Q1 FY2026 Earnings November 25, 2025 Safe Harbor Non-GAAP Financial Measures and Other Key Performance Measures To supplement our consolidated financial statements, which are prepared and presented in accordance with GAAP, this presentation includes the following non-GAAP financial and other key performance measures: non-GAAP gross margin, non-GAAP operating expenses, non-GAAP operating income, non-GAAP operating margin, non-GAAP net income per share (diluted), free cash flow, Annual Recurring Revenue (or A ...

SAN JOSE, Calif., Nov. 25, 2025 (GLOBE NEWSWIRE) -- Nutanix, Inc. (NASDAQ: NTNX), a leader in hybrid multicloud computing, today announced financial results for its first quarter ended October 31, 2025. “We saw solid demand for our cloud platform in our first quarter, with bookings that were slightly ahead of our expectations, ARR growth of 18% year-over-year, another healthy quarter of new logo additions, and solid free cash flow performance,” said Rajiv Ramaswami, President and CEO of Nutanix. “We also co ...

But I do want to bring Sam back into the conversation and welcome our next guest. Joining us now, Patty Shinvasan, the CEO of Digital Ocean. Patty, thank you for taking the time to be with both of us today on the show.If you wouldn't mind just starting by telling our viewers a little bit about Digital Ocean. >> Yeah, thank you for having me here today on the show. Um, Digital Ocean is a public company listed in the New York Stock Exchange.Uh, we are just shy of a billion dollars of run rate. Um, we have ove ...

The AI sphere is abuzz lately with news and rumors that the latest Google TPU, Ironwood, is powering the Gemini3 model, outpacing OpenAI on many metrics including intelligence and performance. Now, The Information, echoed by Bloomberg and CNBC, is reporting that Alphabet’s Google is preparing to make its TPUs available beyond Google Cloud, with Meta Platforms as the lead design win. Google is also rumored to be pitching the Ironwood Pod to other hyperscalers and large enterprises as an Nvidia alternative. C ...

Core Insights - The narrative around Alphabet has shifted from skepticism to optimism, with the company emerging as a leader in large language models (LLMs) and AI infrastructure [1] - Meta Platforms plans to purchase and rent Alphabet's TPUs, potentially allowing Alphabet to capture up to 10% of Nvidia's annual revenue, indicating a significant shift in the AI hardware landscape [2] - Alphabet's stock has shown relative strength against the broader market and Nvidia, raising questions about its potential as a leading AI player [4] Alphabet's AI Position - Alphabet's TPU strategy and LLM performance are diverging positively from competitors, with custom TPUs designed for large-scale machine learning offering better efficiency and cost-effectiveness [6] - The latest Gemini model demonstrates significant improvements in reasoning, mathematics, coding, and multimodal tasks, leveraging Alphabet's extensive data scale and product integration [7][8] Valuation Comparison - Alphabet trades at 30.3x forward earnings, above its five-year median of 22.6x, with expected earnings growth of 16.4% annually over the next three to five years, while Nvidia trades at 41.8x forward earnings with a projected growth rate of 46.3% [9] - Both companies are attractively valued relative to their growth rates, with Nvidia's PEG ratio below 1 indicating a compelling long-term setup [10] Competitive Landscape - Alphabet and Nvidia occupy different but complementary positions in the AI stack, suggesting that both can emerge as winners despite competitive narratives [11] - The long-term theses for both companies remain strong, benefiting from structural AI demand, leading to considerations for appropriate investment allocations [12]

Core Insights - The AI landscape is rapidly evolving, with Google gaining significant momentum through its custom AI chips and execution of Gemini 3, shifting from a struggling position to a favored one in a short time frame [2][3] - The competition is not solely between Google and Nvidia; rather, it involves Google against other hyperscalers like Amazon and Microsoft, particularly in the context of custom silicon [5][4] Google’s AI Strategy - Google is effectively leveraging its custom AI chips, known as TPUs, which are designed to operate within its cloud ecosystem, providing a competitive edge in distribution [3][4] - The narrative surrounding TPUs suggests they may not easily surpass Nvidia's offerings due to their restrictive nature, which limits flexibility for enterprises [4] Amazon’s Position - Amazon, as the largest cloud computing player, is expected to lead in AI but is currently perceived to be lagging behind Google in terms of custom chip development and AI model recognition [6][7] - The disappointment surrounding Amazon's custom AI chip, Tranium, indicates a gap in momentum compared to Google, with Amazon's AI models not gaining significant traction in the market [7][8]

Core Insights - Alibaba reported earnings that exceeded revenue expectations, generating nearly $35 billion in the September quarter, but net profits fell by 53% due to increased competition, weak consumer demand, and rising AI costs [3][4] - The company's cloud infrastructure business saw a significant revenue increase of 34%, indicating a strong focus on AI and cloud investments [3][9] - Alibaba is undergoing a strategic transformation from a traditional e-commerce model to an AI-first, cloud-driven technology company, committing over $50 billion in the next three years to enhance cloud capacity and AI infrastructure [9][10] Financial Performance - Revenue for the September quarter reached approximately $35 billion, surpassing expectations, while net profits decreased by 53% [3] - Cloud revenue increased by 34%, showcasing strong growth in this segment [3][6] - Free cash flow declined, raising questions about the sustainability of increased capital expenditures on AI [5][4] Strategic Transformation - Alibaba is shifting its business model towards AI and cloud technology, investing heavily in AI infrastructure and chip development [9][10] - The company aims to build an end-to-end AI ecosystem, integrating AI across various sectors including commerce and logistics [10][11] - This transformation positions Alibaba for scalable growth and reinforces its competitive advantage against both domestic and global tech rivals [11] Market Sentiment and Technical Analysis - Following the earnings report, Alibaba's shares initially rose but later experienced a pullback, attributed to profit-taking and broader market sentiment [4][12] - The stock is currently trading below its 50-day moving average, indicating a bearish pattern that needs to be addressed for potential upside momentum [12][13] - Key resistance levels to watch include the October 29 high around $180 and the October 2 high around $190 [12][13] Competitive Advantages in AI - Chinese AI models, including Alibaba's, are noted for their efficiency and cost-effectiveness, optimized for scale [16] - China has made significant investments in renewable energy, giving it an edge in energy efficiency for AI development [17] - The large domestic user base in China allows for rapid commercialization and iteration of AI applications, providing a competitive advantage over US counterparts [19]

stocks on the move as well as some calls. We're going to start with Zoom. We talked about it yesterday, Josh, with you heading into the print.They did post a stronger than expected earnings. They uh beat upbeat guide as well. Take a look at that.You made a nice uh you made a nice call on that yesterday. They also increased the buyback. What do you think now.>> I mean, you can't sell it. um they just delivered everything that people have been waiting for four years to see this company deliver this entire pos ...

Core Insights - Alibaba Group Holding Limited is a leading Chinese e-commerce company operating in various sectors including online retail, cloud computing, and artificial intelligence [1] - The company reported an earnings per share (EPS) of $0.61, below the expected $0.66, but generated revenue of approximately $34.79 billion, surpassing the estimated $34.28 billion [2] - Alibaba's stock surged following the earnings announcement due to revenue exceeding expectations, driven by strong demand in the artificial intelligence sector and growth in cloud services [3] Financial Performance - The company's cloud revenue increased by 34% year-on-year, reaching 39.8 billion yuan, surpassing expectations of 37.9 billion yuan [3][4] - Alibaba's financial metrics include a price-to-earnings (P/E) ratio of approximately 17.98 and a price-to-sales ratio of about 2.64, indicating a strong market position [5][6] - The enterprise value to sales ratio is around 2.69, reflecting total valuation in relation to revenue, and the company maintains a low debt-to-equity ratio of 0.23, indicating conservative use of debt [5][6]

Group 1 - Nvidia and Alphabet are currently the only two stocks outperforming the S&P 500 among the "Magnificent Seven" technology stocks in 2025 [1] - Tesla ranks last in a ranking of the "Magnificent Seven" stocks for 2026, followed by Apple, indicating they are not recommended for purchase at this time [2] - Amazon is positioned as a decent but not high-conviction buy for 2026, marking a turning point in its evaluation [2] Group 2 - Amazon's cloud computing segment, Amazon Web Services (AWS), showed impressive results in its latest earnings report, alleviating concerns over its slower growth compared to competitors like Microsoft Azure and Google Cloud [4] - AWS is crucial for Amazon's cash flow and profitability, compensating for weaker performance in other segments, but this dependence limits Amazon's overall ranking among the "Magnificent Seven" [5] - In contrast, Microsoft has a diversified business model that includes a profitable software segment and a growing gaming portfolio, allowing it to sustain growth even if cloud computing slows [6] Group 3 - Alphabet's Google Search remains a strong performer, with growth supported by the integration of AI through its Gemini assistant, alongside other segments like YouTube and Google Cloud, contributing to its balanced growth profile [7] - Amazon's lack of balance compared to other "Magnificent Seven" companies is noted, although AWS's value should not be underestimated [8] - Amazon's shareholder dilution is a concern, as stock-based compensation exceeds stock buybacks [8]