Fairvalue-Calculator Fairvalue-Calculator

Hexing Electrical Co (603556) Fair Value & Analysis

Industrials · CN · Market cap 11.7B CNY

Price¥22.92
Fair Value¥26.70
Upside+16.5%
Quality95/100
Evidence: High Range ¥16.37 – ¥37.48

Analysis

Hexing Electrical Co (603556) currently trades at ¥22.92, while our model-based Fair Value estimate is ¥26.70 — implying the stock looks roughly 16.5% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Hexing Electrical Co.,Ltd. provides electrical equipment and related solutions to power utilities in China and internationally. The company offers cluster metering cabinet; string inverters; IEC and ANSI meters; communication modules; fault circuit indicators and DCU products; recloser and pole switches; ring main units; RMU enclosures; and cable junction boxes. It also provides various solutions, such as advance metering infrastructure; ATC&C/boundary metering; CIS/billing; commercial and industrial metering solutions; integrated distribution management system; transformer monitoring system; vending system; SCADA system; substation automation system; and prefabricated substation. Hexing Electrical Co.,Ltd. was founded in 1992 and is headquartered in Hangzhou, China. Hexing Electrical Co.,Ltd. is a subsidiary of Hexing Group Inc.

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.