Speed Tech Corp (5457) Fair Value & Analysis
Technology · TW · Market cap 7.0B TWD
Fair value as of: Jun 25, 2026
Analysis
Speed Tech Corp (5457) currently trades at 36.00 TWD, while our model-based Fair Value estimate is 48.85 TWD — implying the stock looks roughly 35.7% 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
Speed Tech Corp. designs, research and develops, manufactures, and sells connectors for use in communication, computers, automotive, and consumer industries in Taiwan and internationally. The company offers RF, TYPE C, RJ45, and board to board connectors; and HDD connectors, mini SAS HD, slim SAS, OCulink, and other low profile connectors. It also offers antenna module, electrically power assisted cycle, renewable energy applications, automotive wire harness, and automative connector solutions. In addition, the company provides 5G indoor and outdoor, 5G Mifi, GPON, Wifi router, and cable modem broadband products. Further, it offers docking related products. Speed Tech Corp. was incorporated in 1990 and is headquartered in Taoyuan City, Taiwan.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Speed Tech Corp (5457) undervalued?
What is the fair value of 5457?
What is the quality score of 5457?
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.