ORIX Corporation (ORXCF) Fair Value & Analysis
Financial Services · US · Market cap $41.6B
Analysis
ORIX Corporation (ORXCF) currently trades at $36.37, while our model-based Fair Value estimate is $35.69 — implying the stock looks roughly 1.9% overvalued today. We read business quality at 96/100 (high quality), in the Financial Services 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
ORIX Corporation provides financial services in Japan, the United States, Asia, Europe, and Australasia. The company's Corporate Financial Services and Maintenance Leasing segment is involved in the finance and fee; and leasing and rental of automobiles, electronic measuring instruments, and ICT-related equipment businesses. Its Real Estate segment develops, rents, and manages real estate properties; operates facilities; provides real estate asset management services. The company's PE Investment and Concession segment engages in the private equity investment and concession businesses. Its Environment and Energy segment provides ESCO, and recycling and waste management services; retails electric power; sells solar panels; and generates renewable energy power. The company's Insurance segment sells life insurance products through agents, banks, and other financial institutions, as well as face-to-face and online. Its Banking and Credit segment provides banking and consumer finance serv…
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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.