Shenzhen INVT Electric Co (002334) Fair Value & Analysis
Industrials · CN · Market cap 7.1B CNY
Analysis
Shenzhen INVT Electric Co (002334) currently trades at ¥8.16, while our model-based Fair Value estimate is ¥5.32 — implying the stock looks roughly 34.8% 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
Shenzhen INVT Electric Co.,Ltd engages in the industrial automation, and energy and power businesses in China and internationally. The company offers low and medium voltage drives, dedicated drive, elevator control systems, IoTs, and accessories. It also provides PLC and HMI; general servo system; hydraulic servo system; and motion controller series products. In addition, the company offers on-grid and off-grid solar inverters; hybrid inverters; LFP battery; and monitoring platform. Additionally, it provides uninterruptible power supply (UPS) products, such as modular UPS, 3:3 online standalone UPS, single phase UPS, and 208V&120V UPS, as well as battery and hot swap battery cabinet, energy absorbing unit, bypass cabinet, and power distribution unit. Further, the company offers thermal management solutions, including rack air conditioners, in-row cooling, room thermal management systems, fluorine pump free cooling, and water cooling solutions; and modular data centers. It serves pet…
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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.