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Oracle Corporation (OCLCF) Fair Value & Analysis

Technology · US · Market cap $7.1B

Price$59.90
Fair Value$54.29
Upside-9.4%
Quality95/100
Evidence: High Range $37.27 – $72.48

Analysis

Oracle Corporation (OCLCF) currently trades at $59.90, while our model-based Fair Value estimate is $54.29 — implying the stock looks roughly 9.4% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Oracle Corporation Japan provides software, hardware, and cloud products and solutions in Japan. It operates in three segments: Cloud & License, Hardware Systems, and Services. The company offers cloud infrastructure, artificial intelligence and machine learning, analysis, payment and cost management, compute, database and developer services, distributed cloud and multicloud, governance and management, identity management and security, integration, migration and disaster recovery, network and connectivity, observability and management, and storage, as well as license and technical support; and software licenses for application software, such as database management, various middleware, enterprise resource planning, supply chain and manufacturing, human resource management, and customer experience, as well as fusion data intelligence platform, NetSuite, and Oracle Marketplace. It also provides hardware systems products, which include servers, storage, engineered systems, network equip…

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How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.