Last Update 09 Mar 26

Fair value Decreased 6.44%

ORCL: AI Data Center Buildout And Bond Financing Will Drive Upside

Our updated analyst price target for Oracle moves lower by about $17 to $255, as analysts trim valuation multiples and P/E assumptions while still highlighting AI driven growth in database, SaaS and infrastructure as key supports for the long term story.

Analyst Commentary

Street research around Oracle has shifted to lower price targets, but most firms still frame the stock as an AI beneficiary with a long runway in cloud infrastructure, databases and applications. For you as an investor, the message is less about a broken story and more about recalibrated expectations on valuation, margins and capital intensity.

Bullish Takeaways

Bullish analysts see Oracle as well positioned to gain share in databases, SaaS and infrastructure, helped by a vertically integrated stack that can support AI workloads and tied offerings across apps and cloud.
Several firms expect AI related demand to support accelerating growth in Oracle Cloud Infrastructure and SaaS, with some explicitly highlighting meaningful AI driven revenue contributions and strong partner pipelines.
Some research points to recent capital raising and bond issuance as providing funding flexibility for the AI build out, which could ease concerns about cash needs as data center and capacity investments ramp.
Goldman and others frame AI as a positive tailwind for software over the next decade and include Oracle among preferred software names, citing potential for share gains in infrastructure as a service as adoption grows.

Bearish Takeaways

Despite generally positive AI commentary, almost every firm has lowered its price target, reflecting trimmed valuation multiples and more conservative P/E assumptions as sentiment toward software has reset.
Bearish analysts highlight the risk that AI driven expansion will come with heavy upfront capital and operating costs, which could pressure margins even if cloud and AI revenue grows.
Some firms stress that Oracle's AI and cloud build out may require trust and patience, with concerns around significant cash burn and the time it may take for higher capital intensity to show clear financial benefits.
With the shares referenced as trading well below a prior peak in some research, there is an implied gap between long term AI potential and what investors are currently willing to pay, which could persist if execution or demand falls short of expectations.

What's in the News

Reports say Oracle plans to cut thousands of jobs across multiple divisions to address a cash crunch tied to heavy AI data center spending, with some roles targeted where internal demand may fall as AI tools are adopted (Bloomberg).
Oracle and OpenAI have reportedly ended plans to expand a joint AI data center project in Texas after financing talks and OpenAI's requirements shifted. Meta is now considering leasing the planned site from the developer (Bloomberg).
Bondholders have sued Oracle over losses they link to the company's AI efforts, following concerns that the market may have materially overestimated future AI related growth and after Oracle reported financial results that did not match some earlier expectations (Reuters, Howard G. Smith).
Reports indicate Oracle recently raised US$25b in a bond deal that attracted very strong demand from investors. The company has separately outlined plans to raise a further US$45b to US$50b in 2026 via a mix of debt and equity to fund additional cloud infrastructure capacity (Bloomberg, company statement).
President Trump is reported to be calling in executives from Oracle and other large tech firms to sign non binding pledges to cover the power costs of energy intensive data centers, as public scrutiny of data center energy and water use increases (Bloomberg).

Valuation Changes

Fair Value: updated lower from $272.89 to $255.31, a modest reduction in the modeled estimate.
Discount Rate: moved slightly higher from 9.25% to 9.34%, reflecting a small change in the assumed risk profile.
Revenue Growth: kept effectively unchanged at about 36.55%, with only a minimal adjustment in the model.
Net Profit Margin: revised higher from 21.86% to 22.48%, reflecting a slightly stronger earnings outlook in the model assumptions.
Future P/E: reduced from 32.38x to 29.53x, indicating a lower multiple being applied to expected earnings.

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Key Takeaways

Strong demand for AI workloads and unique AI-integrated offerings are driving accelerated cloud revenue growth and expanding high-value enterprise adoption.
Efficient cloud infrastructure deployment and ongoing customer migration boost revenue stability, backlog, and operating margin improvements.
Heavy dependence on sustained AI infrastructure demand, rising CapEx, and competition expose Oracle to significant revenue, margin, and long-term innovation risks.

Catalysts

About Oracle

Offers products and services that address enterprise information technology environments worldwide.What are the underlying business or industry changes driving this perspective?

Surging demand for AI workloads-both training and especially inferencing-has positioned Oracle as a key provider for major AI companies (e.g., OpenAI, Meta, xAI, NVIDIA), driving a 359% YoY increase in remaining performance obligations (RPO) and a robust acceleration in cloud infrastructure and database revenue. This supports expectations for sustained double-digit revenue growth over multiple years.
Oracle's unique ability to securely integrate private enterprise data with advanced large language models (LLMs) via its AI-enabled vector database and deep security features has created a differentiated, high-value cloud platform, fueling adoption among enterprise customers and underpinning higher average contract values and margin expansion.
Accelerated migration of existing database customers to Oracle cloud-especially through offerings like multi-cloud, dedicated regions, and Cloud@Customer-enhances revenue visibility and stability, with a significant multi-year backlog already booked and increasing lifetime value per customer.
Continued buildout of revenue-generating cloud infrastructure, combined with efficient, asset-light deployment, enables Oracle to rapidly convert RPO into revenue and operating income while leveraging growing scale to drive further operating margin improvements.
Integration of generative AI capabilities and automated application generators across Oracle's software stack is expected to accelerate customer digital transformation, allow for the launch of new AI-powered products, and enable premium pricing and more resilient net margins.

Oracle Future Earnings and Revenue Growth

Assumptions

How have these above catalysts been quantified?

Analysts are assuming Oracle's revenue will grow by 20.1% annually over the next 3 years.
Analysts assume that profit margins will increase from 21.7% today to 25.5% in 3 years time.
Analysts expect earnings to reach $25.3 billion (and earnings per share of $8.15) by about September 2028, up from $12.4 billion today. However, there is a considerable amount of disagreement amongst the analysts with the most bullish expecting $33.4 billion in earnings, and the most bearish expecting $18.4 billion.
In order for the above numbers to justify the analysts price target, the company would need to trade at a PE ratio of 37.7x on those 2028 earnings, down from 54.5x today. This future PE is greater than the current PE for the US Software industry at 36.2x.
Analysts expect the number of shares outstanding to grow by 1.37% per year for the next 3 years.
To value all of this in today's terms, we will use a discount rate of 8.87%, as per the Simply Wall St company report.

Oracle Future Earnings Per Share Growth

Risks

What could happen that would invalidate this narrative?

The extraordinary growth in RPO (remaining performance obligations) and forward revenue guidance are heavily reliant on continued massive AI infrastructure demand from a few high-profile customers; any reduction or delay in AI adoption or shifts in enterprise AI spending could leave the company highly exposed, risking revenue and earnings growth shortfalls.
Oracle's unprecedented multi-year CapEx ramp (forecasted up to $35B/year) creates sustained pressure on free cash flow (which is currently negative), and any misstep in scaling or overestimation of demand could result in underutilized assets, eroded margins, and reduced earnings.
The long-term risk of commoditization in AI training and inferencing workloads remains present, as competitive cloud hyperscalers (AWS, Azure, Google Cloud) could erode Oracle's pricing power and market share, pressuring margins and associated profits as the technology matures.
Oracle's transformation depends on large, enterprise-wide AI and database migration projects; entrenched licensing/perception of complexity, rising preference for open source or cloud-native solutions, and regulatory headwinds or antitrust scrutiny could slow new customer acquisition, limit upsell/cross-sell, and impact long-term revenue.
The narrative focuses on Oracle's proprietary leadership in enterprise AI/cloud but does not address the potential talent attraction and retention challenge in high-demand AI/cloud specialties; underinvestment or inability to compete with more agile or culturally attractive rivals could hinder Oracle's innovation pipeline, risking future revenue and long-term valuation multiples.

Valuation

How have all the factors above been brought together to estimate a fair value?

The analysts have a consensus price target of $253.129 for Oracle based on their expectations of its future earnings growth, profit margins and other risk factors. However, there is a degree of disagreement amongst analysts, with the most bullish reporting a price target of $325.0, and the most bearish reporting a price target of just $183.1.
In order for you to agree with the analyst's consensus, you'd need to believe that by 2028, revenues will be $99.5 billion, earnings will come to $25.3 billion, and it would be trading on a PE ratio of 37.7x, assuming you use a discount rate of 8.9%.
Given the current share price of $241.51, the analyst price target of $253.13 is 4.6% higher. The relatively low difference between the current share price and the analyst consensus price target indicates that they believe on average, the company is fairly priced.
We always encourage you to reach your own conclusions though. So sense check these analyst numbers against your own assumptions and expectations based on your understanding of the business and what you believe is probable.

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Disclaimer

AnalystConsensusTarget is a tool utilizing a Large Language Model (LLM) that ingests data on consensus price targets, forecasted revenue and earnings figures, as well as the transcripts of earnings calls to produce qualitative analysis. The narratives produced by AnalystConsensusTarget are general in nature and are based solely on analyst data and publicly-available material published by the respective companies. These scenarios are not indicative of the company's future performance and are exploratory in nature. Simply Wall St has no position in the company(s) mentioned. Simply Wall St may provide the securities issuer or related entities with website advertising services for a fee, on an arm's length basis. These relationships have no impact on the way we conduct our business, the content we host, or how our content is served to users. The price targets and estimates used are consensus data, and do not constitute a recommendation to buy or sell any stock, and they do not take account of your objectives, or your financial situation. Note that AnalystConsensusTarget's analysis may not factor in the latest price-sensitive company announcements or qualitative material.

ORCL: Accelerating AI Cloud Demand Will Drive Upside Through Major Multi-Year Contracts