Investors with a lot of money to spend have taken a bullish stance on MongoDB (NASDAQ:MDB).And retail traders should know.We noticed this today when the trades showed up on publicly available options history that we track here at Benzinga.Whether these are institutions or just wealthy individuals, we don't know. But when something this big happens with MDB, it often means somebody knows something is about to happen.So how do we know what these investors just did? Today, Benzinga's options scanner spotted 18 ...

Whales with a lot of money to spend have taken a noticeably bearish stance on MongoDB.Looking at options history for MongoDB (NASDAQ:MDB) we detected 11 trades.If we consider the specifics of each trade, it is accurate to state that 27% of the investors opened trades with bullish expectations and 54% with bearish.From the overall spotted trades, 2 are puts, for a total amount of $62,421 and 9, calls, for a total amount of $1,007,410.Projected Price TargetsTaking into account the Volume and Open Interest on ...

Core Insights - MongoDB (MDB) and Snowflake (SNOW) are leading cloud-based data platform providers, with MongoDB focusing on flexible database solutions and Snowflake on enterprise data warehousing and analytics [2] - The database market is projected to grow from $171.36 billion in 2026 to $329.05 billion by 2031, at a CAGR of 13.95%, driven by generative AI adoption, data-sovereignty regulations, and IoT data streams [3] MongoDB (MDB) Highlights - MongoDB's growth is supported by product innovation and strong adoption of its cloud platform, MongoDB Atlas, which accounts for over 75% of total revenues [4] - The company is enhancing its capabilities for analytics and AI applications, integrating features like vector search and text search into its core database [5] - MongoDB has a robust partner ecosystem and serves over 70% of the Fortune 100, with a customer base exceeding 62,500 [6] - The Zacks Consensus Estimate for MDB's fiscal 2026 EPS is $4.79, indicating a year-over-year growth of 30.87% [7] Snowflake (SNOW) Highlights - Snowflake's business model focuses on a cloud data warehouse platform that consolidates structured and semi-structured data, with product revenue reaching $1.16 billion in the fiscal third quarter, reflecting 29% year-over-year growth [8] - The company has launched Snowflake Intelligence, an AI platform that quickly gained 1,200 customers and a $100 million annual run rate [10] - The Zacks Consensus Estimate for SNOW's fiscal 2026 EPS is $1.2, suggesting a year-over-year growth of 44.58% [11] Price Performance and Valuation - Over the past six months, MongoDB's shares have increased by 79.9%, while Snowflake's shares have declined by 2.5% [12] - MongoDB trades at a forward price-to-sales ratio of 11.4x, compared to Snowflake's 12.66x, indicating a favorable valuation for MongoDB despite its stronger performance [14] Conclusion - Both MongoDB and Snowflake are well-positioned to benefit from the expanding database market, but MongoDB's growth profile appears more compelling due to its accelerating Atlas momentum and efficient customer acquisition [16][19] - MongoDB holds a Zacks Rank 1 (Strong Buy), while Snowflake has a Zacks Rank 3 (Hold), suggesting a more favorable investment outlook for MongoDB [20]

Core Viewpoint - Investors are showing a bullish sentiment towards MongoDB, with a significant portion of options trades indicating positive expectations for the stock's performance. Options Activity - 45 trades were detected for MongoDB, with 53% of investors opening trades with bullish expectations and 33% with bearish [1] - The total amount for put options was $2,383,938, while call options totaled $1,998,672 [1] - Big players are targeting a price range for MongoDB between $175.0 and $640.0 over the past quarter [2] Volume and Open Interest - The average open interest for MongoDB options is 323.74, with total volume reaching 12,119.00 [3] - A chart illustrates the trends in call and put option volume and open interest for high-value trades within the strike price corridor of $175.0 to $640.0 over the last 30 days [3] Significant Options Trades - Notable trades include a bearish call option with a strike price of $110.0 and a bullish put option with a strike price of $15.2, among others [6] Company Overview - MongoDB, founded in 2007, offers a document-oriented database that accelerates application development, with options for fully managed (MongoDB Atlas) or self-managed (MongoDB Enterprise Advanced) services [7] Market Status and Analyst Ratings - The average target price from analysts for MongoDB is $496.0, with current trading at $395.27, reflecting a decrease of -3.87% [9][10] - Analysts from Needham, Barclays, and RBC Capital maintain ratings of Buy or Overweight, with target prices ranging from $480 to $500 [10][11]

Group 1 - MongoDB Inc. has been identified as a promising tech stock, with Truist raising its price target to $500 from $450 while maintaining a Buy rating, highlighting a significant valuation gap in the AI sector [1][3] - In FQ3 2026, MongoDB reported $628 million in revenue, marking a 19% year-over-year increase, driven primarily by MongoDB Atlas, which experienced a 30% revenue growth and now constitutes 75% of total revenue [2][3] - The company provided optimistic guidance for FQ4 2026, expecting revenue between $665 and $670 million, which translates to a growth rate of 21% to 22%, and for FY2026, projected revenue is between $2.434 and $2.439 billion [3]

Core Insights - MongoDB's Atlas platform is central to its growth strategy as enterprises increasingly adopt cloud databases and deploy AI applications at scale [1][2] - Atlas's document-oriented architecture is designed for unstructured and semi-structured data, providing flexibility compared to traditional relational databases [1] - The platform's multi-cloud support helps enterprises avoid infrastructure lock-in while ensuring consistent performance and security [1] Subscription Growth - Atlas is driving durable subscription growth, becoming a key component of MongoDB's recurring revenue as organizations adopt consumption-based cloud models [2] - The pricing structure of Atlas facilitates cloud migration for organizations at various stages, contributing to steady revenue compounding [2] - The platform has gained traction in sectors like financial services, healthcare, and technology, which require real-time access and high availability [2] Financial Performance - In Q3 of fiscal 2026, Atlas revenue grew by 30% year-over-year, accounting for 75% of MongoDB's total revenues [3] - The Zacks Consensus Estimate for Q4 fiscal 2026 revenues is $667.6 million, with Atlas revenues projected at $495.05 million, reflecting a 27.2% year-over-year growth [3] - The ongoing enterprise modernization and AI adoption are expected to sustain Atlas's subscription growth into 2026 and beyond [3] Competitive Landscape - MongoDB faces competition from Snowflake and Oracle, both of which are pursuing subscription-led growth in the cloud data market [4] - Snowflake promotes its Data Cloud as an alternative to Atlas, focusing on elastic scaling and AI-enabled analytics [4] - Oracle's Autonomous Database targets mission-critical workloads, emphasizing automation and reliability, intensifying competition for MongoDB [4] Stock Performance and Valuation - MongoDB shares have increased by 98.6% over the past six months, outperforming the Zacks Internet – Software industry's decline of 6.6% [5] - The stock is currently trading at a forward Price/Sales ratio of 12.08X, significantly higher than the industry's 5.63X [9] - The Zacks Consensus Estimate for Q4 fiscal 2026 earnings is $1.46 per share, indicating a 14.06% year-over-year growth [11]

Core Insights - MongoDB Inc. (NASDAQ:MDB) is recognized as one of the top high-growth stocks to consider, with UBS raising its price target to $440 from $330 while maintaining a Neutral rating on the shares [1] Financial Performance - The third-quarter revenue exceeded analyst expectations by $37 million, reflecting a 6% increase consistent with the previous quarter's performance [1] - Projected revenues for the fourth quarter are expected to reach $670 million, indicating a significant 27% increase compared to forecasts [3] Product Performance - The Atlas cloud database service continues to show strong growth, achieving a 30% year-over-year increase, driven primarily by large enterprise customers [2] - The on-premises Enterprise Advanced product line has demonstrated exceptional strength, benefiting from multi-year agreements [2] Market Trends - Although enterprise spending on AI applications is anticipated to be 4-6 quarters away, there is an observed indirect increase in data spending influenced by AI trends [4] - The new CEO's focus on positioning MongoDB as a data platform suggests potential plans for expansion into new regions [4] Company Overview - MongoDB Inc. offers a general-purpose database platform globally, with core products including MongoDB Atlas, MongoDB Enterprise Advanced, and Community Server [5]

Core Insights - The article discusses the latest insights from technology companies regarding AI developments and their implications for the industry and business landscape. Adobe - Adobe's management is focusing on the development of its Firefly models and expanding partnerships with other Generative AI models, with the new Firefly Image 5 model showing strong performance [2][3] - The consumption of Generative Credits, which measure usage and monetization of Adobe's models, increased 3x sequentially in Q3 2025, indicating high-value usage [3][12] - Firefly is attracting new creators, with a 2x sequential growth in first-time subscriptions in Q3 2025, and over 100 new deals for Firefly Services were signed by enterprises [5][12] - Adobe's management sees LLMs as a significant opportunity for customer acquisition, allowing for better integration of their models with APIs [6] - The introduction of Adobe Brand Concierge and Firefly Foundry aims to enhance customer engagement and content production efficiency [18][21] MongoDB - MongoDB's management believes that the AI wave has not yet significantly impacted its results, but there are encouraging signs from AI startups building applications on its platform [24][25] - The company sees a structural advantage in its document database model for AI applications, which require a different architecture than traditional databases [26][27] - MongoDB Atlas is supporting significant growth for companies like Mercor, which has seen a 50% month-over-month growth using MongoDB [28][29] - A global media company switched from Elastic Search to MongoDB Atlas, achieving a 90% reduction in latency and a 35% increase in click-through rates [30] NVIDIA - NVIDIA's management reports unprecedented demand for its Blackwell platform, with visibility to $0.5 trillion in revenue from 2025 to 2026 [36][40] - The company anticipates a $3 trillion to $4 trillion annual AI infrastructure build by 2030, driven by increasing compute spend from foundation model builders [37][41] - NVIDIA's GPUs, including older generations, are fully utilized, providing a significant total cost of ownership advantage [39] - The company has seen strong growth in its data center revenue, driven by the GB300 chip, which contributed to a record $51.2 billion in Q3 2025 [40] - NVIDIA's networking revenue has also seen substantial growth, with a 162% year-over-year increase, as major AI deployments now include its networking solutions [47][48]

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 - Deep-pocketed investors are showing a bullish sentiment towards MongoDB, indicating potential significant developments ahead [1] - The options activity for MongoDB has been notably high, with a split sentiment among investors [2] Options Activity - In the last 30 days, MongoDB has seen 20 extraordinary options activities, with 40% of investors bullish and 40% bearish [2] - The total trade price for calls amounts to $1,080,054, while puts total $160,960, indicating a stronger interest in calls [2] - Significant investors are targeting a price range of $330.0 to $500.0 for MongoDB over the past three months [3] Volume and Open Interest - Analyzing volume and open interest provides insights into liquidity and interest levels for MongoDB's options, particularly within the strike price range of $330.0 to $500.0 [4] Significant Options Trades - Recent trades include bullish call options with strike prices ranging from $350.0 to $440.0, indicating a positive outlook among some investors [8] Company Overview - MongoDB, founded in 2007, offers a document-oriented database and has gained popularity among developers, with over 500 million downloads of its Community Server since 2009 [9] Market Position and Analyst Ratings - Analysts have provided an average target price of $460.0 for MongoDB, with ratings ranging from $385.0 to $525.0 [10][11] - Analysts from Stifel and Wells Fargo maintain a Buy rating with a target price of $450.0, while Citigroup has a higher target of $525.0 [11] Current Stock Performance - MongoDB's current trading volume is 664,308, with a price of $416.97, reflecting a decrease of -0.42% [13]