MyState Limited (MYS) Fair Value & Analysis
Financial Services · AU · Market cap A$743M
Analysis
MyState Limited (MYS) currently trades at A$4.73, while our model-based Fair Value estimate is A$2.71 — implying the stock looks roughly 42.7% 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: medium).
About the company
MyState Limited, through its subsidiaries, provides banking, trustee, equipment finance, and managed fund products and services in Australia. It operates in three segments: MyState Bank, Auswide Bank, and Wealth Management Division. The company offers savings accounts and fixed term deposits; home loans, personal, overdraft, line of credit, and commercial products; and insurance products. It also provides easing and commercial hire purchase; and wealth management services comprising managed fund investments, and portfolio administration and advisory services. In addition, the company offers banking services, including transactional and internet banking, insurance and other alliances, investments, personal and business lending, and business banking and agribusiness; and trustee services, such as estate planning, estate and trust administration, power of attorney, corporate and custodial trustee. The company was incorporated in 2008 and is based in Hobart, Australia.
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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.