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Turbo-Mech Berhad, an investment holding company, (5167) Fair Value & Analysis

Industrials · MY · Market cap 63.7M MYR

Price0.4900 MYR
Fair Value0.7900 MYR
Upside+61.2%
Quality95/100
Evidence: High Range 0.7100 MYR – 0.8600 MYR

Fair value as of: Jun 24, 2026

Analysis

Turbo-Mech Berhad, an investment holding company, (5167) currently trades at 0.4900 MYR, while our model-based Fair Value estimate is 0.7900 MYR — implying the stock looks roughly 61.2% 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

Turbo-Mech Berhad, an investment holding company, engages in sale of rotating equipment and spare parts in Singapore, Indonesia, the Philippines, Thailand, and internationally. The company also involved in the involved in the provision of maintenance and overhaul services. Turbo-Mech Berhad was incorporated in 2009 and is headquartered in Petaling Jaya, Malaysia.

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Frequently asked questions

Is Turbo-Mech Berhad, an investment holding company, (5167) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 0.7900 MYR versus a price of 0.4900 MYR — about +61% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 5167?
Our 21-model fair value for Turbo-Mech Berhad, an investment holding company, is 0.7900 MYR (as of Jun 24, 2026), built from audited fundamentals. The current price is 0.4900 MYR.
What is the quality score of 5167?
Turbo-Mech Berhad, an investment holding 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.