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ClearView Wealth Limited (CVWLF) Fair Value & Analysis

Financial Services · US · Market cap $232M

Price$0.3689
Fair Value$0.1800
Upside-51.2%
Quality89/100
Evidence: Medium Range $0.1300 – $0.2200

Fair value as of: Jun 26, 2026

Analysis

ClearView Wealth Limited (CVWLF) currently trades at $0.3689, while our model-based Fair Value estimate is $0.1800 — implying the stock looks roughly 51.2% overvalued today. We read business quality at 89/100 (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: medium).

About the company

ClearView Wealth Limited engages in the life insurance business in Australia. It offers life insurance products, including term life, trauma and critical illness benefits, child and accident covers, accidental death income protection and business expense covers, and total permanent disability. The company also provides administration services. ClearView Wealth Limited was founded in 1976 and is headquartered in Sydney, Australia.

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Frequently asked questions

Is ClearView Wealth Limited (CVWLF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.1800 versus a price of $0.3689 — about −51% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CVWLF?
Our 21-model fair value for ClearView Wealth Limited is $0.1800 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.3689.
What is the quality score of CVWLF?
ClearView Wealth Limited has a Quality Score of 89/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.