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Microequities Asset Management Group (MAM) Fair Value & Analysis

Financial Services · AU · Market cap A$53.6M

PriceA$0.3950
Fair ValueA$0.2500
Upside-36.7%
Quality95/100
Evidence: High Range A$0.1900 – A$0.3100

Fair value as of: Jun 26, 2026

Analysis

Microequities Asset Management Group (MAM) currently trades at A$0.3950, while our model-based Fair Value estimate is A$0.2500 — implying the stock looks roughly 36.7% overvalued today. We read business quality at 95/100 (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

Microequities Asset Management Group Limited provides investment fund management in Australia. It offers deep value, global value microcap, pure microcap, high income microcap, private to beyond the IPO, value earth, and value income funds. The company was formerly known as Microequities Ltd. and changed its name to Microequities Asset Management Group Limited in March 2018. Microequities Asset Management Group Limited was incorporated in 2004 and is based in Sydney, Australia.

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Frequently asked questions

Is Microequities Asset Management Group (MAM) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.2500 versus a price of A$0.3950 — about −37% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MAM?
Our 21-model fair value for Microequities Asset Management Group is A$0.2500 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.3950.
What is the quality score of MAM?
Microequities Asset Management Group has a Quality Score of 95/100, 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.