Latest news with #Santa Clara
Reuters
5 days ago
- Business
- Reuters
Applied Materials' shares sink on weak China demand, tariff risks
Aug 15 (Reuters) - Shares of Applied Materials (AMAT.O), opens new tab tumbled nearly 14% in premarket trading on Friday after the chip equipment maker issued weak fourth-quarter forecasts on sluggish China demand, fueling concerns over tariff-related risks. The Santa-Clara, California-based company's forecast comes after similar tariff warnings from ASML Holding ( opens new tab, the world's biggest supplier of chip-making equipment, last month. CEO Gary Dickerson flagged lower visibility and increased uncertainty in the near-term, citing "wide-ranging implications for the semiconductor industry" from the dynamic policy environment, during a post-earnings investor call. China, Applied Materials' top revenue source in the July quarter, accounting for 35% of sales, has emerged as a growing risk as U.S. export restrictions weigh on new orders for chipmaking tool suppliers. "China volatility is significantly clouding visibility into core earnings potential both geopolitically and cyclically," Deutsche Bank strategists said in a note. Applied Materials expects revenue of $6.70 billion, plus or minus $500 million, for the fourth quarter, compared with analysts' average estimate of $7.33 billion, according to data compiled by LSEG. Its projected profit also came in below estimates. Some analysts, including Harlan Sur, noted that the slowdown in China demand and erratic orders from major foundry customers are "more a reflection of timing of spending rather than structural issues." The stock has risen 15.7% so far this year, compared with a 12.5% increase in the Nasdaq index (.IXIC), opens new tab and a nearly 10% gain in the S&P 500 index (.SPX), opens new tab. The company's third-quarter revenue rose 8% to $7.30 billion from a year ago, beating estimates of $7.22 billion.
Globe and Mail
6 days ago
- Business
- Globe and Mail
Bull of the Day: Arista Networks (ANET)
Arista Networks (ANET), a Zacks Rank #1 (Strong Buy), builds high-performance networking gear and software for the world's biggest data centers, cloud providers, and enterprises. The stock surged to fresh all-time highs after strong earnings, as both analysts and investors see the momentum carrying through year-end. About the Company The Santa Clara, California–based company has been an innovator in networking standards, co-authoring the VXLAN protocol (a key technology for virtualized and multi-tenant data centers) and expanding it into advanced routing and integration capabilities. Its bread and butter is ultra-fast Ethernet switches and routers, which are designed for modern workloads like AI, big data, and large-scale cloud computing. Its customers span five main verticals: cloud titans (hyperscalers with over a million servers), cloud specialists, service providers, financial services, and the broader enterprise sector. That includes six of the world's largest cloud providers. Arista sells through a mix of direct sales, resellers, system integrators, and OEM partners, and it backs its gear with comprehensive support, upgrades, and repair services. ANET is valued at $177 billion and has a Forward PE of 50. The stock has Zacks Style Scores of 'B' in Growth and Momentum, but a 'F' in Value. Q2 Earnings Beat and Upside Guidance Arista Networks delivered a strong Q2, beating earnings expectations by 12%. EPS came in at $0.73 beating the $0.65, while revenue was $2.20 billion, topping expectations of $2.11 billion. Non-GAAP gross margin rose to 65.6% from 65.4% a year ago, and operating margin expanded to 48.4% from 46.5%, marking the company's first quarter with more than $1 billion in non-GAAP operating income. Management cited broad-based momentum across AI, cloud, and enterprise markets, with record enterprise and campus demand in a $25–30 billion TAM and renewed cloud upgrades driven by AI-fueled traffic diversity. Arista raised its FY25 revenue forecast to $8.75 billion, up 25% year-over-year and $550 million above its prior outlook, and expects AI networking revenue to exceed $1.5 billion next year. The company also sees back-end AI networking reaching $750 million in 2025, up from near zero in 2022, with full AI strategy details coming at September's Analyst Day. Management reaffirmed its Arista 2.0 roadmap to hit $10 billion in revenue by 2026, two years ahead of schedule, driven by customer adoption, product innovation, and operational discipline. Estimates Mixed Since the company reported earnings, analysts have been raising estimates across the board. For the current quarter, numbers have been taken from $0.66 to $0.71 over the last 7 days, or 8%. For the current year, analysts have lifted estimates 6%, going from $2.64 to $2.81. Looking at next year, the trend continues. Over the last month analysts have lifted their numbers from $2.94 to $3.18, or 8%. With those estimates going higher, many analysts are lifting their targets: -Barclays reiterated ANET with Underweight, but lifted their target to $151 from $119. -Goldman Sachs reiterated ANET with Buy, putting their price target at $155, up from $115. -JPMorgan Chase reiterated ANET as an Overweight with a price target of $150, up from $130. The Technical Take The stock just hit all-time highs after earnings and is starting to slide a bit. Investors should be watching for support levels as there are Fibonacci 161.8% extension targets at $185. Let us look at some moving averages for possible entry points: 21-day moving average: $122.20 50-day MA: $108.50 200-day MA: $100 In Summary With record earnings momentum, rising analyst estimates, and a leadership position in high-speed networking for AI and cloud, Arista is showing no signs of slowing down. The company's ambitious roadmap, expanding TAM, and accelerating demand from both hyperscalers and enterprises make ANET a compelling growth story into 2025 and beyond. For investors looking for exposure to the infrastructure backbone of AI and cloud computing, this Zacks Rank #1 stock may have plenty of runway left. 7 Best Stocks for the Next 30 Days Just released: Experts distill 7 elite stocks from the current list of 220 Zacks Rank #1 Strong Buys. They deem these tickers "Most Likely for Early Price Pops." Since 1988, the full list has beaten the market more than 2X over with an average gain of +23.5% per year. So be sure to give these hand picked 7 your immediate attention. See them now >> Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Arista Networks, Inc. (ANET): Free Stock Analysis Report
Yahoo
11-08-2025
- Business
- Yahoo
Are Wall Street Analysts Bullish on NVIDIA Stock?
Santa Clara, California-based NVIDIA Corporation (NVDA) is a key innovator of computer graphics and AI technology. The company provides graphics and compute and networking solutions. With a market cap of $4.5 trillion, NVDA develops a platform for scientific computing, AI, data science, autonomous vehicles, robotics, metaverse, and 3D internet applications, as well as focuses on PC graphics by serving clients worldwide. Shares of this chip giant have considerably outperformed the broader market over the past year. NVDA has gained 74.1% over this time frame, while the broader S&P 500 Index ($SPX) has rallied nearly 20.1%. In 2025, NVDA stock is up 36.1%, surpassing the SPX's 8.6% rise on a YTD basis. More News from Barchart 'It Will Be the Biggest Product Ever': Elon Musk Says Tesla's Optimus Robots Will Be Bigger Than Even Robotaxi Dear Archer Aviation Stock Fans, Mark Your Calendars for August 11 This Hidden-Gem AI Stock Has a Major Catalyst Coming on August 11 Tired of missing midday reversals? The FREE Barchart Brief newsletter keeps you in the know. Sign up now! Zooming in further, NVDA's outperformance looks more pronounced compared to the iShares Semiconductor ETF (SOXX). The exchange-traded fund has gained about 14% over the past year. Moreover, NVDA's gains on a YTD basis outshine the ETF's 12.7% returns over the same time frame. NVIDIA's Data Center business is driving its impressive growth, fueled by the high demand for AI. The company's Hopper 200 and Blackwell GPU platforms are being widely adopted by cloud and enterprise customers, particularly hyperscalers, to support their AI workloads. With the upcoming Blackwell Ultra and Vera Rubin platforms, NVIDIA is expected to further solidify its position in the AI computing market. NVDA reported its Q1 results on May 28, and its shares closed up by 3.3% in the following trading session. Its adjusted EPS of $0.81 fell short of Wall Street's expectations of $0.85. The company's revenue was $44.1 billion, beating Wall Street forecasts of $42.9 billion. For the current fiscal year, ending in January 2026, analysts expect NVDA's EPS to grow 37.2% to $4.02 on a diluted basis. The company's earnings surprise history is mixed. It beat the consensus estimate in three of the last four quarters while missing the forecast on another occasion. Among the 45 analysts covering NVDA stock, the consensus is a 'Strong Buy.' That's based on 38 'Strong Buy' ratings, two 'Moderate Buys,' four 'Holds,' and one 'Strong Sell.' This configuration is more bullish than a month ago, with 37 analysts suggesting a 'Strong Buy,' and three recommending a 'Moderate Buy.' On Aug. 7, The Goldman Sachs Group, Inc. (GS) analyst James Schneider reiterated a 'Buy' rating on NVDA and set a price target of $200, implying a potential upside of 9.5% from current levels. The mean price target of $185.16 represents a 1.3% premium to NVDA's current price levels. The Street-high price target of $250 suggests an ambitious upside potential of 36.8%. On the date of publication, Neha Panjwani did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on 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
Yahoo
01-08-2025
- Business
- Yahoo
ServiceNow Extends End-to-End AI Agent Orchestration With Agentic Workforce Management
Employees can seamlessly and securely work alongside agentic workforces to deliver real business outcomes and reimagine work in the AI era First ServiceNow agentic workforces support IT operations, customer support, security, and end-user software deployment SANTA CLARA, Calif., July 23, 2025--(BUSINESS WIRE)--ServiceNow (NYSE: NOW), the AI platform for business transformation, today announced agentic workforce management, a new, innovative extension of end-to-end AI agent orchestration, designed to allow employees to accelerate the impact of AI. Agentic workforce management enables employees and AI agents to seamlessly and securely work together to deliver real business outcomes. While the agentic workforce operates like an intelligent digital team, completing end-to-end work autonomously, agentic workforce management allows people to oversee, coach, and teach the agentic workforce – all within ServiceNow. The company's first agentic workforces support IT operations, customer support, security, and end-user software deployment, reimagining work in the AI era. Workforce transformation is a top priority for every CEO. The question is no longer if AI agents will change work—but how. According to a Gartner® survey, "Nearly all CEOs (97%) want to use AI and combine human and machine capabilities to improve performance."* Agentic workforce management keeps people at the center and uses agentic teams as force multipliers, empowering employees to work confidently with AI while keeping governance and security at the forefront. "AI isn't just reshaping how we work, it's redefining what it takes to win. This moment requires bold investment in our people and a shared commitment to learn, adapt, and lead in new ways," said Jacqui Canney, chief people and AI enablement officer at ServiceNow. "When we design work with AI and put people at the center, we create momentum that drives real business impact." The future of work is human, with AI agents working side-by-side An agentic workforce is a collective of highly skilled, orchestrated AI agents that autonomously accomplish work in support of a larger goal. ServiceNow stands out for its single-platform model: unlike others whose agents are task-oriented and can only take action in silos, ServiceNow's single architecture, single data model platform applies agentic AI across the enterprise so work happens autonomously in every corner of the business. With the ServiceNow AI platform, an agentic workforce can learn from past experiences how to handle new tasks, always keeping within the guidelines and frameworks established by people. In just a few months, the agentic workforce has transformed beyond bots that augment pieces or parts of a job to autonomous teams capable of collaborating, learning, accepting feedback, and even growing their capabilities with oversight and partnership from their human managers. For example, at ServiceNow an agentic workforce in IT operations and security resolves service tickets, applies system patches, and provides daily summaries to human managers. In addition, an agentic workforce manages software deployment like executing installations, upgrades, and configurations, ensuring smooth implementation, and resolving any issues that arise for continuous improvement. The ServiceNow agentic workforce has allowed its IT support organization to automate 97% of software provisioning requests, while managing license reclamation and cloud cost governance, and has reduced service desk volume by nearly 40%. ServiceNow's agentic workforce also autonomously solves 85% of routine internal IT support requests, ultimately helping the department scale by more than 40%. Additional results from the ServiceNow agentic workforce implementation show measurable impact across productivity, speed, and resolution times in customer support, with additional use cases in development: Customer Support employees use the agentic workforce to quickly resolve 80% of complex instance administration and maintenance cases. Within months, ServiceNow customers experienced 50% faster resolution time for these types of cases. "We run ServiceNow on ServiceNow and are proof that organizations don't need thousands of siloed AI agents chasing tasks. Instead, it's about having the right combination of AI agents in the right roles, with the right context, integrated with humans and working across the enterprise to unlock higher-value work, foster innovation, and drive productivity," said Kellie Romack, chief digital information officer, ServiceNow. "With strong governance, clearly defined responsibilities, performance tracking, and oversight from human managers, we've created a model for scaling the agentic workforce that delivers exponential value." Managing the agentic workforce with confidence and clarity Managing an agentic workforce requires the right tools and governance. Human managers can oversee, teach, and coach, and even step in when needed, just like they would have done with any new person on the team. For example, an agentic worker's human manager has visibility to evaluate its health metrics like customer sentiment, ease of use, throughput, and uptime for better oversight into where further learning and escalation may be needed. Agentic workforce management tooling complements the ServiceNow AI Control Tower, where customers can oversee agentic workforces across the organization, fully understanding the value they get from the ServiceNow AI Platform, and govern all their AI processes and assets —ensuring compliance, ethical oversight, and safe usage of AI. ServiceNow AI Control Tower, which became available in May, ensures that everyone from HR to IT can understand, activate, and optimize their agentic workforce with trust and transparency at the core. Additionally, through other ServiceNow solutions like AI Agent Orchestrator, organizations can coordinate teams of specialized agents from across their ecosystem to create an agentic workforce that fulfills specific goals across departments. "Enterprises aren't asking if they'll adopt agentic-enabled ways of working anymore; they're wrestling with how to frame responsibly," said Amy Loomis, Ph.D., Research Vice President, IDC. "With trust and governance just as critical as productivity, ServiceNow's integrated approach positions it as a leading voice in defining how organizations manage the relationship between workers and AI agents at scale." *Gartner, Inc., "2025 CEO Survey - The Year of Dynamic Capacity," by David Furlonger, Jennifer Carter, Kristin Moyer, Don Scheibenreif, Stephen Smith, Gabriela Vogel, 13 March 2025. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. About ServiceNow ServiceNow (NYSE: NOW) is putting AI to work for people. We move with the pace of innovation to help customers transform organizations across every industry while upholding a trustworthy, human centered approach to deploying our products and services at scale. Our AI platform for business transformation connects people, processes, data, and devices to increase productivity and maximize business outcomes. For more information, visit: © 2025 ServiceNow, Inc. All rights reserved. ServiceNow, the ServiceNow logo, Now, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company names, product names, and logos may be trademarks of the respective companies with which they are associated. View source version on Contacts Lisa CravensServiceNowpress@
Yahoo
25-07-2025
- Sport
- Yahoo
49ers defensive coordinator Robert Saleh impressed so far in return to team
San Francisco defensive coordinator Robert Saleh speaks with the media at 49ers training camp Thursday in Santa Clara. 49ers defensive coordinator Robert Saleh impressed so far in return to team originally appeared on NBC Sports Bay Area
