Unisem (M) Berhad, (5005) Fair Value & Analysis
Technology · MY · Market cap 7.8B MYR
Analysis
Unisem (M) Berhad, (5005) currently trades at 4.49 MYR, while our model-based Fair Value estimate is 0.9700 MYR — implying the stock looks roughly 78.4% 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: high).
About the company
Unisem (M) Berhad, together with its subsidiaries, provides semiconductor assembly and test services for electronic companies in Asia, Europe, and the United States. The company offers packaging and leadframe packaging services including advanced integrated circuit packaging technology, such as wafer bump, redistribution layer design and fabrication, flip chip interconnect, and wafer level chip scale packaging, as well as a range of leadframe and substrate integrated circuit packages. It also provides test services comprising wafer probe and final testing on test equipment covering test platforms, such as radio frequency, analog, digital, and mixed signal; and test related services comprising reliability testing, thermal and electrical characterization, dry pack, and tape and reel. In addition, the company offers turnkey services, including design, assembly, test, failure analysis, warehousing, and drop-ship services. Further, the company engages in marketing, administrative, and ot…
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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.