Ideal Capital Berhad, an investment holding company, (9687) Fair Value & Analysis
Real Estate · MY · Market cap 2.1B MYR
Fair value as of: Jun 25, 2026
Analysis
Ideal Capital Berhad, an investment holding company, (9687) currently trades at 3.72 MYR, while our model-based Fair Value estimate is 6.09 MYR — implying the stock looks roughly 63.7% undervalued today. We read business quality at 88/100 (high quality), in the Real Estate 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: medium) — always confirm before acting.
About the company
Ideal Capital Berhad, an investment holding company, engages in the property development business in Malaysia. It operates through three segments: Property Development; Trading; and Project Investment and Project Management. The company engages in the trading of heavy machinery and spare parts, and disinfectant products; property investment and management; and asset management activities. It also provides energy management services; manufactures and trades in sterilisation and sanitisation, and pharmaceutical products; develops industrial parks; and trades in industrial land and building materials, as well as engages in the rental business. The company was formerly known as Ideal United Bintang International Berhad and changed its name to Ideal Capital Berhad in June 2022. The company was incorporated in 1979 and is based in Bayan Lepas, Malaysia. Ideal Capital Berhad is a subsidiary of ICT Innotech Sdn. Bhd.
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Frequently asked questions
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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.