Financial Data and Key Metrics Changes - The company reported Q2 revenue of $294 million, reflecting a 9% year-over-year growth and a 7% increase in constant currency [26] - Remaining performance obligations (RPO) grew by 16% year-over-year, reaching $1.5 billion [27] - Q2 operating margin was 28.6%, with earnings per share (EPS) of $0.33, exceeding guidance [30] Business Line Data and Key Metrics Changes - Customer adoption of Enterprise Advanced significantly increased, contributing to strong revenue growth [6] - Suites customers now account for 63% of total revenue, up from 58% a year ago, driven by the adoption of Box.ai and Enterprise Advanced [27] - The company experienced a net retention rate of 103%, an improvement from 102% in the previous quarter [28] Market Data and Key Metrics Changes - Approximately one-third of revenue is generated outside the U.S., with 65% of international revenue coming from Japan [32] - Q2 billings were $265 million, up 3% year-over-year, exceeding expectations despite foreign exchange headwinds [28] Company Strategy and Development Direction - The company is focusing on driving the adoption of Enterprise Advanced and enhancing AI capabilities to transform enterprise workflows [18][21] - Plans to introduce new workflow and no-code app capabilities to automate critical workflows around content [16] - The company aims to maintain a strong security posture to protect sensitive enterprise data as AI capabilities expand [17] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the momentum in AI adoption and its impact on business growth [25] - The company is committed to a disciplined capital allocation strategy while investing in key initiatives to drive growth [25] - Management acknowledged the challenges in the macroeconomic environment but remains focused on long-term growth opportunities [54] Other Important Information - The company announced the retirement of its current Chief Revenue Officer, with Jeff Newsome appointed as the new CRO [20] - The upcoming BoxWorks conference is expected to showcase significant product launches and updates [23] Q&A Session Summary Question: What drove the outperformance in billings? - Management indicated that the outperformance was influenced by strong bookings, early renewals, and the demand for AI capabilities in Enterprise Advanced [40][41] Question: How is the pipeline expanding with Enterprise Advanced? - The company noted that the use cases for Enterprise Advanced are broadening, leading to larger deal sizes and more complex workflows [42][44] Question: What is driving net seat growth? - The increase in net seat growth is attributed to the relevance of Enterprise Advanced to more users across customer organizations [47] Question: How common are upgrades to Enterprise Advanced? - Upgrades to Enterprise Advanced are occurring more frequently than expected, with significant pricing uplifts observed [49] Question: How does early renewal impact Q2 performance? - Early renewals contributed to the strong performance, with similar impacts from various factors driving overall outperformance [52][54] Question: What are the next steps for customers using metadata extraction? - Customers are expected to automate workflows tied to extracted data, enhancing operational efficiency [60][64] Question: What is the vision for the MCP server? - The MCP server aims to serve as a central repository for unstructured data, allowing seamless access across various AI systems [66][70]

Second Quarter Fiscal FY26 Financial Results August 26, 2025 Forward-looking statements & non-GAAP financial measures This presentation contains forward-looking statements that involve risks, uncertainties, and assumptions, including statements regarding Box's expectations regarding its growth and profitability, the size of its market opportunity, its investments in go-to-market programs, the demand for its products, the potential of AI and its impact on Box, the timing of recent and planned product introdu ...

AI Model Architecture Discovery - The AI field is approaching an era where AI can discover new knowledge and apply it to itself, potentially leading to exponential innovation [1][3] - The current bottleneck in AI discovery is human innovation, limiting the scaling of AI advancements [2][3] - The "AlphaGo moment" for model architecture discovery involves AI self-play to hypothesize, code, test, and analyze new model architectures [3][12] - The key to this approach is AI's ability to learn without human input, discovering novel solutions unconstrained by human biases [8] ASI Arch System - The ASI Arch system uses a researcher, engineer, and analyst to autonomously propose, implement, test, and analyze new neural network architectures [13][14][15][16] - The system learns from past experiments and human literature to propose new architectures, selecting top performers as references [14] - The engineer component self-heals code to ensure new approaches are properly tested [15] - The analyst reviews results, learns insights, and maintains a memory of lessons learned for future generations of models [16] Experimental Results and Implications - The system ran 1,700 autonomous experiments over 20,000 GPU hours, resulting in 106 models that outperformed previous public models [17][18] - The potential for exponential improvement exists by increasing compute resources, such as scaling from 20,000 to 20 million GPU hours [19] - The self-improving AI system can be applied to other scientific fields like biology and medicine by increasing compute resources [20] - The open-sourced paper and code have significant implications, with multiple companies publishing similar self-improving AI papers [21]

Core Viewpoint - Box reported a decline in non-GAAP earnings for Q1 fiscal 2026, but total revenues exceeded expectations, driven by strong demand for its Suite offerings and new product introductions [1][2][3]. Financial Performance - Non-GAAP earnings for Q1 fiscal 2026 were 30 cents per share, a 23.1% decline year over year, but exceeded the Zacks Consensus Estimate by 20% [1] - Total revenues reached $276.3 million, surpassing the consensus mark by 0.67%, with a year-over-year increase of 4.4% on a reported basis and 5% on a constant-currency basis [1] - Billings for the quarter were $242.3 million, reflecting a 27% year-over-year increase (17% growth on a constant-currency basis) [3] - The company’s net retention rate improved to 102%, up 100 basis points year over year [4] Product and Service Developments - The revenue growth was primarily driven by the strong momentum of Box Suites, which bundle multiple products and services [2] - Box introduced a new Box AI Agent for Microsoft 365 Copilot, enhancing customer capabilities to interact with Box content [4] Operating Metrics - Non-GAAP gross margin for Q1 fiscal 2026 was 80.5%, an increase of 30 basis points year over year [6] - Operating expenses rose to $209.3 million, an 11.1% increase year over year, leading to an operating margin of 25.3%, which contracted by 130 basis points [6] Balance Sheet and Cash Flow - As of April 30, 2025, cash and cash equivalents were $689.7 million, up from $624.6 million at the end of January 2025 [7] - The company generated $127.1 million in cash from operations, an increase from $102.2 million in the previous quarter [8] - Non-GAAP free cash flow for the quarter was $118.3 million, with $50 million spent on share repurchases [9] Guidance - For Q2 fiscal 2026, Box expects revenues between $290 million and $291 million, indicating an 8% rise year over year [10] - For fiscal 2026, the revenue guidance is set between $1.16 billion and $1.17 billion, suggesting a 7% year-over-year increase [11]

Financial Data and Key Metrics Changes - In Q1 FY 2026, revenue grew 4% year over year, or 5% in constant currency, reaching $276 million [8][24] - Remaining Performance Obligations (RPO) increased by 21% year over year to $1.5 billion [8][25] - Billings rose 27% year over year to $242 million, exceeding expectations [26] - Operating margin was 25.3%, down from 26.6% year over year, but adjusted for certain factors, it would have increased by 90 basis points [28] - Gross margin improved to 80.5%, up 30 basis points year over year [27] Business Line Data and Key Metrics Changes - Suite customers now represent 61% of total revenue, up from 56% a year ago, driven by strong demand for AI capabilities [25] - The company saw strong momentum in customer adoption of Enterprise Advanced, particularly in sectors like healthcare and financial services [9][19] Market Data and Key Metrics Changes - Approximately 65% of international revenue comes from Japan, indicating a strong market presence in that region [30] - The company is experiencing a shift in customer conversations towards AI-driven workflows, with over half of surveyed IT leaders expecting transformation from AI in the next two years [10][11] Company Strategy and Development Direction - The company is focused on building an intelligent content management platform that integrates AI capabilities to enhance enterprise workflows [12][20] - Partnerships with major AI providers like OpenAI and IBM are being leveraged to enhance product offerings and customer engagement [15][16] - The company aims to drive pricing improvements in the range of 20% to 40% for Enterprise Advanced deals [18] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the strong customer demand for Box AI, despite macroeconomic uncertainties [32] - The company anticipates a revenue range of $1.165 billion to $1.170 billion for FY 2026, reflecting a 7% year-over-year growth [33] - Management remains prudent in their outlook, considering potential impacts on IT spending due to the macroeconomic environment [32] Other Important Information - The company received FedRAMP high authorization, allowing U.S. government agencies to utilize its platform for sensitive data [19] - The first state of AI in the enterprise survey indicated that nearly 90% of IT leaders are already using AI agents in some capacity [10] Q&A Session Summary Question: Demand picture and guidance prudence - Management noted healthy customer conversations and strong momentum heading into Q2, while remaining prudent due to the dynamic macro environment [42][43] Question: Billings and RPO growth vs. revenue guidance - Management explained that the strong billings growth was influenced by early renewals, which would impact Q2 [44][45] Question: Seat growth trends - Management indicated that pricing improvements are driving growth more than seat expansion, with a focus on Enterprise Advanced [50][52] Question: Early renewals and AI adoption - Management highlighted that early renewals were primarily driven by customers adopting AI capabilities, with expectations for continued higher volumes [56][57] Question: AI cost and margin impact - Management expressed optimism about the decreasing costs of AI inference and its potential to remain margin neutral [60][63] Question: Customer migration from legacy ECM providers - Management reported an uptick in customers migrating to modern platforms, aided by partnerships with system integrators [69][70] Question: Platform revenue and AI unit consumption - Management acknowledged early traction in AI unit consumption, with a focus on data extraction use cases across various industries [82][83]

Core Insights - LPL Financial has announced significant updates to its financial technology and investment solutions in Q1 2025, introducing 80 new product enhancements aimed at improving experiences for advisors, institutions, and end clients [1][6] Technology and AI Enhancements - The firm aims to enhance daily tools and processes for advisors, allowing them to focus on core business activities while ensuring platform security and reliability [2] - New technology solutions include digitized alternative investment processes, a digital marketing platform leveraging AI, and enhancements to client rebalancing tools [6] Leadership Expansion - Vaughn Harvey has been appointed as Executive Vice President and Chief Data and Artificial Intelligence Officer to lead data and AI initiatives, driving innovation across the organization [4] Industry Recognition - LPL received the 2025 Technology Innovation Award for its Meeting Manager solution, which enhances advisor productivity and client engagement [5] - The Chief Information Security Officer was recognized on the Cyber 25 Women of Impact List for contributions to cybersecurity [5] Financial Overview - LPL Financial supports over 29,000 financial advisors and approximately 1,200 institutions, managing around $1.8 trillion in brokerage and advisory assets for about 7 million Americans [7]

RT Box (@Box)Box AI now has support for @xAI's Grok 3 in beta. Check out how to use Grok 3 in the Box AI API for advanced document processing, data extraction, and Q&A in your app. https://t.co/90m85b96AW ...