Ever-Clear Environmental Eng. Corp (6624) Fair Value & Analysis
Industrials · TW · Market cap 897M TWD
Fair value as of: Jun 24, 2026
Analysis
Ever-Clear Environmental Eng. Corp (6624) currently trades at 42.50 TWD, while our model-based Fair Value estimate is 7.54 TWD — implying the stock looks roughly 82.3% overvalued today. We read business quality at 95/100 (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
Ever-Clear Environmental Eng. Corp. engages in the wastewater treatment and equipment installation engineering in Taiwan. The company involved in the evaluation/process design/detailed design of wastewater/sludge/underground water/organic waste gas treatment; upgrade or expansion of existed wastewater or organic waste gas treatment plant; reuse of industrial wastewater; and organic waste gas treatment equipment manufacturing and turnkey services. It provides fine screens, flow measuring tanks, sludge scrapers, anaerobic biological treatment equipment, floating decanter system of sequential batch reactors, physical and chemical treatment equipment, sludge dryers, and air pollution control equipment. It serves food, textile and dying, mechanical and automotive, leather, electric and optoelectronics, biotechnology and pharmaceutical, chemical, pulp and paper, and other industries. Ever-Clear Environmental Eng. Corp. was founded in 1999 and is based in Taichung, 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.