Luxe Green Energy Technology Co (1529) Fair Value & Analysis
Industrials · TW · Market cap 3.6B TWD
Fair value as of: Jun 24, 2026
Analysis
Luxe Green Energy Technology Co (1529) currently trades at 22.75 TWD, while our model-based Fair Value estimate is 12.22 TWD — implying the stock looks roughly 46.3% overvalued today. We read business quality at 92/100 (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: high).
About the company
Luxe Green Energy Technology Co., Ltd. engages in the design, manufacture, installation, and sale of high and low voltage distribution panels and various electrical and electronic equipment in Taiwan. The company operates through Energy Business; Motor Business; Construction Business; and Other segments. It offers energy solutions, including solar power plant monitoring and maintenance systems, DC distribution panels, and solar power plant construction and planning services. The company also offers electrical equipment comprising various transformers and matching system reactors. In addition, it provides switchboard products, such as solar power high voltage substations, high and low voltage switchboards, metal clad switchgear distributive panels, low voltage motor control centers, gas isolated switchgear facilities, and power centers, as well as test equipment, including electrical test benches, voltage-withstand test bedsteads, and temperature rise test panels. The company was for…
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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.