ASMPT Limited (ASMVF) Fair Value & Analysis
Technology · US · Market cap $9.3B
Analysis
ASMPT Limited (ASMVF) currently trades at $22.20, while our model-based Fair Value estimate is $3.80 — implying the stock looks roughly 82.9% 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
ASMPT Limited, an investment holding company, engages in the design, manufacture, and marketing of machines, tools, and materials used in the semiconductor and electronics assembly industries internationally. The company operates in two segments: Semiconductor Solutions and Surface Mount Technology Solutions. The company offers ASMPT semiconductor solutions includes advanced packing, such as laser dicing & grooving, fan out, hybrid bonding, thermos compress bonding, and die bonding; IC and discrete, including silver sintering, wire bonding, metrology, encapsulation, and singulation, trim & form; CMOS image sensor, such as inline solution, lens holder attach, curing, automated optical inspection, cleaning, active alignment, and test and calibration; and LED/ Photonics, includes FOL. It also offers ASMP SMT solutions, includes printing, inspection, placement, storage, and software. In addition, the company offers critical manufacturing of IoT data platforms. Further, it provides agenc…
Open the full interactive analysis →
Similar stocks
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.