HannStar Board Corporation (5469) Fair Value & Analysis
Technology · TW · Market cap 40.7B TWD
Analysis
HannStar Board Corporation (5469) currently trades at 85.50 TWD, while our model-based Fair Value estimate is 137.11 TWD — implying the stock looks roughly 60.4% undervalued today. We read business quality at 80/100 (high quality), in the Technology 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
HannStar Board Corporation manufactures, assembles, and sells printed circuit boards (PCBs) in Taiwan. The company provides double-sided, multi-layer, thick copper, high-density interconnect, and SLC multi-layer PCB products. Its products are used in games, televisions, liquid crystal displays, personal computers, networking and automotive products, set up boxes, servers, and other applications. In addition, the company engages in general investment; solar power generation; sale of electronic components, real estate investment and leasing; enterprise real estate management; rents mechanical device and electronic components manufacture service; electronic spare part manufacturing; and electronic fitting research and development and sale. The company was formerly known as Pacific Science and Technology Industrial Co., Ltd. and changed its name to HannStar Board Corporation in December 1998. HannStar Board Corporation was incorporated in 1989 and is based in Taoyuan 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.