Ju-Kao Engineering Co (1594) Fair Value & Analysis
Industrials · TW · Market cap 288M TWD
Fair value as of: Jun 24, 2026
Analysis
Ju-Kao Engineering Co (1594) currently trades at 8.80 TWD, while our model-based Fair Value estimate is 10.43 TWD — implying the stock looks roughly 18.5% 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: medium) — always confirm before acting.
About the company
Ju-Kao Engineering Co., Ltd. engages in the steel frame and steel structure ironwork maintenance projects, heavy machinery cold work maintenance projects, and mechanical processing projects. The company provides engineering solutions, including design, constructions, maintenance, safety precautions, and construction management; designs, constructs, and produces factory buildings, steel frame structures, and mechanical equipment; procuring materials and equipment, and design and installation of plant equipment services; manufacturing and installation of dust collection equipment; as well as on-site maintenance services. It also offers lightweight solar power panel design solutions; solar panel installation; customized design and evaluation; system performance evaluation; smart monitoring and energy management systems; and emergency maintenance services. In addition, the company provides mobile solar cold storage, commercial solar freezer, smart temperature control system, smart wareh…
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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.