BES Engineering Corporation (2515) Fair Value & Analysis
Industrials · TW · Market cap 20.7B TWD
Analysis
BES Engineering Corporation (2515) currently trades at 13.20 TWD, while our model-based Fair Value estimate is 8.31 TWD — implying the stock looks roughly 37.0% 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
BES Engineering Corporation engages in the construction and engineering businesses. It operates through Construction Engineering, Construction and Development, and Other segments. The Construction Engineering segment undertakes civil and architectural engineering contracting projects, including roads, bridges, docks, and residential and commercial buildings. The Construction and Development segment focuses on investment and construction of real estate, as well as development and agency services for industrial zones. The Other Departments segment provides staffing, security management, and operations in the audiovisual entertainment industry. It offers construction contracting, real estate development and sales, industrial zone development, security services, human resources management, immersive experience applications, performance space industry, land investment and development, inquiry, urban renewal and reconstruction, music exhibition services, and food, general merchandise, and…
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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.