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Wall Street Is Wrong About Oracle Stock. Here's Why.

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Wall Street Is Wrong About Oracle Stock. Here's Why.

Oracle’s cloud revenue rose 44% year over year to $8.9 billion last quarter, while remaining performance obligations surged to $553 billion, up 325%, underscoring strong AI infrastructure demand. Offsetting that optimism, the company’s debt has climbed to $149 billion, it issued $43 billion in bonds in fiscal 2026, and it plans another ~$25 billion in equity raises, leaving a trailing free cash flow deficit of $24.7 billion. Credit default swaps on Oracle debt have also jumped to their highest level since 2008, signaling elevated market concern despite bullish analyst targets.

Analysis

The market is treating ORCL like a pure AI winner, but the more important signal is that its growth is increasingly financed by balance-sheet expansion rather than self-funding operating leverage. That matters because infrastructure businesses with long-dated contracts look safe until credit conditions tighten; then the equity effectively becomes a leveraged option on execution, utilization, and refinancing access. The CDS move suggests credit is beginning to price the possibility that AI capex may outrun near-term cash generation longer than the market has patience for. Second-order, Oracle’s capital intensity should pressure the rest of the AI stack. If ORCL is forced to defend growth with debt and equity, suppliers and competitors with cleaner funding profiles—especially hyperscalers—gain strategic optionality: they can sustain a price war, outspend selectively, and poach customers worried about counterparty concentration. For semis, that is a mixed read: near-term demand is supported, but the marginal buyer becomes more balance-sheet sensitive, which raises the odds of capex pauses if financing spreads widen. The key catalyst window is the next 1-3 quarters, not years. Any evidence of slower RPO conversion, margin compression, or another large debt/equity financing could trigger a re-rating fast because the stock is still priced on a narrative multiple rather than a normalized cash-yield framework. Conversely, if management shows that booked demand is translating into disciplined utilization and cash flow inflects before funding costs rise further, the short case breaks quickly. Consensus seems to be missing that AI infrastructure is not automatically a moat if it requires constant external capital to maintain. The bullish case assumes the contract backlog de-risks the story, but backlog only helps if the economics of delivery are acceptable; otherwise it is just a promise to spend more. That makes ORCL less a quality compounder and more a financing-sensitive event-driven name.