Asia Pacific Wire & Cable Corporation (APWC) Fair Value & Analysis
Industrials · US · Market cap $57.3M
Fair value as of: Jun 24, 2026
Analysis
Asia Pacific Wire & Cable Corporation (APWC) currently trades at $1.95, while our model-based Fair Value estimate is $1.87 — implying the stock looks roughly 4.1% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Asia Pacific Wire & Cable Corporation Limited, through its subsidiaries, manufactures and distributes enameled wire, power cable, and telecommunications products in Thailand, Singapore, Australia, the People's Republic of China, Hong Kong, and the Asia Pacific region. The company offers copper rods; armored and unarmored low voltage power transmission cable, which is used to transmit electricity to and within commercial and residential buildings, as well as to outdoor installations, such as streetlights, traffic signals, and other signs; and telecommunications cable products, including copper-based and fiber optic cables for telephone and data transmissions. It also provides enameled wire for use in the assembly of a range of electrical products consisting of oil-filled transformers, refrigerator motors, telephones, radios, televisions, fan motors, air conditioner compressors, and other electric appliances. In addition, the company offers project engineering services, as well as fab…
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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.