AUSTIN, TEXAS For a few terrifying months, it looked like Oracle Corporation (NYSE: ORCL) had placed a losing bet. The stock cratered more than 56% from its September 2025 peak of $328, touching lows near $146 in early 2026. The narrative on the Street turned vicious: too much debt, too much spending, too much dependence on fickle AI hype
But in the last 72 hours, the pendulum has swung back with a force that has institutional investors scrambling to reposition. Following a decisive upgrade from Oppenheimer and a torrent of positive analyst commentary, the question floating across trading desks isn’t *whether* Oracle will survive its AI infrastructure gamble—it’s whether ORCL might actually be the best positioned stock in the entire technology sector for the next 24 months.
The Oppenheimer Pivot: “Valuation Too Attractive To Ignore”
The inflection point came on February 25, when Oppenheimer analyst Brian Schwartz did something that would have seemed reckless six months ago: he upgraded Oracle to “Outperform” with a $185 price target, implying roughly 25% upside from current levels.
Schwartz’s thesis wasn’t complicated, but it was contrarian. He argued that the market’s “CapEx panic,” the fear that tech companies are irresponsibly overbuilding AI data centers, had created a massive dislocation in Oracle’s valuation. The stock’s forward P/E multiple had collapsed from a lofty 40x in September to just 19x, a level that Schwartz argued “significantly under-discounts the company’s future earnings potential” .
“We see a favorable risk/reward after the stock’s multiples have been cut by more than half since September,” Schwartz wrote, adding that Oracle remains “broadly underowned by institutional investors”.
The $523 Billion Backstop
What gives the bulls confidence is a number that towers over virtually every other metric in enterprise software: $523 billion.
That’s Oracle’s Remaining Performance Obligations (RPO)—essentially, contracted future revenue that has already been signed but not yet recognized. For context, that backlog is larger than the market caps of all but a handful of S&P 500 companies. It represents binding commitments from the who’s who of the AI revolution: OpenAI, NVIDIA, Meta Platforms, AMD, TikTok, and xAI.
This isn’t speculative capacity being built on hope. It’s infrastructure that has already been pre-sold to customers who quite literally cannot train their next-generation models without it. Oracle’s secret sauce? A technical edge in RDMA (Remote Direct Memory Access) networking and parallel computing that makes its cloud infrastructure uniquely suited for the massive GPU clusters required to train large language models.
“Oracle’s decades-long experience in high-speed data processing gives it a structural advantage,” Deutsche Bank analyst Brad Zelnick noted in a recent report, arguing that the market has become “overly fixated on debt while ignoring operational momentum” .
The Financing Question: Solved?
The bear case against Oracle has always been simple: how does a company with negative free cash flow and $130 billion in debt fund a build-out that could require $414 billion in cumulative spending by 2030?
Oracle’s answer came earlier this month in the form of a $25 billion bond offering that, by any measure, was a triumph. The issuance reportedly drew a staggering $129 billion in orders at its peak, signaling that the credit markets have zero concerns about Oracle’s ability to service its obligations. This was followed by the announcement of a broader $45–50 billion funding plan for 2026, split roughly evenly between debt and equity, including a $20 billion at-the-market equity program.
Bernstein analysts recently poured cold water on the debt panic, noting that Oracle’s much-hyped $248 billion in data center lease commitments are spread over 15-to-19-year terms, with annual maximum exposure of just $130–165 billion that doesn’t peak until 2030. Even in a catastrophic scenario where AI demand evaporates entirely, Bernstein’s stress test suggests Oracle’s core database and SaaS business supports a valuation of $137 per share, providing an 85% downside cushion.
The “Show Me” Stock That’s Showing Up
To be clear, no one is calling this a layup. Oppenheimer admits their call “may be early,” and Schwartz himself labels Oracle a “show me stock” that needs to consistently prove its transition before sentiment fully turns.
But the early evidence is encouraging. Cloud infrastructure revenue surged 68% in the most recent quarter to $4.1 billion, with GPU capacity increasing 50% sequentially. Oracle now operates 147 live cloud regions, with 64 more in the pipeline, and added nearly 400 megawatts of capacity in a single quarter.
How It Stacks Up
Is Oracle the best stock in technology? That depends on your definition. If you want linear growth and predictable cash flow, Microsoft (46.7% operating margin) remains the gold standard. If you want consumer AI scale, Amazon’s AWS expansion and the quiet success of its Rufus AI shopping assistant (estimated to have already generated $10 billion in revenue) make a compelling case.
But if you want a high-upside story supported by a half-trillion-dollar backlog, a newly fortified balance sheet, and a valuation that has arguably overshot to the downside, Oracle is entering rare air.
“The combination of a massive backlog and a technical edge provides a formidable moat,” the Oppenheimer team concluded. With shares still more than 50% off their highs, the asymmetric bet is clear: Oracle has already priced in the worst-case scenario. Now it just has to build.
This article is for informational purposes only and does not constitute financial advice. The technology sector involves inherent risks, and readers should conduct their own research before making investment decisions.
