Fairvalue-Calculator Fairvalue-Calculator

Auras Technology Co (3324) Fair Value & Analysis

Technology · TW · Market cap 102B TWD

Price1,025 TWD
Fair Value522.67 TWD
Upside-49.0%
Quality93/100
Evidence: High Range 383.10 TWD – 666.02 TWD

Analysis

Auras Technology Co (3324) currently trades at 1,025 TWD, while our model-based Fair Value estimate is 522.67 TWD — implying the stock looks roughly 49.0% 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: high).

About the company

Auras Technology Co., Ltd. engages in the manufacturing, processing, and retailing of electronic materials and computer cooling modules in China, Taiwan, Ireland, Singapore, the United States, and internationally. The company provides servers for Al-GPU, CPU, and switch; notebook for gaming, commercial, and consumer; PC/VGA for industrial computers, as well as robust and reliable cooling solutions; graphics card; motherboards; smartphones/tablets; and electric vehicle. The company was founded in 1998 and is headquartered in New Taipei City, Taiwan.

Open the full interactive analysis →

Similar stocks

Compal Electronics, Inc (CEIR) +105% Dell Technologies Inc (DELL) -15% Arista Networks, Inc (ANET) -55% Western Digital Corporation (WDC) -90% Quanta Computer Inc (2382) -31% Hangzhou Hikvision Digital Technology Co (002415) -8%

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.