Financial Data and Key Metrics Changes - Product revenue in Q4 grew 30% year-over-year to reach $1.23 billion [6] - Remaining performance obligations totaled $9.77 billion, with year-over-year growth accelerating to 42% [6] - Net revenue retention was at a healthy 125% [6] - Fiscal 2026 non-GAAP operating margin reached 10.5%, expanding more than 400 basis points year-over-year [6][7] - Stock-based compensation declined from 41% of revenue in fiscal 2025 to 34% in fiscal 2026, expected to further decrease to 27% in fiscal 2027 [7] Business Line Data and Key Metrics Changes - The company added 2,332 net new customers this year, bringing the total to over 13,300 [7] - 740 net new customers were added in Q4, up 40% year-over-year [18] - 733 customers are now spending more than $1 million on a trailing-twelve-month basis, growing 27% year-over-year [18] - A record number of customers crossed $10 million in trailing-twelve-month spend, totaling 56 customers, growing 56% year-over-year [18] Market Data and Key Metrics Changes - The company signed the largest deal in its history, greater than $400 million in total contract value, and signed 7 nine-figure contracts in Q4 [17] - The total number of accounts using AI increased to over 9,100, with Snowflake Intelligence scaling to over 2,500 accounts, almost doubling quarter-over-quarter [8][9] Company Strategy and Development Direction - The company is positioned at the center of the enterprise AI revolution, focusing on delivering a data foundation for enterprises across clouds and data types [4] - The acquisition of Observe is expected to unlock new expansion opportunities within the customer base and extend the company's value proposition in the $50 billion IT operations market [12][19] - The company aims to drive both growth and operating margin expansion while investing in key growth drivers [20] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the durability of the 27% growth forecast for fiscal year 2027, driven by stable growth in the core business and contributions from AI workloads [25][27] - The company anticipates continued strength in its core business and further growth in AI workloads, with a non-GAAP product gross margin of 75% expected for FY 2027 [22] - Management highlighted the transformative impact of AI on operations and customer workflows, emphasizing the importance of Snowflake Intelligence and Cortex Code [14][15] Other Important Information - The company launched over 430 product capabilities this year, underscoring its product velocity [11] - The partnership with OpenAI and Google Cloud is expected to enhance the company's offerings by integrating advanced AI models into its platform [13] Q&A Session Summary Question: Durability of 27% growth forecast for FY 2027 - Management indicated that the guidance is based on observed customer behavior and stable growth in the core business, with contributions from AI workloads and the Observe acquisition [27][28] Question: Momentum with areas outside the core business - Management noted that products like Snowflake Intelligence are major growth drivers, with significant customer adoption and transformative capabilities [28] Question: Details on the $400 million deal - The deal was with an existing customer and reflects the trust in Snowflake's product roadmap and AI strategy [35][36] Question: Changes in sales strategy under new leadership - Management highlighted the excitement within the sales team regarding new products and the positive influence of the new sales leadership [41] Question: Observability market and acquisition rationale - Management emphasized the importance of observability in AI and the efficiency gains offered by the Observe acquisition, which was built on Snowflake [49] Question: Managing customer consumption and pricing predictability - Management discussed the importance of predictable pricing models and plans to introduce features like per-user caps to mitigate consumption risks [54] Question: Platform usage and predictability compared to last year - Management expressed confidence in their ability to model business consumption and highlighted improvements in predictability [71][73]

Market Overview - U.S. equity markets reached new all-time highs in Q4 2025, with the S&P 500 Index rising 2.66% and the Bloomberg U.S. Aggregate Bond Index increasing by 1.10% [1] - The U.S. economy showed resilience, although consumer confidence deteriorated toward year-end, raising concerns about future spending and the labor market [1] Fund Performance - The Aristotle Growth Equity Fund (Class I-2) returned 0.95%, underperforming the Russell 1000 Growth Index's 1.12% [1] - Poor security selection in the information technology and consumer discretionary sectors detracted from performance, while positive contributions from healthcare and industrials improved relative performance [1] Company Spotlight: Snowflake Inc. - Snowflake Inc. (NYSE:SNOW) is a cloud-based data platform company with a market capitalization of $55.115 billion [2] - As of February 24, 2026, Snowflake Inc. stock closed at $161.06 per share, with a one-month return of -25.44% and a 52-week loss of 3.09% [2] - Snowflake empowers organizations to consolidate, manage, and analyze data securely and efficiently through its AI Data Cloud, supporting diverse industry-specific solutions [3]

Financial Data and Key Metrics Changes - Product revenue in Q3 was $1.16 billion, up 29% year-over-year [6] - Remaining performance obligations totaled $7.88 billion, with year-over-year growth accelerating to 37% [7] - Net revenue retention remained stable at a very healthy 125% [7] - Non-GAAP product gross margins were 75.9% [22] - Non-GAAP operating margin expanded more than 450 basis points year-over-year to 11% [22] - For Q4, product revenue is expected between $1.195 and $1.2 billion, representing a 27% year-over-year growth [23] - FY26 product revenue guidance raised to approximately $4.446 billion, representing 28% year-over-year growth [23] Business Line Data and Key Metrics Changes - Financial services and technology verticals led growth in Q3 [21] - 28% of all use cases deployed during the quarter incorporated AI [10] - Over 7,300 accounts are using AI capabilities weekly [8] - 1,200 customers are harnessing next-generation agentic AI capabilities [8] Market Data and Key Metrics Changes - Snowflake surpassed $2 billion in sales through AWS Marketplace in a single calendar year [18] - The company added a record 615 new customers in Q3 [7] - The annual world tour saw over 40,000 participants, a 40% year-on-year increase [12] Company Strategy and Development Direction - Snowflake aims to empower enterprises through data and AI, focusing on operational rigor and product innovation [5] - The company is expanding partnerships with major players like SAP, Workday, and Google Cloud to enhance data integration and AI capabilities [12][15] - The introduction of Snowflake Intelligence is a key part of the strategy to enhance customer engagement and drive AI adoption [10] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's ability to maintain growth momentum and operational efficiency [19] - The focus remains on delivering efficient growth while balancing investments in sales and marketing [25][90] - Management highlighted the importance of AI in driving customer relationships and expanding the value delivered across the data lifecycle [10] Other Important Information - The company achieved a major milestone of $100 million in AI revenue run rate, one quarter earlier than anticipated [10] - Snowflake's operational rhythm remains strong, with a commitment to long-term growth and efficiency [19] Q&A Session Summary Question: Growth rates on product revenue and Q4 guidance - Management noted that Q3 revenue growth was strong, with a slight impact from a hyperscaler outage [31] - The FY guidance reflects underlying customer behavior and is considered a more meaningful signal than quarterly beats [31] Question: Customer adoption of AI products - Management highlighted that Snowflake Intelligence is unlocking significant value for customers, with many using it to create specialized data agents [34] Question: Go-to-market strategy and customer acquisition - Management indicated that Snowflake Intelligence plays a key role in customer acquisition, allowing for hyper-customized demos [41] Question: Impact of migrations on product revenue - Management stated that they are still early in the migration process, with AI helping to accelerate these migrations [50] Question: Zero Copy agreements and their impact - Management explained that Zero Copy agreements facilitate data sharing and collaboration, enhancing customer value [56] Question: Tying Snowflake budget to AI investments - Management confirmed that many customers are integrating Snowflake into their AI strategies, leading to larger contracts and broader product adoption [61] Question: Future milestones and AI consumption - Management indicated that broader adoption of Snowflake Intelligence is a key milestone, with a focus on making all data AI-ready [81]

SNOWFLAKE INVESTOR PRESENTATION Third Quarter Fiscal 2026 S N O W F L A K E T H E M E 2 0 2 5 . 0 1 © 2025 Snowflake Inc. All Rights Reserved Statement Regarding Use of Non-GAAP Financial Measures This presentation includes certain non-GAAP financial measures, which have not been prepared in accordance with generally accepted accounting principles in the United States (GAAP). These non-GAAP financial measures are in addition to, and not as a substitute for, or superior to, financial measures calculated in a ...

Core Insights - Snowflake has transformed from a data infrastructure-focused company to an AI-driven AI Data Cloud, significantly enhancing its value proposition in the enterprise data platform space [2][3][9] - AI has contributed to 50% of Snowflake's new customers and accounted for 25% of all use cases, driving a 32% year-over-year increase in product revenue [2][3] Transformation and Strategy - The transition to AI is seen as a critical step in Snowflake's strategic evolution, with a focus on amplifying the value of existing data [3][4] - The new CEO, Sridhar Ramaswamy, has implemented tactical adjustments to improve accountability and streamline operations, emphasizing faster iteration and customer feedback [9][10] - Snowflake Intelligence, set to launch in November 2024, aims to provide natural language querying and semantic search capabilities, enhancing user interaction with data [10][13] Product Development and AI Integration - Snowflake's AI strategy focuses on leveraging existing data rather than competing directly with major AI model developers like OpenAI [13][14] - The company has integrated a unified sales data platform called Raven, which consolidates various sales dashboards into a single interface for better data exploration [14][15] - Snowflake Intelligence is designed to be user-friendly, allowing employees at all technical levels to access and utilize data without needing SQL skills [15][16] Competitive Landscape and Market Position - Snowflake positions itself as a data platform innovator, differentiating from traditional cloud service providers by emphasizing data-first solutions [26][30] - The company recognizes the importance of partnerships with major software vendors like SAP to enhance its market reach and collaborative value creation [31][33] - Continuous innovation is deemed essential for maintaining competitiveness against larger cloud service providers, which possess vast resources [28][29] AI ROI and Business Impact - Coding agents are identified as a high ROI area, enabling faster project execution and lowering technical barriers for businesses [36][37] - The company advocates for a gradual approach to AI investment, encouraging clients to start with small-scale projects to demonstrate value before scaling up [37][38] - Snowflake's role in the data ecosystem is crucial for shortening the time from investment to value realization, especially compared to developing in-house AI solutions [38][39]

Core Insights - Snowflake and SAP SE have announced a collaboration to integrate Snowflake's AI Data Cloud with SAP Business Data Cloud, enhancing data accessibility for organizations [1] Group 1: Collaboration Details - The partnership aims to provide a seamless experience for organizations to utilize Snowflake's AI Data Cloud alongside SAP's offerings [1] - Snowflake's data and AI platform will be available as a solution extension for SAP BDC customers, facilitating richer data utilization [1]

AI转型与业务增长 - Salesforce 认为所有公司都将转变为智能企业，利用AI和数据技术实现下一代成果 [3][6] - Agent Force 产品线（包括 Data Cloud）收入超过 10 亿美元，并以三位数增长 [3] - AI 代理在过去 9 个月内回答了 150 万个客户问题，与人工座席的客户满意度评分基本相同 [8] - 公司通过 AI 试点项目转化为实际生产的转化率加速了 60% [13] - 预计公司本年度现金流将达到 150 亿美元，为企业软件行业最高 [5] 劳动力结构调整 - 公司正在经历劳动力结构的重新平衡，客户支持人员减少，销售人员增加 [16][17] - AI 不是要取代工作，而是要重塑业务，公司将根据人工智能的力量进行结构调整 [18][19] 业务模式与竞争 - Salesforce 认为 AI 正在重塑业务和技术模式，但并非颠覆，而是渐进式发展 [23][24] - Salesforce 赢得了一项与 Palantir 竞争的美国陆军大型交易 [27] - 公司看到 Agentic 政府的巨大机遇，类似于 Agentic 企业，通过 AI 扩展政府机构的能力 [29] 收购与未来展望 - Salesforce 过去已完成超过 60 项收购，并认为收购是企业成功的风险投资，但管理得当会为公司和客户带来巨大的好处 [31][34] - 公司希望在 2030 年成为智能企业值得信赖的合作伙伴，帮助各种规模的企业和政府实现转型 [35]

Core Viewpoint - Salesforce, Inc. is currently viewed as an exciting AI stock, but recent performance indicates steady yet unimpressive results, leading to a lowered price target from $350.00 to $300.00 while maintaining a Buy rating [1][2]. Financial Performance - Salesforce reported FQ2 results that were steady but not outstanding, with management acknowledging that revenue upside was largely timing-driven, particularly from upfront revenue recognition on licensed products and professional services [2]. - The company’s Data Cloud and Agentic AI showed significant momentum, reaching $1.2 billion in Annual Recurring Revenue (ARR), which is a 120% year-over-year increase and approximately 20% sequential growth. However, this growth is relatively small compared to Salesforce's overall revenue size of over $40 billion [4]. Management Guidance - Management slightly increased full-year revenue and operating margin targets but provided a light guidance for FQ3, indicating that revenue growth for the remainder of the year is expected to be in the high-single digits, consistent with historical trends [4]. - The overall sentiment from the earnings call was that the quarter felt "fine, not great," with little change to estimates, suggesting that the market may have already priced in these results [3][4]. Investment Considerations - While Salesforce has potential as an investment, there are opinions that other AI stocks may offer greater upside potential with less downside risk [5].

Financial Performance - Product revenue reached $1.09 billion in Q2 FY26, representing a 32% year-over-year growth[53] - The company's net revenue retention rate was 125% in Q2 FY26[41] - Non-GAAP product gross margin was 76% in Q2 FY26[41] - Non-GAAP operating margin was 11% in Q2 FY26[75] - The company had 654 customers with over $1 million in product revenue, a 30% year-over-year growth[41, 67] - Remaining Performance Obligations (RPO) reached $6.93 billion, with 50% expected to be recognized as revenue in the next twelve months[57] Customer and Market Growth - The company's total customer base grew to 12,062[61] - Forbes Global 2000 customers increased to 751[63] - The company estimates its Total Addressable Market (TAM) has more than doubled[38] AI Data Cloud - 40% of customers have at least one stable edge in data sharing[85] - Marketplace listings grew by 21% year-over-year to 3,400[85] Fiscal Year 2026 Guidance - The company projects product revenue of $4.395 billion for FY26[88] - The company projects Non-GAAP operating margin of 9% for FY26[88]

Core Viewpoint - Morgan Stanley has released an in-depth report on Snowflake, highlighting its potential as a leading investment opportunity in the cloud data platform sector, assigning an "Overweight" rating with a target price of $225 [1] Company Overview - Snowflake is recognized as a top-tier cloud data warehouse solution, known for its scalability and flexibility, which is reshaping cloud data management [1] - The company serves a diverse customer base, from small startups to Fortune 10 companies, with a market opportunity estimated between $67 billion to $87 billion [1] Product Strengths - Snowflake's products are user-friendly and have a clear value proposition, leading to rapid adoption across various enterprises [2] - The latest product, Cortex, stands out for its simplicity, enabling clients to quickly initiate projects and achieve tangible results, outperforming competitors like Amazon Bedrock [2] - The integration of AI technologies through its Agents product allows clients to significantly reduce the time required for data queries, exemplified by a financial advisor completing a request in 45 minutes instead of a week [2] - Snowflake's advantages in cross-departmental data sharing enhance its competitiveness in a data-driven decision-making environment [2] Financial Performance - According to Morgan Stanley's report, Snowflake's financial outlook is strong, with projected revenues of $3.626 billion and adjusted EBITDA of $567 million for FY2025 [2] - Revenue is expected to grow to $4.515 billion with EBITDA reaching $758 million in FY2026, and further increase to $5.419 billion with EBITDA of $950 million in FY2027 [2] Valuation Insights - Morgan Stanley's valuation method is based on a 15x enterprise value to projected FY2026 revenue ratio, which is higher than the 12x average for high-growth infrastructure software peers, justified by Snowflake's superior recent revenue growth rate of 26% and long-term free cash flow margin of 25% [3] Competitive Landscape - Despite Snowflake's leading position in the cloud data warehouse market, competition remains intense, particularly from public cloud service providers and SaaS companies attempting to enter the data platform space [3] - Snowflake maintains a competitive edge due to its first-mover advantage, technological barriers, and strong customer reputation, being recognized as a preferred choice for enterprise AI data infrastructure [3] Industry Trends - The ongoing digital transformation across industries emphasizes the importance of data as a core asset, with Snowflake positioned to facilitate efficient data sharing and deep data mining for enterprises [4] - The rapid advancement of AI technologies presents new opportunities for Snowflake, allowing for enhanced decision-making and operational efficiency through the integration of AI with its platform [4] Conclusion - Overall, Morgan Stanley's report provides a comprehensive analysis of Snowflake's investment value, highlighting its product advantages, strong financial performance, and alignment with industry trends, suggesting a promising outlook for investors [5][6]