Raymond James sets a price target of $250 for Snowflake (NYSE:SNOW), indicating a potential increase of approximately 16.03%.Snowflake introduces 370 new product capabilities, showcasing its commitment to innovation and growth in the cloud analytics sector.The global cloud analytics market is expected to grow significantly, with Snowflake well-positioned to capitalize on this expansion.Snowflake (NYSE:SNOW) is a prominent player in the cloud data warehousing and analytics sector. The company offers a platfo ...

​Snowflake Inc. (NYSE:SNOW) is one of the Best SaaS Stocks to Buy Right Now. The share price of Snowflake Inc. (NYSE:SNOW) has fallen more than 17.7% since its fiscal Q3 2026 earnings release on December 3. The cautious investor sentiment comes despite the company exceeding Wall Street estimates and is mainly due to concerns regarding slowing growth. However, Wall Street maintains a positive outlook with analysts’ 12 month average price target reflecting more than 29% upside from the current level. ​Recen ...

Key Takeaways Snowflake expanded its platform with 370 new GA product capabilities, up 35% year to date. Snowflake reported more than 7,300 customers using its AI and ML tools weekly. GOOGL ended Q3 2025 with a $155B Google Cloud backlog, up 46% sequentially. Snowflake (SNOW) and Alphabet (GOOGL) are major players in the cloud data and analytics space. While Snowflake provides a pure-play cloud data warehousing and analytics platform, Alphabet offers similar capabilities through Google Cloud’s BigQuery as p ...

Core Insights - Palantir and Snowflake are approaching AI from different angles, with Palantir focusing on application deployment and Snowflake on data infrastructure [1][5][6] Financial Performance - Palantir reported a 63% revenue growth with a 51% operating margin, generating $393 million in operating income and $540 million in free cash flow, marking its first time crossing $1 billion in trailing 12-month free cash flow [2][4] - Snowflake achieved $1.21 billion in revenue, a 29% increase, but reported a negative 27% operating margin, losing $329 million operationally [3][4] Market Positioning - Palantir's U.S. commercial revenue surged 121% to $397 million, benefiting from government contracts and high customer conversion rates [2][7] - Snowflake's net revenue retention was 125%, but it faces challenges in convincing customers to consolidate workloads on its platform amid competition [3][6] Valuation Metrics - Palantir trades at 112x sales, reflecting market expectations for continued AI dominance, while Snowflake trades at 17x sales, viewed as a turnaround play [8] - Institutional ownership is higher in Snowflake at 74% compared to Palantir's 60% [8] Strategic Focus - Palantir emphasizes the importance of application and workflow in AI, showcasing significant efficiency gains for clients [5] - Snowflake's strategy revolves around data warehousing, with a need to establish a clear path to profitability [6][11]

Core Viewpoint - BTIG identifies Zscaler as the top large-cap pick and Netskope as the top small-cap pick in the security and infrastructure software sector for the first half of 2026, with other recommended stocks including Snowflake, SailPoint, and Datadog [1] 2025 Review - The security and infrastructure software sector faced challenges in 2025, with a median return of -0.8%, significantly lagging behind the Nasdaq index, which rose by 22% [2] - The best-performing companies included Cloudflare, MongoDB, CrowdStrike, Snowflake, and CyberArk Software, all expected to benefit from AI in various ways [2] - Poor performers were typically single-solution providers in commoditized markets or those facing adverse AI-related factors [2] 2026 Outlook - The cybersecurity sector is expected to stabilize, with projected growth of 16% in 2025 and similar growth anticipated for 2026 [4] - Key areas of focus include cloud security, security services, and identity authentication, with ongoing market disruption opportunities in the SIEM sector [4] - Despite the importance of AI security, most organizations are expected to rely on existing vendor solutions for AI workload protection in the next 12 to 18 months [4] - Top AI-related picks include Netskope, SailPoint, Cloudflare, Zscaler, Palo Alto Networks, and CrowdStrike [4] - The integration of platforms remains a primary theme, with a preference for companies with strong multi-product portfolios that can drive adoption across similar or adjacent procurement centers [4] Observability Sector - There is optimism in the observability space, with clients prioritizing vendor integration, benefiting companies like Datadog and Dynatrace [5] - The influx of AI-related workloads is expected to create favorable conditions for vendors [5] Competitive Landscape - Palo Alto's acquisition of Chronosphere introduces a potential disruptive catalyst in the observability market, although previous aggressive pricing strategies in other verticals did not significantly impact market leader CrowdStrike [6] - Similar competitive dynamics are observed in the observability sector with Datadog and Dynatrace [6]

Earnings Overview - SentinelOne reported a 23% year-over-year increase in annual recurring revenue, reaching $1.05 billion, with total revenue up 23% to $258.9 million [3][5] - Non-GAAP operating margins improved to 7%, a 1,200 basis point increase, while non-GAAP net income margins reached 10%, up 1,000 basis points [3] - GAAP operating margin was negative 28%, and GAAP net loss margin was negative 23%, indicating significant losses [3][5] - Analysts predict SentinelOne will not achieve GAAP profitability until 2032, which may be acceptable to investors if growth and free cash flow remain healthy [5] Snowflake Performance - Snowflake's product revenue grew by 29% year-over-year, totaling $1.16 billion, with remaining performance obligations (backlog) increasing by over 37% to $7.88 billion [5][7] - Non-GAAP operating margin expanded by 450 basis points year-over-year to 11% [6] - Analysts forecast Snowflake will reach GAAP profitability by 2031, indicating a long wait for investors [8] Competitive Landscape - SentinelOne competes directly with CrowdStrike in the endpoint security market, emphasizing the importance of continued investment for growth [3][4] - Snowflake is recognized for its strong business fundamentals and strategic partnerships, although it faces high valuation concerns and slowing revenue guidance [7][8] - Both companies are investing heavily in AI, which may impact short-term profitability but is expected to drive long-term growth [8] Netflix and Warner Brothers Discovery Deal - Netflix has agreed to acquire Warner Brothers Discovery in a cash and stock deal valued at $72 billion, while also assuming over $10 billion in debt [12] - The acquisition is seen as a strategic move to strengthen Netflix's position in the streaming market, potentially enhancing its content library and subscriber base [14][16] - Analysts express mixed feelings about the financial burden of the deal, with concerns about increased debt levels for Netflix [16][17] Market Reactions - Paramount Skydance has made a hostile bid for Warner Brothers Discovery, offering a premium cash deal that could complicate Netflix's acquisition plans [21][22] - The competitive landscape is heating up, with potential implications for both Netflix and Paramount in terms of market positioning and regulatory scrutiny [22][23]

There are some heavily hyped AI software stocks on the market today. Investors looking for alternatives to those would do well to take a closer look at Snowflake.Palantir Technologies is among the leaders in the artificial intelligence (AI) software market, and has experienced terrific revenue and earnings growth over the past couple of years. As a result, its stock has been flying higher. But the problem is that its shares are now trading at expensive levels. There's a large amount of hoped-for future grow ...

Core Insights - Snowflake's stock may face challenges in achieving significant returns in 2026 despite strong operating results and a 43.7% increase in stock price this year [1][3] - The company has developed the Data Cloud to help businesses aggregate data from multiple cloud providers, which is crucial for effective AI model development [2] Financial Performance - Snowflake generated $1.16 billion in product revenue in the third quarter, reflecting a 29% year-over-year increase, surpassing management's forecast of $1.13 billion [9] - Remaining performance obligations (RPOs) grew by 37% to a record high of $7.8 billion, indicating potential future revenue, although less than half is expected to be recognized in the next 12 months [10] - The company reported a net loss of $293 million in the third quarter, contributing to a year-to-date loss exceeding $1 billion due to increased operating expenses [11] AI and Product Development - Snowflake launched Cortex AI in 2023, providing businesses with tools to implement AI solutions, including access to large language models from developers like OpenAI [5] - The platform includes Document AI, which automates data extraction from unstructured sources, significantly reducing the time and cost associated with manual data processing [6] - Snowflake Intelligence, a feature of Cortex, allows employees to use natural language to derive insights from internal data, enhancing productivity across skill levels [7] Customer Engagement - As of the end of fiscal Q3 2026, Snowflake had 12,621 customers, with 7,300 using AI products weekly, more than doubling from 3,200 in the previous year [8] Valuation Concerns - Snowflake's current price-to-sales (P/S) ratio stands at 17.4, which is significantly higher than other major cloud and AI service providers, potentially limiting future stock gains [14] - Competitors like Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure have reported faster revenue growth rates, raising questions about Snowflake's premium valuation [17]

Core Viewpoint - Citi analysts believe that "Agentic workflows" will be the main growth and valuation driver for software companies focused on AI-driven usage-based billing data and cloud core resource consumption until at least the end of 2026 [1] Group 1: AI Workflows and Market Trends - The transition from "AI experimentation" to "initial deployment of AI agents" is expected to drive enterprise software and cloud computing spending to grow by 20-35% on top of a 50% increase in 2025 [2] - Major cloud vendors and AI-driven software companies like Oracle, Snowflake, MongoDB, and Elastic are anticipated to be the biggest beneficiaries of this trend [1][2] - The demand for AI applications, particularly those enhancing B2B operational efficiency, is surging across various industries, as evidenced by strong performance from companies like Google, AppLovin, and Palantir [3] Group 2: AI Application Development - The development of AI applications is increasingly focused on "generative AI applications" and AI agents capable of executing complex tasks autonomously [4] - The launch of Google's Gemini3 has sparked a new wave of AI applications, significantly increasing demand for AI processing power [5][8] - MongoDB is positioned as a key beneficiary in the AI ecosystem, leveraging its integration with Google Cloud and Vertex AI to capitalize on the growing demand for cloud-based AI solutions [9][11] Group 3: Financial Performance and Projections - MongoDB's recent earnings report exceeded Wall Street expectations, highlighting the strong growth trajectory of its core business and its integration with Google Cloud [9][12] - The overall AI investment narrative is shifting from a focus on computational power to one centered on "agentic workflows and data usage" as a source of revenue [10] - The AI ecosystem, particularly companies like MongoDB, is experiencing robust growth driven by increased demand for cloud AI processing capabilities [12][13]

Core Insights - Data is essential for the development of artificial intelligence, which positively impacts Snowflake stock investors [1] Company Summary - Snowflake is identified as an excellent business, indicating strong fundamentals and growth potential [1] - The video discusses whether the current stock price is justified, suggesting a focus on valuation metrics [1]