Econframe Berhad, an investment holding company, (0227) Fair Value & Analysis
Industrials · MY · Market cap 94.1M MYR
Fair value as of: Jun 24, 2026
Analysis
Econframe Berhad, an investment holding company, (0227) currently trades at 0.2650 MYR, while our model-based Fair Value estimate is 0.2000 MYR — implying the stock looks roughly 24.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high).
About the company
Econframe Berhad, an investment holding company, manufactures and sells doors, and door and window frames primarily in Malaysia. It operates through Manufacturing and Trading segments. The company offers metal and wooden doors and frames, fire resistant door sets, steel doors, and pre-hung doors. It is also involved in the trading of wooden doors; and ironmongery products, such as handles, locks, closing devices, and accessories. In addition, the company engages in the trading and provision of installation services for solar energy products and systems; fabrication and installation of aluminium glazing, glass products, and facade works; and property rental and glass processing businesses. Further, it trades in electronics and electrical systems and accessories. The company offers its products under the Econframe and Duroe brands. It serves property developers and construction companies across residential, commercial, industrial, and mixed-development projects. The company was founde…
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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.