United Integrated Services Co (2404) Fair Value & Analysis
Industrials · TW · Market cap 228B TWD
Fair value as of: Jun 24, 2026
Analysis
United Integrated Services Co (2404) currently trades at 1,255 TWD, while our model-based Fair Value estimate is 925.62 TWD — implying the stock looks roughly 26.2% 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
United Integrated Services Co., Ltd. provides engineering construction services in Taiwan, Mainland China, Singapore, the United states, and Japan. It operates through Engineering and Integration Department; Maintenance and Design Department; and Other segments. The company engages in the undertaking of various water supply engineering, instrumentation engineering, and refrigeration and air conditioning engineering; installation of clean rooms and related transactions; manufacturing of supplies; designing and installation of traffic control systems; and factory computer monitoring systems. It also offers traffic surveillance and control system engineering building services; and technical advisory services for planning and designing projects. In addition, the company provides engineering environment monitoring systems; and electrical and mechanical engineering contracts for transmission and distribution of electric power. Further, the company designs, installs, maintains, and trades …
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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.