MotorCycle Holdings (MTO) Fair Value & Analysis
Consumer Cyclical · AU · Market cap A$168M
Analysis
MotorCycle Holdings (MTO) currently trades at A$2.54, while our model-based Fair Value estimate is A$5.37 — implying the stock looks roughly 111.4% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
MotorCycle Holdings Limited owns and operates motorcycle dealerships in Australia. It operates through Motorcycle Retailing and Motorcycle Accessories Wholesaling segments. The company is involved in the sale of new motorcycles, used motorcycles, accessories and parts, and mechanical protection plan contracts; wholesaling and retailing of motorcycle accessories. It also distributes motorcycles, ATVs, scooters, including electric models, as well as motorcycle and bicycle parts, accessories, and apparel. In addition, the company engages in financing and insurance services for motorcycle purchases through third-party sources, as well as servicing and repair of motorcycles. MotorCycle Holdings Limited serves motorcyclists who are primarily leisure riders, recreational users, commuters, farmers, and adventure sports related users through various retail and wholesale outlets in Queensland, New South Wales, Victoria, the Australian Capital Territory in Australia, as well as in New Zealand.…
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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.