Fairvalue-Calculator Fairvalue-Calculator
EN DE

Shanghai Electric Wind Power Group (688660) Fair Value & Analysis

Industrials · CN · Market cap 12.6B CNY

Price¥9.29
Fair Value¥3.03
Upside-67.4%
Quality80/100
Evidence: Medium Range ¥1.98 – ¥4.73

Analysis

Shanghai Electric Wind Power Group (688660) currently trades at ¥9.29, while our model-based Fair Value estimate is ¥3.03 — implying the stock looks roughly 67.4% overvalued today. We read business quality at 80/100 (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: medium).

About the company

Shanghai Electric Wind Power Group Co., Ltd. engages in the design, development, manufacturing, and sale of wind power equipment in China. The company provides value-added services for wind turbines, wind farm management optimization, and personnel capacity improvement, as well as spare parts solutions, lean operation and maintenance, special operation and maintenance, intelligent equipment, intelligent asset management, asset optimization, training, and consulting. It is also involved in the wind resource development, wind farm investment and construction, wind farm operation, or transfer. The company was founded in 2006 and is based in Shanghai, China. Shanghai Electric Wind Power Group Co., Ltd. is a subsidiary of Shanghai Electric Machinery Co., Ltd.

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.