Sheh Kai Precision Co (2063) Fair Value & Analysis
Industrials · TW · Market cap 1.2B TWD
Fair value as of: Jun 24, 2026
Analysis
Sheh Kai Precision Co (2063) currently trades at 24.35 TWD, while our model-based Fair Value estimate is 26.22 TWD — implying the stock looks roughly 7.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high) — always confirm before acting.
About the company
Sheh Kai Precision Co., Ltd. manufactures and sells screws, nuts, bolts, rivets, and other metal products in Taiwan, the United Kingdom, China, Germany, Australia, the United States, and internationally. The company offers bi-metal self drilling screw, bi-metal self tapping screw sharp/blunt point, bi-metal window screw, bi-metal wing screw, and bi-metal concrete screws, as well as self piercing screws/side lap screw; and bi-metal concrete screw anchors, bi-metal concrete anchor stainless steel internal thread head, galvanized concrete screw anchors, and galvanized concrete anchors internal thread head. It also provides power tool accessories, including SDS plus hammer drill bits 3 cutter, SDS plus hammer drill bits 4 cutter, SDS max hammer drill bits 3 cutter, extra-long hammer drill bits, SDS plus stop hammer drill bits, vacuum cleaner hammer with SDS Plus, SDS max hammer drill bits in big size, diamond drill bits, and dust cap; and security, thread forming, timber, decking, concr…
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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.