Selangor Dredging Berhad, an investment holding company, (2224) Fair Value & Analysis
Real Estate · MY · Market cap 200M MYR
Fair value as of: Jun 26, 2026
Analysis
Selangor Dredging Berhad, an investment holding company, (2224) currently trades at 0.4550 MYR, while our model-based Fair Value estimate is 1.14 MYR — implying the stock looks roughly 150.5% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Selangor Dredging Berhad, an investment holding company, engages in the property development business in Malaysia and Singapore. It operates through Property Investment, Hotel Operations, Investment Holding, Property Development, and Others segments. The company is involved in the letting of commercial properties; operation of hotels and related services; and provision of property management and support services. It also engages in trading, installation, and franchising of energy efficient products; and operation of boutique urban resort hotel under the Hotel Maya Kuala Lumpur name. Selangor Dredging Berhad was incorporated in 1962 and is headquartered in Kuala Lumpur, Malaysia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Selangor Dredging Berhad, an investment holding company, (2224) undervalued?
What is the fair value of 2224?
What is the quality score of 2224?
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.