Oceania Healthcare Limited (OCA) Fair Value & Analysis
Healthcare · AU · Market cap A$437M
Fair value as of: Jun 24, 2026
Analysis
Oceania Healthcare Limited (OCA) currently trades at A$0.6100, while our model-based Fair Value estimate is A$0.9700 — implying the stock looks roughly 59.0% undervalued today. We read business quality at 97/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Oceania Healthcare Limited, together with its subsidiaries, owns and operates retirement villages and care centres in New Zealand. The company operates through Care Operations, Village Operations, and Others segments. It provides traditional care beds and care suites; independent living and rental properties; and rest home, hospital, and specialist dementia services. The company also offers accommodation, and care and related services to aged care residents, including meals and care packages to independent living residents; and accommodation and related services to independent residents in the retirement villages. In addition, it is involved in the provision of support services and training activities. The company was formerly known as Retirement Care (NZ) Limited and changed its name to Oceania Healthcare Limited in September 2014. Oceania Healthcare Limited was incorporated in 2005 and is based in Auckland, New Zealand.
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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.