SKB Shutters Corporation (7115) Fair Value & Analysis
Industrials · MY · Market cap 190M MYR
Fair value as of: Jun 24, 2026
Analysis
SKB Shutters Corporation (7115) currently trades at 0.9500 MYR, while our model-based Fair Value estimate is 1.57 MYR — implying the stock looks roughly 65.3% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
SKB Shutters Corporation Berhad, an investment holding company, engages in the manufacture, sale, and trade of roller shutters, racking systems, storage systems, and related steel products in Malaysia, rest of Asia, Oceania, the Middle East, and internationally. It offers aluminum, double-wall, fire resistance, and lightweight greaseless roller shutters; automatic reset for fire shutters; motorized shutters DC motor; motorized shutters safety beam sensors; powerless auto lift up safety; roller grille; roller shutter with swing doors; safety arrester brakes; back-up batteries; wireless remote controls; and heavy duty, insulated fire, horizontal fire-rated, lateral sliding pathwinder, outdoor heavy duty design, powerless fail-safe flood, roller grille and see-thru, security staircase, and transparent shutters. The company also provides fold up, spiral, safety and self-repairing PVC roll up, blast resistant steel, non-fire rated steel, and insulated fire-rated steel doors; and sanigate…
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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.