J&V Energy Technology Co (6869) Fair Value & Analysis
Utilities · TW · Market cap 10.6B TWD
Fair value as of: Jun 24, 2026
Analysis
J&V Energy Technology Co (6869) currently trades at 76.10 TWD, while our model-based Fair Value estimate is 65.43 TWD — implying the stock looks roughly 14.0% overvalued today. We read business quality at 89/100 (high quality), in the Utilities 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
J&V Energy Technology Co., Ltd., together with its subsidiaries, engages in the development, investment, maintenance, and management of renewable energy plants in Taiwan. It operates through Solar Engineering; Solar Energy Equipment Buying and Selling; Energy Storage Project; Sell Electricity; and Other segments. The company offers solar energy, offshore wind energy, energy storage, and water treatment services, as well as an energy trading platform, which provides services, such as inquiries, purchasing, and usage of power to help users identify optimal power usage combination plans. It is also involved in energy storage automatic frequency; control auxiliary help services; energy technical and technology services; engineering services; environmental protection projects; and sale of power generation system parts and energy storage equipment. J&V Energy Technology Co., Ltd. was founded in 2016 and is based in Taipei, Taiwan.
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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.