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Blue Sky Alternatives Access Fund Ltd (WMA) Fair Value & Analysis

Financial Services · AU · Market cap A$189M

PriceA$0.9800
Fair ValueA$0.5400
Upside-44.9%
Quality92/100
Evidence: Medium Range A$0.4000 – A$0.6700

Fair value as of: Jun 26, 2026

Analysis

Blue Sky Alternatives Access Fund Ltd (WMA) currently trades at A$0.9800, while our model-based Fair Value estimate is A$0.5400 — implying the stock looks roughly 44.9% overvalued today. We read business quality at 92/100 (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

Blue Sky Alternatives Access Fund Ltd specializes in investments in venture capital, private equity, private real estate including infrastructure, commodities, farmland, agricultural water entitlements, and real assets such as water rights.

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Frequently asked questions

Is Blue Sky Alternatives Access Fund Ltd (WMA) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.5400 versus a price of A$0.9800 — about −45% (overvalued). Model-based estimate, not financial advice.
What is the fair value of WMA?
Our 21-model fair value for Blue Sky Alternatives Access Fund Ltd is A$0.5400 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.9800.
What is the quality score of WMA?
Blue Sky Alternatives Access Fund Ltd has a Quality Score of 92/100, 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.