Core Insights - Snowflake's shares have increased nearly 50% this year, but there was a decline after Q3 results due to slowing product revenue growth from 32% to 29% and guidance indicating further deceleration in Q4 [2][9] - The company is transforming from a Cloud Data Warehouse to a comprehensive AI Data Cloud, positioning itself as a key player in the enterprise AI stack [3][9] Revenue and Growth - Snowflake is addressing the challenge of delivering high-quality, governed data to AI models through its Cortex AI and Snowpark Container Services, which allow execution of AI tools directly at the data location [5] - The company’s consumption-based billing structure means that as businesses increase their AI queries and models, revenue rises correspondingly, which is crucial for long-term growth [10] Technology and Innovation - The transition to "zero-copy data processing" enhances efficiency for AI by minimizing data movement and creating substantial switching costs for customers [6] - Snowflake aims to become an "enterprise app store" through its Native App Framework, allowing developers to create and sell AI-based software directly within Snowflake accounts, fostering a network effect [7] Strategic Developments - Snowflake Intelligence, the firm's enterprise AI agent, has seen rapid adoption, providing users with a natural-language interface to query data and automate decisions, thus broadening the user base and complicating switching to other platforms [8] - Despite decelerating growth, margins may improve as the company develops more AI tools and applications, with earnings expected to increase by over 35% next year [9][10] Market Position and Competition - Snowflake is well-positioned to benefit from the rise in enterprise AI workloads, but faces substantial competition from Databricks and major cloud providers [9] - The valuation of Snowflake leaves limited room for error, indicating a cautious approach for valuation-conscious investors [11]

Core Viewpoint - Evercore ISI has raised the target price for Snowflake from $280 to $300 while maintaining an "outperform" rating [1] Group 1 - The target price adjustment reflects a positive outlook on Snowflake's performance in the market [1] - The "outperform" rating indicates confidence in Snowflake's ability to exceed market expectations [1]

Core Viewpoint - AT&T customers have until December 18 to claim their share of a $177 million settlement related to two significant data breaches that exposed personal information and call records of millions of customers [1][2]. Breach Details - The first breach, disclosed on March 30, 2024, affected approximately 73 million customers, with sensitive data from 7.6 million current and 65.4 million former account holders appearing on the dark web [2][3]. - The second breach, revealed in a July 12, 2024 SEC filing, involved the theft of call and text message metadata for nearly all 110 million AT&T wireless subscribers, covering interactions from May 1 to October 31, 2022, and a single day in January 2023 [4][5]. Security Implications - The breaches were linked to Snowflake Inc., a cloud data warehousing platform used by AT&T, where attackers exploited stolen credentials to access customer data [6]. - The U.S. Department of Justice requested AT&T to delay public disclosure of the breaches due to national security concerns, marking a notable instance under the SEC's cybersecurity disclosure rules [7]. Financial Aspects of the Settlement - The settlement allocates $149 million for customers affected by the first breach and $28 million for those impacted by the second, with potential claims of up to $5,000 for the first incident and $2,500 for the second [10]. - Customers without documented losses can still claim a pro-rata share of the remaining settlement funds, with legal fees estimated at approximately $49.7 million and $9.3 million for each breach [11]. Future Proceedings - A final approval hearing for the settlement is scheduled for January 15, 2026, with payments expected to begin within 90 days if approved [12].

Core Insights - Snowflake's share prices have recently declined despite strong fiscal 2026 third-quarter results and a positive outlook, although the stock is still up nearly 47% year-to-date [1] Financial Performance - Snowflake reported a 29% year-over-year increase in quarterly revenue, reaching $1.21 billion, surpassing the analyst consensus of $1.18 billion [5] - Product revenue also increased by 29% to $1.16 billion, while adjusted earnings per share (EPS) rose to $0.35 from $0.20 a year ago, exceeding the consensus estimate of $0.31 [5] - The net revenue retention rate remained strong at 125%, indicating increased usage among existing customers [6] Growth Drivers - The company attributed its growth to AI, with AI revenue hitting $100 million in the quarter, one quarter ahead of projections [7] - Over 1,200 customers are utilizing Snowflake's AI-powered Snowflake Intelligence solution to develop AI agents, driving consumption-based growth [7] - Snowflake added a record 615 new customers in the quarter, with AI offerings accounting for approximately half of its bookings [8] Strategic Partnerships - Notably, Snowflake secured a $200 million partnership with Anthropic to deliver Claude-powered AI agents to enterprise customers [9]

Investment Rating - The report maintains an "Overweight" rating for the computer industry [1] Core Insights - The emergence of AI inference necessitates a new storage architecture centered around GPU directly connected to SSD, which will replace the CPU-dominated era [9][14] - The shift from CPU-centric to GPU-centric architecture will drive significant changes in database software design, optimizing for GPU's data processing capabilities [18][19] - The industry is witnessing accelerated advancements in both hardware and software, with notable collaborations and innovations aimed at enhancing performance for AI workloads [22][24] Summary by Sections AI Inference Era and New Storage Architecture - AI inference requires different I/O demands compared to training, with a focus on small data blocks and high concurrency, leading to the need for a new storage architecture [9][10] - The traditional CPU-centric data loading architecture is becoming a bottleneck for AI workloads, necessitating a shift to GPU as the primary controller for data access [11][14] Changes in Database Architecture - The transition to GPU-centric architecture will require a complete redesign of database software, with GPU taking on the role of the main computing unit [18][19] - Key components such as storage engines and query execution engines will need to be restructured to optimize for GPU capabilities and direct SSD connections [19][21] Industry Progress - Hardware advancements include the development of High Bandwidth Flash (HBF) technology, which is expected to play a crucial role in the future of AI storage solutions [22] - Collaborations between companies like SanDisk and SK Hynix aim to standardize HBF technology, with initial products expected by 2027 [22] - Software improvements are being made to enhance data orchestration and performance, such as Hammerspace's advancements in metadata reading and Cloudian HyperStore's object storage capabilities [24] Investment Recommendations - The report suggests that as AI inference grows, the importance of GPU will increase, leading to new opportunities in the database industry as software architectures adapt to these changes [25][26]

Group 1 - Snowflake (SNOW) reported a double beat in Q3'26 results, but its stock price declined by approximately 11% as of December 4, 2025 [1] - The decline in stock price was attributed to lower than expected guidance for Q4'26, leading some investors to take profits [1]

Group 1 - Huawei's founder Ren Zhengfei emphasized that the future will see an excess of computing power, stating that building numerous large models is a correct exploration [2][3] - Ren highlighted that AI's true value lies in its application rather than invention, asserting that AI could contribute significantly to various industries, such as coal washing and steel production [2][3] - SoftBank's Masayoshi Son expressed regret over selling Nvidia shares, indicating that the sale was driven by the need for capital to invest in AI projects like OpenAI [3] Group 2 - Google CEO Sundar Pichai called for a national AI regulatory framework in the U.S. to avoid regulatory chaos and maintain competitive advantage [4] - Elon Musk predicted that AI could resolve the U.S. debt crisis within three years, suggesting that productivity gains from AI will soon outpace inflation [4] - The gap between China and the U.S. in AI capabilities has reportedly narrowed, with fewer doubts expressed about this disparity in the current market [4] Group 3 - Nvidia's CFO refuted claims of an AI bubble, stating that the current phase is an early stage of transitioning to AI-required data center infrastructure [5] - Nvidia's CEO Jensen Huang noted that AI will not directly eliminate jobs but will create new, unconventional roles [6] - UBS reported that the likelihood of an AI bubble in China is low, citing limited financing and a pragmatic approach to AI investments by leading internet companies [7] Group 4 - AMD's CEO Lisa Su downplayed concerns about an AI bubble, asserting that the demand for chips will continue to grow as AI technology develops [8] - Morgan Stanley projected explosive growth in Google's TPU production, raising estimates significantly for the coming years [9][10] - SemiAnalysis indicated that Google's advantage lies in its AI infrastructure rather than chip performance, suggesting a competitive threat to Nvidia [11] Group 5 - DeepSeek announced the release of two official model versions, aiming to enhance reasoning capabilities and support various applications [12] - The first domestic GPU company, Moore Threads, saw a significant stock price increase upon its debut, raising substantial funds for AI chip development [13] - HSBC partnered with Mistral AI to integrate generative AI tools across its operations, enhancing efficiency and customer service [13] Group 6 - The Ministry of Industry and Information Technology reported that China's software business revenue reached 125.1 billion yuan, reflecting a 13.2% year-on-year growth [16] - The first AI crop "genetic scientist" in China is set to launch globally next year, showcasing advancements in agricultural research [17] - Alibaba released an updated image generation model, Qwen-Image, which has been integrated into its app for user access [18]

Group 1 - Snowflake Inc. reported a strong quarter but experienced a decline in stock price after earnings, attributed to a lower-than-expected operating margin guidance of 7% compared to the anticipated 8.5% [1] - The company has seen significant stock performance, with an increase of over 70% for the year prior to the earnings report, indicating strong market confidence in its AI capabilities [1] - Snowflake's cloud platform enables organizations to consolidate data for analysis, application development, information sharing, and AI-driven business solutions [2] Group 2 - While Snowflake is recognized for its potential as an investment, there are other AI stocks that may offer greater upside potential and lower downside risk [3]

UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549 FORM 10-Q (Mark One) ☒ QUARTERLY REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 Table of Contents For the quarterly period ended October 31, 2025 OR ☐ TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 For the transition period from to Commission File Number: 001-39504 SNOWFLAKE INC. (Exact name of registrant as specified in its charter) (State or other jurisdiction of ...

Snowflake Inc. logo centered on a sleek, dark blue digital background with illuminated network connections, symbolizing cloud data technology. Key Points Snowflake is part of the trend in which accelerating AI adoption drives growth. Management's Q4 guidance is cautious and analysts are calling the December price pullback is an opportunity. Analysts are narrowing their target range to around the consensus, calling for a 30% upside. Interested in Salesforce Inc.? Here are five stocks we like better. ...