PT Cahaya Bintang Medan Tbk (CBMF) Fair Value & Analysis
Consumer Cyclical · ID · Market cap 93.8B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Cahaya Bintang Medan Tbk (CBMF) currently trades at 50.00 IDR, while our model-based Fair Value estimate is 45.64 IDR — implying the stock looks roughly 8.7% overvalued today. We read business quality at 89/100 (high quality), in the Consumer Cyclical 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: medium).
About the company
PT Cahaya Bintang Medan Tbk engages in the manufacture, wholesale, and retail of furniture for office and household appliances in Indonesia. It offers wood, rattan or bamboo, plastic, and metal furniture, including tables, chairs, benches, beds, cupboards, shelves, cabinets, and room dividers. The company provides furniture, such as restaurant decoration carts/food carts and supplementary materials for mattresses; spring mattress or filled/stuffed with other supplementary materials; and non-coated plastic/rubber mattresses. In addition, it trades in household appliances and equipment; kitchen and cooking utensils; lights and fixtures; consumer electronics, such as radios, televisions, recorders, CD and DVD players, stereo equipment, and video game consoles; lighting equipment; porcelain tableware comprising glasses, spoons, knives, and forks; wooden tools; woven goods; cork articles; wallpapers; and carpets, as well as retails furniture, such as tables, chairs, cabinets, beds, books…
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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.