SBT Ultrasonic Technology Co (688392) Fair Value & Analysis
Industrials · CN · Market cap 17.9B CNY
Analysis
SBT Ultrasonic Technology Co (688392) currently trades at ¥165.10, while our model-based Fair Value estimate is ¥20.85 — implying the stock looks roughly 87.4% overvalued today. We read business quality at 95/100 (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: high).
About the company
SBT Ultrasonic Technology Co., Ltd. engages in the research and development, design, production, and sale of ultrasonic equipment and accessories internationally. It provides ultrasonic application and intelligent equipment solutions. The company also offers ultrasonic wedge welding machines, integrated ultrasonic welding monitoring machines, ultrasonic roll welding machines, wire harness welding, semiconductor ultrasonic bonding and pin welding machines, ultrasonic die bonders, tire cutting systems, plastic welding machines, and advanced ultrasonic scanning microscopes, as well as related accessories including welding heads, non-woven fabric welding, bottom molds, generators, and transducers. The company products are primarily used in new energy batteries, wire harness connectors, semiconductors, rubber tires, non-woven fabrics, and various high-precision applications in automotive, aerospace, medical, and scientific research industries. It serves customers in the new energy, autom…
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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.