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AUROS Technology, Inc (322310) Fair Value & Analysis

Technology · KR · Market cap 286B KRW

Price22,050 KRW
Fair Value20,620 KRW
Upside-6.5%
Quality95/100
Evidence: Low Range 15,465 KRW – 25,775 KRW

Fair value as of: Jun 24, 2026

Analysis

AUROS Technology, Inc (322310) currently trades at 22,050 KRW, while our model-based Fair Value estimate is 20,620 KRW — implying the stock looks roughly 6.5% overvalued today. We read business quality at 95/100 (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: low).

About the company

AUROS Technology, Inc. engages in the manufacture and sale of measuring equipment for all processes of the semiconductors in South Korea and internationally. It offers wafer overlay metrology, wafer inspection, package overlay metrology, and package inspection products. The company was formerly known as AUROS Co., Ltd. and changed its name to AUROS Technology, Inc. in 2010. AUROS Technology, Inc. was founded in 2003 and is headquartered in Hwaseong-si, South Korea.

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Frequently asked questions

Is AUROS Technology, Inc (322310) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 20,620 KRW versus a price of 22,050 KRW — about −6% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 322310?
Our 21-model fair value for AUROS Technology, Inc is 20,620 KRW (as of Jun 24, 2026), built from audited fundamentals. The current price is 22,050 KRW.
What is the quality score of 322310?
AUROS Technology, Inc 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.