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‘Key AI enabler’: BofA upgrades Oracle to Buy after exceptional Q1 print

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‘Key AI enabler’: BofA upgrades Oracle to Buy after exceptional Q1 print

Bank of America upgraded Oracle to Buy with a $368 price target, citing the company's strong first-quarter performance and an exceptional 230% quarter-on-quarter surge in remaining performance obligations (RPOs), which propelled shares over 31% premarket. This positions Oracle as a key AI infrastructure enabler, attracting marquee clients like OpenAI and NVIDIA, despite ongoing debates regarding AI workload profitability and rising capital expenditures projected to reach $35 billion by FY26. BofA, shifting its valuation methodology, forecasts significant revenue growth and a strengthening competitive moat as Oracle leverages its cloud and database offerings to capture AI compute share.

Analysis

Bank of America's upgrade of Oracle to 'Buy' with a raised price objective of $368 is predicated on an exceptional 230% quarter-on-quarter surge in the company's remaining performance obligations (RPOs), which triggered a more than 31% premarket share price increase. This dramatic growth in backlog solidifies Oracle's emerging role as a key enabler in artificial intelligence infrastructure, a view supported by BofA's forecast of a 51% four-year CAGR for Oracle Cloud Infrastructure (OCI) revenues. The company's credibility is bolstered by a growing roster of marquee AI clients, including OpenAI, xAI, Meta, and NVIDIA, which validates its strategy and market traction. However, this aggressive push into AI necessitates a significant increase in capital expenditures, projected to reach $35 billion by fiscal 2026. While the profitability of these AI workloads and the ultimate return on this investment remain a key debate, BofA anticipates a 'solid low 50s topline return' by fiscal 2027. Reflecting this accelerated growth outlook, the bank has shifted its valuation methodology to a premium 12.4x EV/Sales multiple on calendar year 2027 estimates, arguing that Oracle's competitive moat is strengthening as it integrates its AI infrastructure with its established database and applications portfolio.

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