Ecoscience International Berhad (0255) Fair Value & Analysis
Industrials · MY · Market cap 54.2M MYR
Fair value as of: Jun 26, 2026
Analysis
Ecoscience International Berhad (0255) currently trades at 0.1250 MYR, while our model-based Fair Value estimate is 0.0600 MYR — implying the stock looks roughly 52.0% 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
Ecoscience International Berhad engages in the construction of plants and facilities in Gabon, Indonesia, Malaysia, and internationally. It operates through Construction of Plants and Facilities; Fabrication of Equipment; and Supply of Material and Equipment segments. The company engages in construction of palm oil mills and its facilities and covers downstream processes of palm oil industry, such as refineries where crude palm oil is processed. It also provides fabrication of palm oil mill and fabrication and installation of sterilizer systems. In addition, the company is involved in turnkey projects in building and commissioning; in-house fabrication of equipment; construction of biogas plants; and installation of electrostatic precipitator. Further, it engages in supply of materials and equipment, spare parts, and maintenance services. The company was incorporated in 2020 and is headquartered in Pasir Gudang, Malaysia.
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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.