Pan-International Industrial Corp (2328) Fair Value & Analysis
Technology · TW · Market cap 26.8B TWD
Analysis
Pan-International Industrial Corp (2328) currently trades at 51.20 TWD, while our model-based Fair Value estimate is 36.60 TWD — implying the stock looks roughly 28.5% overvalued today. We read business quality at 81/100 (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
Pan-International Industrial Corp., together with its subsidiaries, provides electronic manufacturing services to technology companies in China, Hong Kong, Malaysia, the United States, Singapore, and Taiwan. It operates through Electronic Components and Consumer Electronics and Computer Peripherals segments. The company develops, manufactures, and sales of electronic signal cables, connectors, connecting wires, precision molds, various plugs, sockets for telecommunication communication, wireless Bluetooth, turnkey, printed circuit boards and other computer peripheral products, medical equipment related products, industrial control products, automotive wiring harnesses, automotive parts and accessories, intelligent vehicle equipment, and other products. It also offers bulk wires; connector systems; wire harness and cable assembly; PCB, PCBA and Flex-circuit assembly; and plastic injection moulding. It serves automotive, communications, portable energy, industrial, healthcare, computi…
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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.