Oracle Plans to Raise $20 Billion to Fund AI and Cloud Expansion

Oracle Plans to Raise $20 Billion to Fund AI and Cloud Expansion

Oracle is planning to raise $20 billion through bond and stock sales as the technology company continues expanding its artificial intelligence (AI) and cloud computing business. The move highlights the growing cost of building the powerful data centers needed to support modern AI services.

Oracle first outlined this funding plan at its October 28, 2026, investor day, when it said it expected to raise $10 billion through equity and $10 billion through debt. The company then filed offering documents on November 2. Its October 28 investor-day announcement also explained how the financing would support its AI and cloud investment plans through fiscal 2030.

Under the proposed transactions, Oracle would sell $10 billion in common stock and offer $10 billion in senior notes, a type of company debt. Bond investors are repaid according to the terms of the notes, while new stock sales can reduce the percentage ownership of existing shareholders. The offerings were still subject to final pricing and completion, meaning the full $20 billion had not yet been collected.

Oracle said the money could support general corporate purposes, including infrastructure spending, debt repayment, future investments or acquisitions, dividends, and share buybacks. Although the financing comes during its major AI and cloud expansion, the offering documents do not require every dollar to be spent on new data centers. The company needs financial flexibility as it invests in computing capacity and manages its existing obligations.

Oracle is expanding its data-center capacity to compete with major cloud providers such as Microsoft and Amazon. The investment is supported by growing demand for the computing power needed to train and operate AI systems. The company previously reported a major increase in its AI cloud backlog, showing how large customer contracts are driving its infrastructure expansion. However, contracted future revenue is not the same as cash already received, and Oracle must still deliver the services covered by those agreements.

Oracle also provides cloud computing capacity to major AI customers, including OpenAI, the company behind ChatGPT. Supporting these workloads requires advanced chips, high-speed networking, reliable electricity, and large data centers. The hardware requirements can differ depending on whether the systems are used to train AI models or handle live requests, as explained in our guide to training and inference AI data centers. Building this infrastructure requires major upfront investment, often long before the resulting revenue covers its costs.

However, Oracle’s growing borrowing has also attracted investor attention. According to its quarterly financial filing for August 31, 2026, the company had approximately $125.34 billion in notes payable and other borrowings, including both short-term and long-term amounts. Oracle also reported around $36.37 billion in cash and cash equivalents at that date. The figures help explain why investors are watching how the company funds its AI expansion while managing its existing debt.

Oracle shares were down around 4% in premarket trading on November 2, 2026, following the financing news. The stock had also fallen approximately 33% since the start of the year through the previous trading session. The early price movement reflected concerns about the company’s large infrastructure spending, growing borrowing requirements, and the potential dilution from issuing additional shares. However, premarket trading does not necessarily indicate where a stock will finish the regular trading session.

Despite concerns about financing costs, Oracle has set an ambitious long-term growth target. The company expects annual revenue to reach at least $225 billion by fiscal 2030, compared with approximately $67.36 billion in fiscal 2026. It also expects adjusted earnings per share to exceed $21 by fiscal 2030. These figures represent company forecasts rather than guaranteed results, and achieving them will depend heavily on expanding cloud capacity, meeting customer demand, and converting large AI contracts into revenue.

Oracle expects its capital spending to reach its highest levels during fiscal 2027 and fiscal 2028 before declining in fiscal 2029. The company is targeting positive free cash flow in the second half of fiscal 2028 and at least $30 billion in free cash flow during fiscal 2029. Oracle also said it expects to limit additional capital-market fundraising for its fiscal 2027โ€“2030 investment cycle to $20 billion, excluding refinancing of existing debt. This amount is separate from an earlier $20 billion equity fundraising program completed in the first quarter of fiscal 2027.

The proposed debt offering includes six groups of senior notes, with maturity dates ranging from 2029 to 2046. Final interest rates, bond pricing, and the number of common shares to be issued had not yet been determined in the preliminary offering documents. Investors and readers can review the relevant prospectuses through Oracle’s SEC filings archive as more details become available.

The fundraising also highlights the practical challenges facing companies building large AI data centers. These facilities require substantial electricity, cooling systems, specialized equipment, and reliable construction schedules. Delays or higher development costs can increase financial pressure before projects begin generating revenue. TechBonafide previously covered reported challenges at an Oracle data-center project, illustrating some of the issues investors may monitor as the company’s cloud infrastructure expands.

For Oracle, the main question is not simply whether it can raise $20 billion. It is whether the company can use that financing to deliver cloud computing capacity on time, convert growing AI demand into reliable revenue and cash flow, and manage its debt without putting too much pressure on shareholders. The results will help show whether Oracle’s large investments can support its ambitious long-term growth targets.

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