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Newonder Special Electric Co (301120) Fair Value & Analysis

Technology · CN · Market cap 6.7B CNY

Price¥20.22
Fair Value¥2.31
Upside-88.6%
Quality95/100
Evidence: Medium Range ¥1.73 – ¥2.88

Analysis

Newonder Special Electric Co (301120) currently trades at ¥20.22, while our model-based Fair Value estimate is ¥2.31 — implying the stock looks roughly 88.6% 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: medium).

About the company

Newonder Special Electric Co.,Ltd. engages in the research, development, production, and sale of frequency converter transformers, reactors, power transformers, and other transformers in China and internationally. The company offers dry-type and oil-immersed transformers, including variable frequency speed control, marine power, energy storage, distribution, and other transformers, as well as transformers for shore power supply, and photovoltaic and wind power; and oil and gas drilling use. It also provides reactors, including synchronous switching, incoming line, outgoing line, smoothing, filter, series, SVG, and other reactors. The company was formerly known as Beijing Xinhuadu Special Transformer Co., Ltd. and changed its name to Newonder Special Electric Co.,Ltd. in May 2010. Newonder Special Electric Co.,Ltd. was founded in 1985 and is headquartered in Beijing, China.

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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.