Helloworld Travel Limited (HLO) Fair Value & Analysis
Consumer Cyclical · AU · Market cap A$226M
Fair value as of: Jun 25, 2026
Analysis
Helloworld Travel Limited (HLO) currently trades at A$1.48, while our model-based Fair Value estimate is A$3.05 — implying the stock looks roughly 106.1% 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: medium) — always confirm before acting.
About the company
Helloworld Travel Limited operates as a travel distribution company in Australia, New Zealand, and internationally. The company provides international and domestic travel products and services, as well as operates retail distribution networks of travel agents and coaches. It also operates retail travel brands, including Helloworld Travel"the Travel Professionals, Helloworld Business Travel, Magellan Travel, Express Travel Group, Alatus, Independent Travel Group, Select Travel Group, First Travel Group, Mobile Travel Agents, My Travel Group, The Travel Brokers, and iTalktravel and Cruise; and distributes travel products and solutions under the Viva Holidays, Sunlover Holidays, Territory Discoveries, Asia Escape Holidays, Ready Rooms, Ultimate Journeys, and GO Holidays names. In addition, the company provides Inbound and destination management services; air consolidation services under the AirTickets, Express Tickets, and SmartTickets brands; technological ticketing solutions to trave…
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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.