Clenergy Technology Co (603628) Fair Value & Analysis
Technology · CN · Market cap 2.8B CNY
Fair value as of: Jun 24, 2026
Analysis
Clenergy Technology Co (603628) currently trades at ¥9.94, while our model-based Fair Value estimate is ¥4.31 — implying the stock looks roughly 56.6% 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: high).
About the company
Clenergy Technology Co., Ltd. engages in the development, manufacturing, and engineering of solar mounting and cable management gear products in China and internationally. The company provides solar tracking systems; a range of solar mounting systems for various kinds of solar installations, including residential, industrial, commercial, and utility scale projects; cable tray and management systems; and portable power products, as well as related accessories comprising portable solar panels. It also offers energy storage solutions comprising inverters for residential use. In addition, the company provides engineering services, such as racking and structural assessment, site assessment and inspection, post install site inspection, and pallet loading assessment services; and project financing services. The company provides its products and services through distributors. Clenergy Technology Co., Ltd. was formerly known as Clenergy (Xiamen) Technology Co., Ltd. and changed its name to C…
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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.