Deutsche Bank Reiterates Oracle Buy: Strong AI Demand, Asset-Light Model Optimizes Returns

Overview

This report summarizes key points from a virtual meeting held by Deutsche Bank on June 12, 2026, with Ken Bond, Senior Vice President of Investor Relations at Oracle. While no incremental information was disclosed, Deutsche Bank reaffirmed its positive outlook on Oracle, believing the company is well-positioned amidst significant cloud and AI opportunities. The report focuses on analyzing the demand environment, database business progress, SaaS strategy, quality of Remaining Performance Obligations (RPO), and margin outlook, maintaining a 'Buy' rating and $300 target price for Oracle.

Core views

Regarding demand and pricing environment, AI infrastructure demand far exceeds the supply capability of any vendor in the near term, creating a very strong seller's market. Oracle is committed to capturing demand beyond its fair share while maintaining an investment-grade credit rating and financial comfort. Current market dynamics allow Oracle to secure more prepayments and 'Bring Your Own Hardware' (BYO-HW) transactions, which require almost no net capital expenditure financing from Oracle and do not significantly reduce margins. Management emphasized that the company focuses on building long-term relationships with customers rather than shortsightedly pursuing short-term pricing leverage maximization. Database business, multi-cloud database momentum is very strong, with revenue and order growth rates reflecting this last quarter, although absolute amounts are still small but beginning to scale. Global coverage of all three major cloud service provider (CSP) partners was achieved past one quarter, which removes critical constraints for enterprise central client groups that typically require multi-region availability and redundancy. Coupled with customer desire to utilize AI to process high-value proprietary data stored in local Oracle databases, the company is confident about future growth in cloud migration activities and acceleration of cloud database revenue. SaaS and RPO, management expects SaaS business to maintain healthy trends, with deferred revenue/orders having led revenue growth over recent quarters. Oracle maintains its strategy of embedding AI directly into applications without additional costs, with most agents provided for free. Meanwhile, outcome-based pricing is now an additional option for customers, seen as a middle ground between pure seat licensing and pure consumption pricing, better aligning price with delivered value. Strong BYO-HW and prepayment type transactions contribute significantly to RPO and are viewed as net positives, as these structures build AI infrastructure opportunities in a lower risk, asset-light manner, helping retain underlying economic value and strong Return on Invested Capital (ROIC). Margins and EPS, the expectation for FY27 gross margin compression is attributed to pre-expansion costs associated with rapid capacity increase, specifically regarding power/lease/depreciation expenses incurred while equipping facilities, while revenue ramps up gradually over months per contract schedule. This dynamic partially explains the gap between revenue growth (+34% y/y) and EPS growth (+18% y/y), but this is more a timing issue. EPS growth is expected to rebound to higher levels from FY28 onwards (current guidance +32% y/y), and Free Cash Flow (FCF) will rebound strongly from FY29. As the base expands, the impact of incremental capacity on margins/EPS will diminish over time.

Analysis framework

Deutsche Bank adopts an analysis approach combining top-down and bottom-up. First, confirm the supply-demand imbalance seller's market pattern for AI infrastructure at the macro industry level to establish external certainty for Oracle's growth. Second, delve into the micro business level by dissecting pain points of 'multi-cloud databases' (multi-region redundancy) and evolution of 'SaaS' pricing strategies (outcome-based pricing) to verify product competitiveness and monetization potential. Finally, at the financial level, distinguish 'accounting timing' vs 'structural deterioration' to explain the logic behind short-term margin pressure and long-term cash flow rebound, emphasizing the optimization effect of BYO-HW model on ROIC and capital intensity, thereby supporting mid-term earnings forecasts and valuation judgments.

Methodology notes

• Company Fundamentals and Financial FrameworkOperating/Financial Leverage Analysis

  Timing mismatch between prepaid costs during capacity expansion phase and revenue recognition

  The report points out that during the initial phase of rapid capacity expansion, fixed costs (such as power, depreciation) occur before revenue, leading to short-term margin pressure; however, as revenue scales up over time, operating leverage effects will emerge, driving strong EPS and FCF rebound later. This is a key perspective for understanding short-term profit volatility in high-growth tech stocks.

• Competition and Strategy FrameworkMoat / competitive advantage

  Multi-cloud strategy alleviates enterprise customer lock-in concerns

  The report emphasizes that Oracle achieved global coverage across the three major cloud vendors, solving large enterprise clients' needs for reliance on a single cloud provider and multi-region redundancy. This interoperability constitutes a competitive barrier for Oracle in the enterprise market, promoting migration and growth of cloud databases.

• Company Fundamentals and Financial FrameworkROIC–WACC spread

  Asset-light model improves Return on Invested Capital (ROIC)

  By promoting 'Bring Your Own Hardware' (BYO-HW) and prepayment transactions, Oracle reduced its own capital expenditure intensity, thereby achieving higher ROIC for the same revenue size. This asset-lightening strategy not only reduces financial risk but also enhances shareholder value creation capability.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Oracle (ORCL.US)

  Direct beneficiary, as a core supplier of AI infrastructure and cloud databases, benefiting from strong pricing power and order growth driven by supply-demand imbalance.

  Strengths

  Strong enterprise customer relationships, multi-cloud strategy implementation, asset-light expansion model protecting ROIC, strategic foresight of AI embedded in SaaS.

  Weaknesses

  Short-term gross margin under pressure due to capacity expansion costs; cloud database absolute scale still small.

  Comparison

  Compared to traditional heavy asset expansion models, Oracle's BYO-HW model has advantages in capital efficiency and risk control.

  Risks

  Risk of capacity expansion execution; macroeconomic volatility affecting enterprise IT spend; intensifying competition eroding pricing power.

Key data

• Target Price300.00 USDMaintained unchanged, implying approx. 63% upside
• FY27 Revenue Growth Guidance+34% y/yCalculated at constant exchange rates
• FY27 EPS Growth Guidance+18% y/yAdjusted, impacted by short-term capacity costs
• FY28 EPS Growth Guidance+32% y/yExpected growth rebound
• Current Stock Price184.13 USDAs of June 12, 2026

Impact & implications

The report believes that Oracle successfully balanced high-speed growth with financial stability through innovative transaction structures (such as BYO-HW), which not only alleviated market concerns about high capex damaging returns but also demonstrated its execution capabilities in the AI wave. Short-term margin fluctuations are a matter of timing for strategic investments, not structural deterioration. With the release of economies of scale after FY28 and rebound in free cash flow, the company's valuation is expected to be further supported. For investors, attention should be paid to the scaling process of its cloud databases and acceptance of new SaaS pricing models.

Risks

• Capacity expansion speed below expectations or cost overruns
• Macroeconomic volatility causing enterprise client IT budget cuts
• Intensified competition in cloud database market eroding margins
• AI technology iteration speed faster than company's product R&D rhythm

What to watch

• Realization of EPS and FCF rebound from FY28 onwards
• Signs of acceleration in scaling of multi-cloud database revenue
• Customer acceptance and revenue contribution of outcome-based pricing model in SaaS business
• Changes in proportion of BYO-HW and prepayment transactions in new RPO