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I-Chiun Precision Industry Co (2486) Fair Value & Analysis

Technology · TW · Market cap 58.5B TWD

Price255.00 TWD
Fair Value138.10 TWD
Upside-45.8%
Quality92/100
Evidence: Medium Range 103.50 TWD – 172.70 TWD

Analysis

I-Chiun Precision Industry Co (2486) currently trades at 255.00 TWD, while our model-based Fair Value estimate is 138.10 TWD — implying the stock looks roughly 45.8% overvalued today. We read business quality at 92/100 (high quality), in the Technology 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: medium).

About the company

I-Chiun Precision Industry Co., Ltd. manufactures, processes, and trades machinery and parts, electronic components, electrical components, semiconductor LED lead frames, precision molds, and ceramic circuit boards in Taiwan, China, and internationally. The company offers optoelectronic products, including SMD top and side view, photo coupler, IC leadframe, and power module; and industrial computer case products and components, and precision component products. It also provides head spreader products; TV backlight units; ceramic substrate; and IC lead frame products. In addition, the company is involved in general investment and investment property leasing; investment property leasing activities; manufacturing of other metal products; and manufacturing and trading of direct back-lit module components. I-Chiun Precision Industry Co., Ltd. was incorporated in 1977 and is based in New Taipei City, Taiwan.

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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.