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03060 (03060) Fair Value & Analysis

Basic Materials · MY · Market cap 42.2M MYR

Price0.3200 MYR
Fair Value0.0600 MYR
Upside-81.3%
Quality91/100
Evidence: High Range 0.0500 MYR – 0.0800 MYR

Fair value as of: Jun 24, 2026

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Analysis

03060 (03060) currently trades at 0.3200 MYR, while our model-based Fair Value estimate is 0.0600 MYR — implying the stock looks roughly 81.3% overvalued today. We read business quality at 91/100 (high quality), in the Basic Materials 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

Hydropipes Industries Sdn. Bhd., an investment holding company, manufactures and sells mild steel pipes and fittings for the governments and private sectors in Malaysia. The company offers single and double flange bends, reducers, and tees series products. Hydropipes Industries Sdn. Bhd. was incorporated in 1991 and is based in Subang Jaya, Malaysia.

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Frequently asked questions

Is 03060 (03060) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 0.0600 MYR versus a price of 0.3200 MYR — about −81% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 03060?
Our 21-model fair value for 03060 is 0.0600 MYR (as of Jun 24, 2026), built from audited fundamentals. The current price is 0.3200 MYR.
What is the quality score of 03060?
03060 has a Quality Score of 91/100, 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.