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Tay Ninh Cable Car Tour Company (TCT) Fair Value & Analysis

Consumer Cyclical · VN · Market cap 245B VND

Price18,850 VND
Fair Value15,830 VND
Upside-16.0%
Quality95/100
Evidence: High Range 12,223 VND – 19,437 VND

Fair value as of: Jun 24, 2026

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Analysis

Tay Ninh Cable Car Tour Company (TCT) currently trades at 18,850 VND, while our model-based Fair Value estimate is 15,830 VND — implying the stock looks roughly 16.0% 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

Tay Ninh Cable Car Tour Company engages in transporting tourists, goods, and supplies by cable car in Vietnam. It provides slides and other services. The company was founded in 1998 and is headquartered in Tây Ninh, Vietnam.

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Frequently asked questions

Is Tay Ninh Cable Car Tour Company (TCT) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 15,830 VND versus a price of 18,850 VND — about −16% (overvalued). Model-based estimate, not financial advice.
What is the fair value of TCT?
Our 21-model fair value for Tay Ninh Cable Car Tour Company is 15,830 VND (as of Jun 24, 2026), built from audited fundamentals. The current price is 18,850 VND.
What is the quality score of TCT?
Tay Ninh Cable Car Tour Company 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.