Simat Technologies Public Company (SIMAT) Fair Value & Analysis
Technology · TH · Market cap 869M THB
Fair value as of: Jun 24, 2026
Analysis
Simat Technologies Public Company (SIMAT) currently trades at 1.32 THB, while our model-based Fair Value estimate is 1.59 THB — implying the stock looks roughly 20.5% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
Simat Technologies Public Company Limited trades in computer hardware, software and network accessories, and computer information technology system development in Thailand, Malaysia, and Vietnam. The company offers hardware products, including barcode printers, such as barcode and label printers, and mobile printers; barcode scanners, including corded and cordless barcode scanners, and micro kiosks; card printers; face recognition; mobile computers; solar cell; and wireless and networking products, as well as radio frequency identification antennas, barcode printers, and barcode readers. It also provides self-adhesive label stickers, such as ribbonless label, antistatic label materials, high temperature, healthcare, and barcode and serialize labels. In addition, the company offers software products comprising ManageSales, a sales force automation system; ManageWare, a warehouse management system solution; MobileNET; and Sky Frog. Further, it provides project management, implementati…
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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.