Oracle Stock Plunges 24%: AI Bubble Fears vs. $553B Backlog

Oracle's stock has tumbled more than 24% so far in 2026, a sharp reversal for a company deeply investing in artificial intelligence. The decline stems from investor anxiety over the company's aggressive plans to build out AI infrastructure, which is backed by plans to raise up to $50 billion in debt and equity.

This massive capital raise has sparked fears of a ballooning debt load and the potential for negative free cash flow in the coming years. Investors are questioning whether Oracle, traditionally an enterprise software giant, can successfully execute at the scale required and turn these enormous investments into profitable, long-term cash flows.

Despite the stock price pressure, Oracle's underlying business metrics tell a different story. The company exited its last quarter with a staggering $553 billion in remaining performance obligations (RPO), which is a measure of its contracted backlog. This figure is up 325% from the previous year, indicating unprecedented demand.

Management emphasizes that this AI capacity build-out is not speculative. They are scaling primarily to meet this already-contracted demand, with some projects even receiving partner or customer funding to reduce balance sheet risk. The core financial performance remains robust, with total revenue up 22% and cloud revenue soaring 44% year-over-year in the last quarter.

This situation matters because it pits near-term financial risk against a potentially transformative long-term opportunity. Oracle is attempting a dramatic pivot from a legacy software provider to a full-stack AI infrastructure player, a move that could redefine its future but carries significant execution risk.

The stock's valuation has become more attractive, trading at 18.3 times forward earnings, which is reasonable for a company with its growth profile. If Oracle can successfully convert its massive $553 billion backlog into revenue, the current stock price could look like a bargain in hindsight.

Oracle's financials reveal the power of the AI 'halo effect.' Its AI infrastructure business already boasts margins above 30%, and the surge in demand is pulling through its higher-margin database and application services. This interconnected growth improves long-term revenue visibility and profitability potential.