MA Financial Group (MAF) Fair Value & Analysis
Financial Services · AU · Market cap A$1.2B
Analysis
MA Financial Group (MAF) currently trades at A$6.41, while our model-based Fair Value estimate is A$0.9000 — implying the stock looks roughly 86.0% 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
MA Financial Group Limited, together with its subsidiaries, provides various financial services in Australia. It operates through Asset Management, Lending & Technology, and Corporate Advisory & Equities segments. The company operates as an asset manager specializing in private credit, real estate, and private equity and venture capital; and manages traditional asset classes, including equities, bonds, and cash for wholesale, retail, and institutional investors. It also offers lending platforms for the provision of loan funding, real estate mortgages, and financial technology comprising mortgage aggregation services. In addition, the company provides financial advice for mergers and acquisitions and strategic advisory, equity and debt capital markets, capital structure advisory, and equities research and trading; and corporate advice, underwriting, and institutional stockbroking services, as well as specialised services in real estate, credit and restructuring, resources technology,…
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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.