AI Specialization Drives Cloud Surge... Record-Breaking Earnings Revealed

Oracle Corporation (ORCL) achieved record revenues in both the fourth quarter and full fiscal year 2026, driven by strength in its cloud infrastructure and applications businesses. Fourth-quarter revenue rose 21% year-over-year to $19.2 billion (approximately KRW 29 trillion), while full-year revenue reached $67.4 billion (around KRW 100 trillion). The company reported that its backlog of remaining performance obligations swelled to $638 billion (about KRW 970 trillion) on the strength of large AI contracts. Of that total, $75 billion (roughly KRW 114 trillion) consists of customer prepayments or customer-provided GPUs, which helps offset Oracle’s own data-center investments.

In fiscal 2026, Oracle raised $43 billion (about KRW 65 trillion) through bond issuances and $5 billion (around KRW 8 trillion) via equity, and plans to secure an additional $40 billion (approximately KRW 61 trillion) in a mix of debt and equity in fiscal 2027. The company set a fiscal-2027 revenue target of $90 billion and raised its non-GAAP earnings-per-share guidance. It also designated July 24 as the record date and will pay a quarterly dividend of $0.50 per share on July 10.

Meanwhile, Oracle has been conducting a global restructuring over recent months, with reports indicating it will complete approximately 30,000 job cuts worldwide by mid-June. In March, a securities class-action suit was filed on behalf of investors who purchased Oracle shares in 2025, leading to ongoing legal disputes over the adequacy of the company’s disclosures and statements.

Headquartered in Austin, Texas, Oracle is a global enterprise software and cloud company that has transitioned its business from traditional databases and on-premises software to public-cloud and AI infrastructure services. As leading U.S. tech firms compete to expand high-performance GPU-based AI cloud offerings, Oracle is battling AWS and Microsoft Azure for market share with a low-cost, high-performance cloud infrastructure optimized for AI training and inference.