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Bergbahnen Engelberg-Trübsee-Titlis AG (TIBN) Fair Value & Analysis

Consumer Cyclical · CH · Market cap CHF 169M

PriceCHF 49.90
Fair ValueCHF 43.62
Upside-12.6%
Quality95/100
Evidence: High Range CHF 35.63 – CHF 56.70

Fair value as of: Jun 24, 2026

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Analysis

Bergbahnen Engelberg-Trübsee-Titlis AG (TIBN) currently trades at CHF 49.90, while our model-based Fair Value estimate is CHF 43.62 — implying the stock looks roughly 12.6% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high).

About the company

Bergbahnen Engelberg-Trübsee-Titlis AG operates as a cableway company in Switzerland. It operates excursions, summer and winter adventures, hotels, restaurants and accommodation, and shops. The company also offers adventures, such as skiing, cliff walk, ice flyer, and glacier caves. Bergbahnen Engelberg-Trübsee-Titlis AG was founded in 1913 and is based in Engelberg, Switzerland.

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Frequently asked questions

Is Bergbahnen Engelberg-Trübsee-Titlis AG (TIBN) undervalued?
As of Jun 24, 2026, our model estimates a fair value of CHF 43.62 versus a price of CHF 49.90 — about −13% (overvalued). Model-based estimate, not financial advice.
What is the fair value of TIBN?
Our 21-model fair value for Bergbahnen Engelberg-Trübsee-Titlis AG is CHF 43.62 (as of Jun 24, 2026), built from audited fundamentals. The current price is CHF 49.90.
What is the quality score of TIBN?
Bergbahnen Engelberg-Trübsee-Titlis AG has a Quality Score of 95/100, 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.