Zhejiang Tengen Electrics Co (605066) Fair Value & Analysis
Technology · CN · Market cap 3.2B CNY
Analysis
Zhejiang Tengen Electrics Co (605066) currently trades at ¥6.99, while our model-based Fair Value estimate is ¥3.90 — implying the stock looks roughly 44.2% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Zhejiang Tengen Electrics Co.,Ltd. manufactures and sells industrial electrical products in China. The company offers low-voltage power distribution and control appliances, intelligent instruments, power supplies, frequency converters, high-voltage electrical appliances, and building electrical appliances, as well as high-quality low-voltage electrical products. It also provides power distribution electrics, such as air circuit breaker, moulded case circuit breakers, ELCB, automatic transfer switches, disconnector switches, current transformer, fuses, voltage stabilizer, and capacitor; modular devices, including miniature circuit breaker, RCCB, RCBO, switch disconnectors, auxiliaries of circuit breakers, arc fault protection circuit breakers, overvoltage and undervoltage protectors, surge protective devices, metal boxes, and modular contactors; and control devices comprising transformers and voltage regulators, contactors, relays, push buttons, indicators and switches, motor drive a…
Open the full interactive analysis →
Similar stocks
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.