Oracle Corporation (ORCL) Q2 2026 Earnings Call Transcript
Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
Overview
Oracle's earnings call highlights significant growth in cloud revenue, strong partnerships, and aggressive AI expansion plans. Year-over-year increases in key financial metrics, such as total revenue and EPS, coupled with strategic partnerships with Meta and NVIDIA, indicate strong market positioning. Despite unclear timelines for AI margin improvements, the optimistic guidance and robust financial performance suggest a positive stock price reaction.
Key Financial Performance
Remaining Performance Obligations (RPO) $523.3 billion, up 433% year-over-year, driven by contracts signed with Meta, NVIDIA, and others, diversifying the customer backlog.
Total Cloud Revenue $8 billion, up 33% year-over-year, representing a significant acceleration from the 24% growth rate reported last year. Cloud revenue now accounts for half of Oracle's overall revenue.
Cloud Infrastructure Revenue $4.1 billion, up 66% year-over-year, with GPU-related revenue growing 177%. Growth attributed to faster expansion compared to competitors.
Cloud Database Services Revenue Up 30% year-over-year, with Autonomous Database revenue up 43% and Multicloud consumption up 817%.
Cloud Applications Revenue $3.9 billion, up 11% year-over-year. Strategic back-office applications revenue was $2.4 billion, up 16%.
Total Revenue $16.1 billion, up 13% year-over-year, higher than the 9% growth reported in Q2 last year, continuing the trend of accelerating total revenue growth.
Operating Income $6.7 billion, up 8% year-over-year.
Non-GAAP EPS $2.26, up 51% year-over-year.
GAAP EPS $2.10, up 86% year-over-year, including a pretax gain of $2.7 billion from the sale of interest in Ampere.
Operating Cash Flow $2.1 billion in Q2.
Free Cash Flow Negative $10 billion, with CapEx at $12 billion, reflecting investments in revenue-generating equipment for data centers.
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Operating Highlights
Oracle AI database and AI data platform: Oracle introduced a new AI database and AI data platform that integrates AI models with private enterprise data, ensuring data privacy and security. This platform allows AI models to reason across all data sources, including Oracle and non-Oracle databases, enabling a unified view of business operations.
AI-based ambulatory EHR: Oracle launched a new AI-based ambulatory electronic health record (EHR) system, which has received U.S. regulatory approval and is now generally available.
Cloud infrastructure expansion: Oracle's OCI now operates 147 live customer-facing regions with 64 more planned. The company delivered 50% more GPU capacity this quarter compared to Q1 and launched 11 Multicloud regions, bringing the total to 45 live regions across AWS, Azure, and GCP.
AI partnerships and marketplace growth: Oracle added new AI models from Google, OpenAI, and xAI to its platform. Marketplace consumption grew 89% year-over-year, driven by partnerships with companies like Broadcom and Palo Alto.
Cloud revenue growth: Total cloud revenue grew 33% year-over-year to $8 billion, with cloud infrastructure revenue up 66% and cloud database services revenue up 30%. Multicloud consumption increased by 817%.
Sales reorganization: Oracle combined its industry-based cloud apps and Fusion cloud apps sales teams into a single organization, leading to increased cross-selling synergies and larger deal sizes.
AI-driven enterprise transformation: Oracle is positioning itself as a leader in AI-driven enterprise solutions by integrating AI capabilities across its database, applications, and cloud infrastructure. This strategy aims to enhance customer value and drive growth in AI-related services.
Focus on profitability and strategic investments: Oracle emphasized a rigorous evaluation process for infrastructure investments, ensuring alignment across components to deliver profitable and high-quality services.
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Risk or Challenges
Free Cash Flow: The company reported a negative free cash flow of $10 billion in Q2, primarily due to significant capital expenditures of $12 billion. This reflects the heavy investments being made to support growth, which could strain financial flexibility if not managed effectively.
Capital Expenditures: Oracle's capital expenditures are expected to increase by $15 billion in FY '26 compared to earlier forecasts. This significant rise in CapEx could impact profitability and cash flow if revenue growth does not materialize as expected.
Debt and Financing: The company relies on various debt structures and financing options, including public bonds, bank loans, and private debt markets. While Oracle aims to maintain its investment-grade debt rating, increased borrowing could pose financial risks if market conditions change.
Cloud Infrastructure Expansion: The rapid expansion of Oracle's cloud infrastructure, including 64 planned new regions, requires substantial investment and operational execution. Any delays or inefficiencies in this expansion could impact customer satisfaction and revenue growth.
AI Infrastructure Demand: While demand for AI infrastructure is strong, Oracle's ability to meet this demand depends on securing necessary components like GPUs and managing costs effectively. Supply chain disruptions or cost overruns could hinder growth.
Sales Force Reorganization: The ongoing reorganization of Oracle's sales force to unify selling across applications and industry solutions could temporarily disrupt sales operations and impact short-term revenue growth.
Regulatory Approvals in Healthcare: Oracle's new AI-based ambulatory EHR has received U.S. regulatory approval, but any future regulatory hurdles could delay product rollouts and revenue realization in the healthcare sector.
Customer Contract Execution: Oracle's rigorous process for accepting customer contracts ensures profitability but could limit growth opportunities if the company is unable to align all necessary components for execution.
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Guidance & Outlook
Revenue Expectations: Oracle expects $4 billion of additional revenue in FY '27 due to added RPO in Q2. The full-year FY '26 revenue expectation remains at $67 billion.
Capital Expenditures: Fiscal 2026 CapEx is projected to be about $15 billion higher than previously forecasted after Q1, driven by investments to support growth.
Cloud Revenue Growth: For Q3, total cloud revenue is expected to grow 37%-41% in constant currency and 40%-44% in USD. Total revenues are expected to grow 16%-18% in constant currency and 19%-21% in USD.
Non-GAAP EPS: Non-GAAP EPS for Q3 is expected to grow 12%-14% in constant currency ($1.64-$1.68) and 16%-18% in USD ($1.70-$1.74).
Cloud Infrastructure Expansion: Oracle plans to expand its OCI regions from 147 to 211, with 64 new regions planned. The company is also increasing GPU capacity and delivering new AI infrastructure capabilities.
AI and Multicloud Growth: Oracle is seeing strong demand for AI infrastructure and Multicloud services, with Multicloud database consumption up 817% year-over-year. The company plans to launch 27 more Multicloud regions in the coming months.
AI Data Platform: Oracle is integrating AI models with its database and application platforms to enable multistep reasoning on private enterprise data, aiming to unlock significant value for customers.
Cloud Applications Growth: Cloud applications revenue is expected to accelerate, driven by synergies between back-office and industry applications, as well as the adoption of AI-driven solutions.
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Shareholder Return Plan
The selected topic was not discussed during the call.
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Key Q&A
Q:How much money does Oracle need to raise to fund its AI growth plans?
A:Oracle has various options for delivering capacity to customers, including customers bringing their own chips or vendors renting capacity. Oracle aims to minimize the overall cost of capital and maintain its investment-grade debt rating. Based on current expectations, Oracle will need less, if not substantially less, than $100 million to fund its AI build-out.
Q:How long will it take for AI margins across all OCI data centers to reach the 30%-40% range?
A:The time frame depends on the mix of data centers online and their growth. Oracle is in a rapid build-out phase, and the best way to improve margins quickly is to deliver capacity faster. The period of incurring expenses without revenue is only a couple of months.
Q:What is Oracle's strategy for selling additional platform services alongside AI infrastructure?
A:Oracle is focusing on making its database available across multiple clouds (Multicloud) and enhancing it with vectorization for AI models. Additionally, Oracle has developed an AI Lakehouse to unify and vectorize data from various sources, enabling AI models to perform multi-step reasoning across all data. This strategy is expected to significantly boost the use of Oracle's database and cloud services.
Q:What is the process for converting a data center from one customer to another?
A:Oracle's AI infrastructure is the same as its general cloud infrastructure, allowing for quick reallocation of capacity. The process of transferring capacity from one customer to another takes only hours, and customers can typically adopt the capacity within 2-3 days. Oracle frequently reallocates capacity among customers as part of its operations.
Q:What are the cash flow dynamics for a single data center and how do they scale across multiple data centers?
A:Cash flow depends on the business model used for the data center. Options include customers bringing their own hardware, vendors renting capacity, or Oracle paying upfront for hardware. Expenses and revenues for data centers layer together arithmetically, with timing affecting when cash flows occur.
Q:Why is Oracle confident in the growth of its applications business despite industry trends?
A:Oracle offers complete application suites with over 400 AI features integrated into Fusion applications. Industry-specific applications, such as clinical AI agents, are seeing rapid adoption. Oracle's AI data platform and integrated approach to applications and infrastructure (1 Oracle) provide a unique value proposition, driving growth in applications like Fusion ERP, SCM, HCM, and CX.
Q:Review of Unclear Management Responses
A:Management avoided providing a precise timeline for when AI margins across all OCI data centers would reach the 30%-40% range, stating that it depends on the mix of data centers and their growth. Additionally, while discussing cash flow dynamics for data centers, the response lacked specific numerical details and relied on general descriptions of different business models.
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Earnings Word Cloud
The most frequently occurring keywords in this quarter's earning call
AI infrastructure
AI platform
Alloy
CX
Clay
Cloud AI
Dedicated Region
ERP HCM
Financial Officer
Fusion ERP
OCI AI
Officer Director
Oracle AI
Oracle Cloud
Oracle application
Oracle database
Principal Financial
application database
apps
business
combination
communication
component
conversation
database Oracle
database application
deal
delivery
expansion
force
industry
life
model Oracle
option
production
program
sale
win
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Oracle's earnings call highlights robust financial performance, with strong growth in cloud applications, multicloud database, and AI infrastructure revenue. The company is expanding its cloud infrastructure and integrating AI capabilities, indicating strategic growth. Despite competitive pressures and economic uncertainties, Oracle's partnerships with major tech firms and optimistic guidance on profitability are positive indicators. The Q&A section provides additional insights into strategic initiatives, although some details on CapEx were vague. Overall, the positive financial metrics and strategic growth plans suggest a positive stock price reaction.
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Oracle's earnings call highlights significant growth in cloud revenue, strong partnerships, and aggressive AI expansion plans. Year-over-year increases in key financial metrics, such as total revenue and EPS, coupled with strategic partnerships with Meta and NVIDIA, indicate strong market positioning. Despite unclear timelines for AI margin improvements, the optimistic guidance and robust financial performance suggest a positive stock price reaction.
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Frequently Asked Questions
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They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.
