The Stock Market Is Underestimating the Massive Growth Potential of This Artificial Intelligence (AI) Giant That Could Easily Become a $1 Trillion Company

Oracle reported fiscal Q4 revenue of $19.2 billion, up 21% year over year, and EPS of $2.11 versus $1.97 expected, but the stock fell more than 8% on concerns over heavy AI data center capex. The company’s remaining performance obligation surged to $638 billion from $138 billion a year earlier, and management expects to convert $293 billion of backlog into revenue over the next three years. The article argues this spending will drive revenue from $67.4 billion in fiscal 2026 to a projected $90 billion in fiscal 2027 and could support a path to a $1 trillion market cap.

Analysis

Oracle’s setup is less about near-term earnings and more about financing a demand shock ahead of competitors. In AI infrastructure, the bottleneck is increasingly power, land, and deliverable capacity rather than model demand, so the company that can prebuild shells and sign long-duration commitments first tends to capture the most strategic pricing power. The market is treating the capex spike like dilution, but the more relevant lens is whether the funded backlog converts into an annuity stream before alternative suppliers catch up.

The second-order winner is not just Oracle; it is the broader AI hardware and utility stack that sits behind each incremental megawatt. Continued buildout should support NVDA through sustained accelerator demand, but the tighter near-term beneficiaries are electrical equipment, cooling, networking, and grid-interconnect vendors that are not called out here. Conversely, the risk is that the capex cycle becomes too front-loaded and forces margin compression before revenue catches up, which can create 2-4 quarters of narrative-driven de-rating even if the multi-year thesis remains intact.

The consensus is probably underestimating the conversion lag rather than the terminal demand. If Oracle’s backlog monetization slips even modestly, the stock can retrace hard because investors are implicitly pricing a clean ramp in 2027-2029; if execution stays tight, the stock re-rates through estimate revisions, not just multiple expansion. The main swing factors over the next 3-9 months are financing terms, capex discipline, and whether customer prepayments remain stable enough to de-risk the balance sheet while revenue recognition scales.

Key Decisions for Investors

• Buy ORCL on any post-earnings weakness for a 6-12 month horizon; target a 15-25% rebound if backlog conversion stays on track, but size modestly because execution risk can keep the stock range-bound for multiple quarters.
• Pair trade: long ORCL / short a high-multiple software name with weaker infrastructure exposure for 3-6 months; the trade works if the market rotates toward tangible AI capacity and away from pure-duration software narratives.
• Add NVDA on ORCL pullbacks rather than strength; Oracle’s buildout supports sustained accelerator demand, but use a 3-6 month horizon and keep stops tight because NVDA is more valuation-sensitive than the underlying spend trend.
• Avoid chasing ORCL immediately after capex headlines; wait for financing clarity or a second consecutive quarter of backlog-to-revenue conversion before adding aggressively, since the first sign of slippage would likely drive a sharp drawdown.
• Watch for confirmation in utilities/electrical-infrastructure names over the next 1-2 quarters; if Oracle’s buildout broadens into power-grid and cooling constraints, those suppliers may offer cleaner upside with less balance-sheet risk.