Last Update 29 Nov 25
Fair value Decreased 0.51%ORCL: Accelerating AI Demand Will Drive Large-Scale Data Center Expansion Ahead
Oracle's analyst price target has edged down modestly to $342 from $344, as analysts cite ongoing questions around cloud contract quality, margin pressures from heavy AI investments, and evolving customer demand trends as factors moderating their outlook.
Analyst Commentary
Analysts remain divided in their outlook for Oracle, with perspectives shaped by the company's recent cloud momentum, ambitious AI initiatives, and evolving leadership structure. Below are key points of consideration from both bullish and bearish viewpoints:
Bullish Takeaways- Bullish analysts highlight Oracle's rapid growth in cloud-related backlog and remaining performance obligations, citing multi-billion-dollar deals and a backlog surge of several hundred percent over the past year.
- Several price target increases reflect confidence in Oracle's ability to scale AI infrastructure offerings and capitalize on accelerated enterprise demand. Long-term revenue and EPS growth forecasts are seen as achievable in bullish scenarios.
- Management's clarity around execution plans and ambitious financial targets, including revenue and margin goals for fiscal 2030, are viewed as providing strong support to the company’s valuation case.
- Oracle’s comprehensive suite of AI-driven updates and full-stack approach position the company as a major beneficiary of growing enterprise AI adoption and potentially warrant a premium valuation.
- Bearish analysts express concern about the quality of certain cloud contracts, including the concentration of backlog growth in a small number of high-profile deals. Some suggest these deals may be less durable or recurring than headline numbers indicate.
- Heavy investments in data centers, new technologies, and leadership transitions are expected to pressure operating margins and free cash flow growth over the next few years.
- There are ongoing questions about Oracle's ability to quickly deploy necessary infrastructure to meet ambitious growth targets, particularly given industry-wide constraints on land, power, and GPUs.
- Some caution that Oracle’s recent return to a co-CEO structure could complicate execution and leadership clarity at a time of significant transformation for the company.
What's in the News
- The U.S. Department of Energy is accelerating its approach to AI supercomputing by partnering with Oracle, Nvidia, and AMD. Oracle is contributing resources to bring advanced AI systems to national laboratories (New York Times).
- Oracle stock has decreased by $374 billion in market value since announcing a $300 billion deal with OpenAI, raising questions about the impact and durability of recent cloud contracts (Financial Times).
- The U.S. government and Oracle are expanding public-private partnerships. Oracle is helping deliver the nation's largest AI supercomputer to the Department of Energy and is providing cloud resources for advanced scientific research (Wall Street Journal).
- Lawmakers, including Senator Bernie Sanders, are pressing the White House about rising electric bills. These increases are attributed in part to the energy demands of large-scale AI data centers led by companies such as Oracle, Meta, and Alphabet (Wall Street Journal).
- Nearly 20 banks are providing an $18 billion project finance loan to fund a major data center campus linked to Oracle. This reflects ongoing investment in infrastructure for the AI boom (Bloomberg).
Valuation Changes
- Consensus Analyst Price Target has decreased slightly from $344.04 to $342.28, reflecting a cautious adjustment.
- Discount Rate has risen marginally from 8.91% to 8.96%, which suggests a modestly higher perceived risk or required return.
- Revenue Growth expectations have increased slightly from 32.83% to 33.22%, indicating improved growth assumptions.
- Net Profit Margin has declined modestly from 20.00% to 19.83%, signaling minor pressure on profitability projections.
- Future P/E has edged down from 47.88x to 47.67x, which implies a slight adjustment in forward valuation multiples.
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.
- 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.
How well do narratives help inform your perspective?
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.




