Inari Amertron Berhad (0166) Fair Value & Analysis
Technology · MY · Market cap 8.7B MYR
Analysis
Inari Amertron Berhad (0166) currently trades at 2.18 MYR, while our model-based Fair Value estimate is 1.15 MYR — implying the stock looks roughly 47.2% overvalued today. We read business quality at 81/100 (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
Inari Amertron Berhad engages in the provision of electronic manufacturing, outsourced semiconductor assembly, and testing services for radio frequency, fiber-optics transceivers, optoelectronics, memory modules, sensors, and custom integrated circuit (IC) technologies. The company offers wafer processing services covering bumping, probing, laser marking, die sawing, back grinding, flip-chip dice tape and reel, and automated visual inspection; and chip fabrication and wafer certification in fiber optic chips, such as wafer scribe and cleave, bar aligning, demount-load fixtures and facet coating, and chip on carrier. It also provides advanced system in package assembly and test services, including fine-pitch surface mount technology, high speed and accuracy flip-chip dice placement, in-line post vision, molding underfill, and post-mold oxide plating and final testing; stacked dice for memory modules; and other services, such as new product introduction services, failure analysis lab,…
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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.