target from $180 to $190 [8] - Barclays analyst Tim Long maintained an Overweight rating and increased the price target from $180 to $200 [8]

Core Insights - Keysight (KEYS) is expected to report quarterly earnings of $1.65 per share, reflecting a year-over-year increase of 17% [1] - Anticipated revenues for the quarter are projected to be $1.28 billion, indicating a 5% increase compared to the same quarter last year [1] Earnings Estimates Revisions - Over the past 30 days, the consensus EPS estimate has been adjusted downward by 0.3%, indicating a reassessment by analysts [2] - Revisions to earnings estimates are crucial for predicting investor actions and have shown a strong correlation with short-term stock price performance [3] Revenue Estimates by Segment - The consensus estimate for 'Revenue- Communications Solutions Group' is $884.15 million, reflecting a year-over-year change of +5.3% [5] - 'Revenue- Commercial Communications' is estimated at $588.52 million, suggesting a change of +4.5% year over year [5] - 'Revenue- Aerospace, Defense & Government' is forecasted to reach $295.62 million, indicating a change of +6.7% from the previous year [5] - 'Revenue- Electronic Industrial Solutions Group' is expected to be $395.34 million, with a year-over-year change of +5.1% [6] Income from Operations - 'Income from operations- Electronic Industrial Solutions Group' is projected to be $81.74 million, compared to $71 million from the previous year [6] - 'Income from operations- Communications Solutions Group' is expected to be $238.62 million, up from $223 million in the same quarter last year [7] Stock Performance - Keysight shares have increased by +22% in the past month, outperforming the +9% move of the Zacks S&P 500 composite [7] - The company holds a Zacks Rank 3 (Hold), suggesting it is expected to mirror overall market performance in the near future [7]

Core Viewpoint - The article emphasizes the hidden challenges in AI infrastructure, particularly in data center operations, where inefficiencies lead to significant asset waste and operational issues. The need for improved testing, validation, and optimization processes is highlighted as essential for the advancement of AI capabilities [1][10][22]. Group 1: Company Evolution - Keysight Technologies has transformed from a hardware-centric company to a software-focused entity, spanning multiple sectors including communication, semiconductors, automotive electronics, and AI over the past decade [3][6]. - The company has completed over 20 acquisitions, enhancing its capabilities from the physical layer to application layer testing, reflecting its proactive adaptation to industry changes [6][7]. Group 2: AI Market Insights - The AI market is projected to reach $1.3 trillion by 2030, with current investments primarily focused on computational infrastructure. However, future value will increasingly derive from applications and services [13]. - The rapid evolution of AI technology necessitates advancements in underlying network bandwidth, storage, and interconnect technologies, with Ethernet and PCIe standards evolving at unprecedented rates [13][14]. Group 3: Infrastructure Challenges - Current AI data centers often operate under suboptimal conditions, with GPU utilization rates below 40%, leading to significant idle time and wasted resources [15][18]. - The complexity of AI model training requires robust network communication, where any single point of failure can lead to substantial efficiency losses [18][20]. Group 4: KAI Solution - Keysight's KAI (Keysight AI) solution aims to address the hidden inefficiencies in AI computational infrastructure by providing a comprehensive diagnostic platform that identifies performance bottlenecks and predicts potential failures [22][26]. - The KAI product matrix targets critical issues in AI data centers, including bandwidth limitations, energy inefficiencies, and low GPU utilization, transforming high-risk assets into more reliable investments [26][29]. Group 5: Industry Positioning - Keysight is evolving from a traditional testing equipment supplier to a comprehensive solution provider for AI infrastructure, integrating various aspects of performance management and operational efficiency [30][34]. - The company actively participates in industry standards organizations, positioning itself as a leader in establishing reliability and stability in AI networks, which are increasingly recognized as critical competitive factors [34].

The market expects Keysight (KEYS) to deliver a year-over-year increase in earnings on higher revenues when it reports results for the quarter ended April 2025. This widely-known consensus outlook is important in assessing the company's earnings picture, but a powerful factor that might influence its near-term stock price is how the actual results compare to these estimates.The earnings report, which is expected to be released on May 20, 2025, might help the stock move higher if these key numbers are better ...

Core Viewpoint - Keysight Technologies, Inc. is expected to report higher year-over-year revenues for the second quarter of fiscal 2025, driven by strong performance across its segments and strategic collaborations with industry players [1][6]. Factors at Play - Keysight's collaboration with Coherent Corp. aims to enhance 3D sensing applications through advanced laser technology, which is expected to support AI/ML services while reducing power consumption and capital expenditure for data centers [2]. - The company introduced innovative products, including the Next-Generation Embedded Security Testbench, designed to address security challenges in modern chips, thereby improving testing efficiency and reliability [3]. - Keysight launched the Photonic Designer software to streamline workflows in photonic design, enhancing accuracy and compliance validation [4]. - The company expanded its RF and microwave instrument portfolio with new signal generators and analyzers, which are anticipated to drive demand and revenue growth [5]. Overall Expectations - Revenue estimates for the Communications Solutions Group are projected at $870.2 million, reflecting a 3.6% year-over-year increase, while the Electronic Industrial Solutions Group is expected to generate $409.2 million, an 8.8% increase [6]. - The overall revenue consensus for the second quarter is $1.28 billion, up from $1.22 billion year-over-year, with adjusted earnings per share expected to rise to $1.65 from $1.41 [6].

Core Viewpoint - The article highlights the challenges in semiconductor parameter extraction due to the complexity of device models and the inefficiencies of traditional optimization algorithms. It introduces Keysight's ML Optimizer, a machine learning-based global optimizer that significantly improves the parameter extraction process, reducing the time from days to hours and enhancing accuracy and consistency in model fitting [1]. Group 1: Challenges in Semiconductor Parameter Extraction - The complexity of semiconductor device models has made parameter extraction increasingly challenging [1]. - Traditional optimization algorithms struggle with unclear gradient changes, often getting trapped in local optima, leading to unsatisfactory extraction results [1]. - The presence of numerous interrelated parameters in modern semiconductor models further complicates the efficiency of traditional methods, requiring engineers to break down the extraction process into lengthy sub-steps [1]. Group 2: Introduction of ML Optimizer - Keysight has launched the ML Optimizer, which utilizes machine learning to provide a revolutionary solution for semiconductor parameter extraction [1]. - The ML Optimizer can process vast amounts of data and parameters in a single step, greatly simplifying the extraction workflow [1]. - The time required for parameter extraction is reduced from several days to just a few hours, significantly enhancing work efficiency [1]. Group 3: Advantages of ML Optimizer - The ML Optimizer excels in navigating non-convex parameter spaces, overcoming the limitations of traditional methods [1]. - It employs advanced machine learning algorithms to more accurately identify global optima, improving the precision of parameter extraction [1]. - The overall consistency of model fitting is enhanced, providing a solid foundation for the accurate construction of semiconductor device models [1].

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Keysight Technologies Inc. (KEYS) recently introduced the Next-Generation Embedded Security Testbench, a solution engineered to address growing security challenges of modern chips and embedded devices. Built on a modular framework, the solution uses high-speed PXIe architecture, which enables faster and precise security testing. The solution’s versatility and compatibility allow enterprises to use it with their existing test services. It boasts a user-friendly interface comprising smart algorithms developed ...