AzureWave Technologies, Inc (3694) Fair Value & Analysis
Technology · TW · Market cap 9.3B TWD
Fair value as of: Jun 24, 2026
Analysis
AzureWave Technologies, Inc (3694) currently trades at 59.60 TWD, while our model-based Fair Value estimate is 79.42 TWD — implying the stock looks roughly 33.3% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
AzureWave Technologies, Inc. engages in the manufacture and sale of wireless connectivity and image processing solutions worldwide. The company offers wireless modules, including M.2 socket type, M.2 solder-own, solder-down stamp, wireless IOT module, and system-in-package products. It also provides infineon, NXP, nvidia certified module, dialog, morse micro, newracom, and atmosic solutions. In addition, the company offers camera modules, such as USB interface, MIPI interface, ultra slim and narrow NB, ultra slim and narrow MIPI, and biological identification/depth detection camera modules. Its products are used in various applications, such as personal and industrial computers, mobile and internet devices, consumer electronics, home appliances, automotive components, manufacturing facilities, and others. AzureWave Technologies, Inc. was founded in 2005 and is headquartered in New Taipei City, Taiwan.
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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.