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SMS Electric Co (002857) Fair Value & Analysis

Technology · CN · Market cap 2.4B CNY

Price¥17.70
Fair Value¥11.20
Upside-36.7%
Quality94/100
Evidence: Low Range ¥8.40 – ¥14.00

Fair value as of: Jun 25, 2026

Analysis

SMS Electric Co (002857) currently trades at ¥17.70, while our model-based Fair Value estimate is ¥11.20 — implying the stock looks roughly 36.7% overvalued today. We read business quality at 94/100 (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: low).

About the company

SMS Electric Co.,Ltd.Zhengzhou engages in the research, design, production and sales of electrical energy metering instruments. It offers electric energy meter standard testing equipment, electric energy meter automated assembly line calibration system, electric energy meter intelligent storage system, electricity consumption information collection system, mutual inductor, energy storage, and other products. SMS Electric Co.,Ltd.Zhengzhou was founded in 1996 and is based in Zhengzhou, China.

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Frequently asked questions

Is SMS Electric Co (002857) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥11.20 versus a price of ¥17.70 — about −37% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002857?
Our 21-model fair value for SMS Electric Co is ¥11.20 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥17.70.
What is the quality score of 002857?
SMS Electric Co has a Quality Score of 94/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.