#Gate正式推出股票交易 #Gate美股. Oracle (ORCL) Cloud Infrastructure & Enterprise AI

#Gate正式推出股票交易 #Gate美股. Oracle (ORCL) Cloud Infrastructure & Enterprise AI

Oracle Is Not Catching Up in Cloud It Is Rewriting the Enterprise AI Infrastructure Playbook

Q3 FY2026 results delivered a clear message: Oracle's cloud transformation has crossed the inflection point. Total revenue of $17.2 billion rose 22% year-over-year in USD, with organic total revenue growth exceeding 20%. Non-GAAP EPS of $1.79 climbed 21%. But the real story lies in the cloud segments: combined cloud revenue surged 44% to $8.9 billion, infrastructure-as-a-service revenue rocketed 84% to $4.9 billion, and multicloud database revenue exploded 531% year-over-year. AI infrastructure revenue grew 243% not incremental improvement, but a structural step-function in demand.

RPO: The $553 Billion Future Revenue Pipeline

Oracle's Remaining Performance Obligations hit $553 billion at the end of Q3, up 325% year-over-year and $29 billion higher sequentially a staggering backlog of contracted future revenue overwhelmingly tied to cloud and AI projects. This RPO figure represents the largest future revenue pipeline in Oracle's history and signals that hyperscalers, enterprises, and governments are committing to multi-year Oracle cloud infrastructure at unprecedented scale. Contracts with OpenAI, xAI, Meta, NVIDIA, and AMD underscore the breadth of Oracle's AI infrastructure positioning.

$90 Billion FY2027 Revenue Target — And the Path to $200 Billion

Management raised its fiscal 2027 revenue outlook by $1 billion to $90 billion, signaling 34% growth and handily beating the analyst consensus of $86.6 billion. Longer-term, Oracle's trajectory suggests it could approach $200 billion in annual revenue by 2028 a transformation from a legacy database vendor into a hyperscaler-tier cloud infrastructure company. FY2026 capital expenditure guidance stands at $50 billion against $67 billion in revenue, with $30 billion raised through investment-grade bonds and mandatory convertible preferred stock to fund the data center buildout. Free cash flow pressure from heavy capex is real over $11 billion negative but it is a deliberate investment cycle mirroring the infrastructure buildouts that propelled Amazon and Microsoft to cloud dominance.

AI Database & Inferencing: The Enterprise Differentiator

Oracle's AI database capability — allowing customers to vectorize private enterprise data and securely connect it with multiple leading LLMs represents a unique differentiator in the emerging AI inferencing market. Where hyperscalers focus on training infrastructure, Oracle is building the bridge between enterprise data sovereignty and AI reasoning, positioning itself as the leader in the inferencing segment that will ultimately be far larger than training as enterprise AI deployment scales. The U.S. Department of Defense contract to deploy AI on classified networks across 10 government cloud regions confirms Oracle's positioning for the most demanding security environments.

The Investment Framework

Oracle is executing the most aggressive cloud infrastructure buildout in its history, with $553 billion in contracted future revenue, 84% IaaS growth, 531% multicloud database growth, and a $90 billion FY2027 revenue target that exceeds analyst expectations. The capex-intensive phase suppresses near-term free cash flow, but the RPO backlog provides unprecedented revenue visibility. Oracle is not merely competing in cloud it is carving out a differentiated position as the enterprise AI infrastructure and inferencing platform, with a revenue trajectory that could double within two years. For investors who recognize that AI infrastructure spending is a multi-year supercycle, ORCL offers exposure to one of its most rapidly scaling beneficiaries.

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