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6887 (6887) Fair Value & Analysis

Industrials · TW · Market cap 2.6B TWD

Price35.90 TWD
Fair Value94.22 TWD
Upside+162.5%
Quality95/100
Evidence: High Range 65.32 TWD – 117.77 TWD

Fair value as of: Jun 25, 2026

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Analysis

6887 (6887) currently trades at 35.90 TWD, while our model-based Fair Value estimate is 94.22 TWD — implying the stock looks roughly 162.5% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.

About the company

BORETECH Resource Recovery Engineering CO., LTD. produces and sells polyester staple fibers from recycled raw materials worldwide. It designs, manufactures, and engineers recycling production line and equipment; recycled plastic raw materials; and recycled bottle flakes. The company was founded in 1994 and is headquartered in Pinghu, China.

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Frequently asked questions

Is 6887 (6887) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 94.22 TWD versus a price of 35.90 TWD — about +162% (undervalued). Model-based estimate, not financial advice.
What is the fair value of 6887?
Our 21-model fair value for 6887 is 94.22 TWD (as of Jun 25, 2026), built from audited fundamentals. The current price is 35.90 TWD.
What is the quality score of 6887?
6887 has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.