TT Vision Holdings (0272) Fair Value & Analysis
Technology · MY · Market cap 125M MYR
Fair value as of: Jun 25, 2026
Analysis
TT Vision Holdings (0272) currently trades at 0.2600 MYR, while our model-based Fair Value estimate is 0.0300 MYR — implying the stock looks roughly 88.5% 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: low).
About the company
TT Vision Holdings Berhad, an investment holding company, engages in the development, manufacture, and sale of machine vision equipment, and related products and services. The company offers semiconductor/led inspection solutions, including wafer, wirebond, and substrate package AOI machines; PV inspections, test, sort and automation products, such as auto stocker, automated material transfer system, unmetallized IBC cell sorter, incoming wafer inspection sorter, loader and unloader, solar cell sorter, solar cell transflection and photoluminescence AOI, BC metallized solar cell sorter, front- and rear-side visual automated optical inspection (AOI) technology; and robotic products comprising robot palletizer, mobile robot integration, cobot polishing and dispensing, cobot test handler, robot auto packing, robotic spot welding, assembly robotic AOI, and robotic machine tending, as well as robotic pick, place, and assembly solutions. It serves manufacturers within the semiconductor ind…
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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.