Forest Water Environmental Engineering Co (8473) Fair Value & Analysis
Industrials · TW · Market cap 9.1B TWD
Fair value as of: Jun 24, 2026
Analysis
Forest Water Environmental Engineering Co (8473) currently trades at 50.40 TWD, while our model-based Fair Value estimate is 53.57 TWD — implying the stock looks roughly 6.3% undervalued today. We read business quality at 83/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Forest Water Environmental Engineering Co., Ltd., together with its subsidiaries, engages in environmental engineering business in Taiwan. It is involved in environmental protection engineering construction; wastewater treatment; waste disposal and resource recycling; and composting and recycling of kitchen waste. The company also designs, builds, and operates municipal and industrial water systems; converts organic waste into renewable power for industrial and municipal applications; and recycles waste materials into secondary raw materials for construction and industrial use. In addition, it offers engineering services, technology integration, and construction management; facility operations; and public-private partnerships. The company was founded in 2004 and is headquartered in Taipei, Taiwan. Forest Water Environmental Engineering Co., Ltd. is a subsidiary of Ho Ching Enterprises Co., Ltd.
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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.