Xinjiang Goldwind Science & Technology Co (XNJJY) Fair Value & Analysis
US · Market cap $5.1B
Analysis
Xinjiang Goldwind Science & Technology Co (XNJJY) currently trades at $12.00, while our model-based Fair Value estimate is $1.95 — implying the stock looks roughly 83.8% overvalued today. We read business quality at 92/100 (high quality). 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
Xinjiang Goldwind Science & Technology Co., Ltd., together with its subsidiaries, provides wind power solutions in China and internationally. The company operates through four segments: WTG Manufacturing, Wind Power Services, Wind Farm Development, and Others. The WTG Manufacturing segment engages in the research and development, manufacture, and sale of wind turbine generators and spare parts. The Wind Power Service segment offers wind power construction, post-warranty, and asset management services. The Wind Farm Development segment engages in the development and operation of wind farms, which consists of wind power generation services through its wind farms, as well as the sale of wind farms. The Other segment is involved in the operation of water treatment plants. It also engages in the development and operation of solar power generation projects; and financial leasing business. Xinjiang Goldwind Science & Technology Co., Ltd. was founded in 1998 and is based in Urumqi, 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.