Cleanaway Company (8422) Fair Value & Analysis
Industrials · TW · Market cap 33.0B TWD
Analysis
Cleanaway Company (8422) currently trades at 28.65 TWD, while our model-based Fair Value estimate is 22.13 TWD — implying the stock looks roughly 22.8% overvalued today. We read business quality at 88/100 (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: medium).
About the company
Cleanaway Company Limited operates as an intermediate treatment solidification company in the waste disposal process in Taiwan, Mainland China, Vietnam, Malaysia, and internationally. It operates through eight segments: Solidification and Excavation Department, Landfill Department, Transportation Department, Mainland Business Department, Investment Department, Papermaking Department, Power Sales Department and Ready-Mixed Concrete Department. The company offers intermediate treatment for hazardous industrial waste and pollution; undertakes disposal site remediation projects; contaminated and illegal dump sites cleanup; landfill for hazardous industrial waste intermediate treatment products and general industrial waste; and waste removal services. It also manufactures and sells kraft paper, paper for electronic carriers, paper for paper tubes, and other types of paper products. In addition, the company offers solar power generation and renewable energy power sales; and manufacturing …
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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.