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Oracle Beats Forecasts With Robust Q4 Growth And Bold AI Investment Strategy

Earnings And Revenue Outperformance

Oracle reported better-than-expected earnings and revenue for its fiscal fourth quarter while raising its annual profit forecast. Adjusted earnings per share came in at $2.03, surpassing LSEG consensus estimates of $1.96. Total revenue reached $19.18 billion, topping the anticipated $19.10 billion. With a year-over-year revenue growth of 21%, the company continues to demonstrate resilient performance despite market headwinds.

Strategic AI Financing And Investment

In a bid to accelerate its artificial intelligence initiatives, Oracle announced plans to secure an additional $40 billion through debt and equity financing, including a previously revealed $20 billion share sale. This follows substantial capital raises in fiscal 2026, which raised concerns about the viability of expanding AI demand. The move underscores Oracle’s commitment to scaling its AI infrastructure, a strategic choice that Chief Executive Officer Clay Magouyrk highlighted during a recent conference call.

Cloud Infrastructure And Software Revenue

Cloud services remained the company’s main growth driver. Revenue from cloud offerings increased 47% to $9.91 billion, while cloud infrastructure revenue surged 93% to $5.8 billion. Software revenue, including licences and support services, declined 2% to $6.82 billion.

Performance Obligations And Capital Expenditures

Remaining performance obligations (RPO) reached $638 billion as of May 31, representing a 363% increase from the previous year. Oracle attributed much of the growth to new AI-related contracts, including agreements involving prepayments for graphics processing units.

Management expects nearly one gigawatt of computing capacity to be operational during the current quarter. Net capital expenditures are projected to reach approximately $70 billion in fiscal 2027, excluding customer prepayments and timing-related adjustments.

Guidance And Leadership Updates

Oracle maintained its fiscal 2027 revenue forecast of $90 billion and raised its adjusted earnings per share outlook to $8.05, slightly above analyst expectations. For the fiscal first quarter, the company expects adjusted earnings of between $1.72 and $1.76 per share and revenue growth of 27% to 29%. In a leadership change, Oracle appointed former Schneider Electric executive Hilary Maxson as Chief Financial Officer. The company also recently secured funding for a $16 billion data centre project in Michigan.

Market Response And Future Outlook

Oracle shares initially fell in extended trading following the financing announcement, but have gained approximately 3% since the beginning of the year. Investors are closely watching whether the company’s expanding AI infrastructure investments and growing contract backlog will support future revenue growth.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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