E&R Engineering Corporation (8027) Fair Value & Analysis
Industrials · TW · Market cap 24.9B TWD
Analysis
E&R Engineering Corporation (8027) currently trades at 237.00 TWD, while our model-based Fair Value estimate is 111.43 TWD — implying the stock looks roughly 53.0% 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: low).
About the company
E&R Engineering Corporation engages in the planning, designing, manufacturing, installation, and selling of automatic machines, related components, computer software, and pollution controlling equipment. The company provides automation machines for semiconductor, light emitting diode (LED), passive component, material, and medical industries in Taiwan, Hong Kong, Mainland China, Southeast Asia, the United States, Europe, and internationally. The company offers laser solutions, including wafer and package marking; and micromaching, such as laser drilling, cutting, scribing, and grooving solution. It also provides plasma technology products comprising wafer and panel forms, and L/F substrates; flexible printed circuit equipment that consists of RTR, STS, lamination, punch, plating, and open cover machines; embossed carrier tape, cover tape, and E&R tape and reel products; and workshop and laser process development services. E&R Engineering Corporation was incorporated in 1994 and is b…
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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.