Stephens upgrades Oracle, lifts target to $213 on November 2

By Amara Osei

Stephens raised its Oracle price target to $213 from $185 on November 2, upgrading the NYSE-listed company to Overweight from Equal Weight following its investor day. The call reflects confidence in Oracle’s capital-spending and financing path, although the stock has fallen about half from its year-ago high and investors still question how Oracle funds its AI buildout.

What did Oracle disclose about funding the buildout?

At its investor day, Oracle presented two central financing markers. “Free cash flow should turn positive in the second half of fiscal 2028,” management said. The company also capped new financing at $20 billion through fiscal 2030, with an even split between debt and equity.

The disclosures gave Stephens more confidence that Oracle can fund its data-center expansion without leaning on external capital as heavily as some analysts had feared. His $213 target remains above the current share price, but it is below the average target among analysts covering Oracle, leaving room for higher targets on the Street.

How much of the AI buildout will Oracle fund itself?

Oracle sells databases and business software. It has increasingly become a provider of rented AI computing capacity for customers building large models. That shift has made the data-center buildout, and the method of paying for it, central to the investment case.

Stephens bases the lower capital estimate on three funding channels:

• Vendor financing forms part of the funding mix.
• Customers purchase their own computing hardware.
• Customer prepayments provide another funding source.

Together, those sources now cover much of the buildout. “Oracle needs only about half the new money analysts once expected,” Stephens argues. If that funding mix holds, Oracle’s own capital requirement could be lower than the market previously assumed, reducing the amount of external financing required for the AI infrastructure program.

For investors, the rating change separates funding capacity from revenue concentration. First, can Oracle finance new AI capacity with less capital than expected? Stephens says yes, because vendor financing, customer-owned hardware and prepayments absorb much of the cost. Second, will that capacity produce collectible revenue? OpenAI concentration makes the second question harder to answer.

Why does OpenAI concentration offset the financing progress?

Customer concentration remains the principal counterweight. S&P has said OpenAI makes up about half of Oracle’s $664 billion backlog. A large share of the revenue investors expect therefore depends on OpenAI paying its bills, while Oracle’s AI-related growth case has become closely tied to one large customer.

If OpenAI changes its spending plans or faces doubts about its ability to pay, investors could reassess the backlog and the revenue trajectory built on it. The improved financing framework does not remove that risk; it shifts the focus from how Oracle will fund data centers to whether expected revenue converts into cash.

What will the December results show?

Oracle reports quarterly results in December. The results will update investors on the data-center buildout, the financing plan and the $664 billion backlog. December therefore supplies the next checkpoint for the three assumptions behind Stephens’ call: capital needs, funding sources and collectible revenue.

Stephens’ $213 target rests on the view that vendor financing, customer hardware and prepayments can contain Oracle’s direct capital needs. The counterargument is more concentrated: about half of the backlog depends on OpenAI, making that customer’s payment capacity central to the revenue case.

Stephens sees a more manageable funding path; OpenAI’s ability to pay remains the central test.