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Web Travel Group (WEBJF) Fair Value & Analysis

Consumer Cyclical · US · Market cap $337M

Price$0.9300
Fair Value$1.49
Upside+60.2%
Quality97/100
Evidence: High Range $1.12 – $1.87

Fair value as of: Jun 25, 2026

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Analysis

Web Travel Group (WEBJF) currently trades at $0.9300, while our model-based Fair Value estimate is $1.49 — implying the stock looks roughly 60.2% undervalued today. We read business quality at 97/100 (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

Web Travel Group Limited provides online travel booking services in Australia, the United Arab Emirates, the United Kingdom, Spain, and internationally. It offers WebBeds, an online marketplace for the travel trade that sources hotel inventory from hotel and travel suppliers, connects, and aggregates that content in their platform and distributes it to a network of travel buyers who sell to the travelling public. The company was formerly known as Webjet Limited and changed its name to Web Travel Group Limited in September 2024. Web Travel Group Limited was incorporated in 1980 and is based in Melbourne, Australia.

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Frequently asked questions

Is Web Travel Group (WEBJF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $1.49 versus a price of $0.9300 — about +60% (undervalued). Model-based estimate, not financial advice.
What is the fair value of WEBJF?
Our 21-model fair value for Web Travel Group is $1.49 (as of Jun 25, 2026), built from audited fundamentals. The current price is $0.9300.
What is the quality score of WEBJF?
Web Travel Group has a Quality Score of 97/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.