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Aurona Industries, Inc (8074) Fair Value & Analysis

Technology · TW · Market cap 5.7B TWD

Price73.00 TWD
Fair Value20.41 TWD
Upside-72.0%
Quality93/100
Evidence: Medium Range 15.84 TWD – 26.54 TWD

Fair value as of: Jun 24, 2026

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Analysis

Aurona Industries, Inc (8074) currently trades at 73.00 TWD, while our model-based Fair Value estimate is 20.41 TWD — implying the stock looks roughly 72.0% overvalued today. We read business quality at 93/100 (high quality), in the Technology 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

Aurona Industries, Inc. engages in the manufacturing, processing, and trading of printed circuit boards, insulation materials, and decorative laminates in Taiwan and China. Its products include fireproof decorative panels for construction and other wood products. In addition, it manufactures and sale resins and plastics, as well as fiberglass and resin laminates. Further, it imports and exports its products. Aurona Industries, Inc. was founded in 1996 and is based in Tainan City, Taiwan.

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Frequently asked questions

Is Aurona Industries, Inc (8074) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 20.41 TWD versus a price of 73.00 TWD — about −72% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 8074?
Our 21-model fair value for Aurona Industries, Inc is 20.41 TWD (as of Jun 24, 2026), built from audited fundamentals. The current price is 73.00 TWD.
What is the quality score of 8074?
Aurona Industries, Inc has a Quality Score of 93/100, 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.