Kelsian Group (KLS) Fair Value & Analysis
Industrials · AU · Market cap A$1.1B
Analysis
Kelsian Group (KLS) currently trades at A$4.34, while our model-based Fair Value estimate is A$6.96 — implying the stock looks roughly 60.4% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Kelsian Group Limited provides land and marine transport, and tourism services. It operates through four segments: Marine and Tourism, Australian Bus, International Bus, and Corporate. The Marine and Tourism segment operates vehicle and passenger ferry services, barging, coach tours and package holidays, lunch, dinner, charter cruises, and accommodation facilities. The Australian Bus segment operates metropolitan public bus services on behalf of governments in Sydney, Melbourne, Perth, Adelaide, and Stradbroke Island; regional and remote bus services; and charter bus services in the Northern Territory. The International Bus segment operates metropolitan public bus services on behalf of governments in the channels islands, the United Kingdom, and Singapore; and charter motorcoaches for corporates, local and federal government, and education sectors in the United States. The Corporate segment provides finance, sales and marketing, information and technology, business development, flee…
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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.