PSS Co (6914) Fair Value & Analysis
Industrials · TW · Market cap 9.4B TWD
Fair value as of: Jun 24, 2026
Analysis
PSS Co (6914) currently trades at 141.50 TWD, while our model-based Fair Value estimate is 201.58 TWD — implying the stock looks roughly 42.5% 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
PSS Co.,Ltd. provides cloud parking management and visitor management systems, medical self-help machines, self-service refueling machines, ordering machines, and smart ticket machines in Taiwan. The company provides car entrance subtitle, car identification entrance subtitle, car identification export subtitle, IC entrance ticket dispensing, IC exit ticket inspection, multi-card entrance verification, automatic fence, multi-card export verification, and fully automatic payment machines; and export electronic toll stations, automatic car brakes, 3D license plate recognition cameras, Integrated 3D license plate recognition systems, smart car identification group PSS-PARK systems, and ultrasonic presence detectors. It offers automatic medical payment machines; insert type and compound self-service refuelling machines, and double-sided card swiping fuel dispensers; desktop ordering and vertical ordering machines; automatic ticket vending, shutdown, and win gate clearance machines; and …
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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.