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Right Tunnelling Public Company (RT) Fair Value & Analysis

Industrials · TH · Market cap 443M THB

Price0.3000 THB
Fair Value0.3800 THB
Upside+26.7%
Quality95/100
Evidence: High Range 0.1200 THB – 0.3800 THB

Fair value as of: Jun 24, 2026

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Analysis

Right Tunnelling Public Company (RT) currently trades at 0.3000 THB, while our model-based Fair Value estimate is 0.3800 THB — implying the stock looks roughly 26.7% 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

Right Tunnelling Public Company Limited, together with its subsidiaries, engages in the provision of construction services, open and underground rock excavation, dam excavation, and other construction works in Thailand, Myanmar, the Lao People's Democratic Republic, and Cambodia. It is also involved in mineral exploration activities. The company was incorporated in 2000 and is based in Samut Prakan, Thailand.

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Frequently asked questions

Is Right Tunnelling Public Company (RT) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 0.3800 THB versus a price of 0.3000 THB — about +27% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RT?
Our 21-model fair value for Right Tunnelling Public Company is 0.3800 THB (as of Jun 24, 2026), built from audited fundamentals. The current price is 0.3000 THB.
What is the quality score of RT?
Right Tunnelling Public 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.