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ECOVE Environment Corp (6803) Fair Value & Analysis

Industrials · TW · Market cap 21.0B TWD

Price286.50 TWD
Fair Value358.11 TWD
Upside+25.0%
Quality90/100
Evidence: Medium Range 199.91 TWD – 473.93 TWD

Analysis

ECOVE Environment Corp (6803) currently trades at 286.50 TWD, while our model-based Fair Value estimate is 358.11 TWD — implying the stock looks roughly 25.0% undervalued today. We read business quality at 90/100 (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

ECOVE Environment Corp. provides waste management services to public and private entities in Taiwan, Macau, China, Southeast Asia, the United States, and India. The company finances, plans, constructs, operates, and maintains energy-from-waste, hazardous and special waste treatment, photovoltaic power, recycling, and water and wastewater treatment plants. It also provides management consulting, testing and commissioning, resource management, maintenance and overhaul for system and equipment, and upgrade and improve systems and equipment, as well as waste collection, transportation, and disposal services for the energy-from-waste, railway, waste management, and public utility sectors. The company was founded in 1994 and is headquartered in Taipei, Taiwan. ECOVE Environment Corp. is a subsidiary of CTCI Corporation.

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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.