Sime Darby Berhad, (SMEBF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $3.8B
Analysis
Sime Darby Berhad, (SMEBF) currently trades at $0.5600, while our model-based Fair Value estimate is $1.25 — implying the stock looks roughly 123.2% undervalued today. We read business quality at 86/100 (high quality), in the Consumer Cyclical 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
Sime Darby Berhad, together with its subsidiaries, provides automotive and industrial equipment in Malaysia, China, Australasia, and the Asia Pacific. It operates through Industrial, Motors, UMW, and Others segments. The company sells new and used heavy equipment sales and power systems; equipment rental; other rental services; product support; industrial solutions; and distributes Caterpillar products for resources, infrastructure, maritime, power generation, oil and gas, material handling, and agriculture companies. It also offers vehicle importation and assembly; vehicle rental; distribution and retail; and after-sales services for end consumers, corporate fleet clients, automotive dealers, rental customers, and brand principals. In addition, the company engages in vehicle manufacturing and distribution; material handling and marine equipment services; production of automotive parts and lubricants; and manufacture and supply of aero fan cases for automotive consumers, industry pl…
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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.