Topco Technologies Corp (3388) Fair Value & Analysis
Basic Materials · TW · Market cap 6.9B TWD
Fair value as of: Jun 24, 2026
Analysis
Topco Technologies Corp (3388) currently trades at 92.20 TWD, while our model-based Fair Value estimate is 97.40 TWD — implying the stock looks roughly 5.6% undervalued today. We read business quality at 92/100 (high quality), in the Basic Materials 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: high) — always confirm before acting.
About the company
Topco Technologies Corp. engages in the distribution and sales of silicone products in Taiwan and internationally. It provides silicone and modifies silicone oil, foaming and release agent, fiber treatment agent, defoamer, cosmetic raw material, and water-based and paint additive; and anti-fouling additive, paper release agent, flameretardant, silicone PSA and resin, coupling agent, organic silicone powder, antistatic agent, silicate compound, estone, and acrylic adhesive, as well as resins for non-silicone release agent. The company also provides solid and liquid silicone rubber, polymer conductive polymer ink, microsphere, PTFE membrane, silicone production machinery, and view/light path control film products; and touch panel related material, epoxy resin, RTV I, RTV II, LED, grease, MS-RTV, thermal grease, gap pad/thermal pal, and thermal gel/gap filler products. In addition, it offers sealant and other adhesive products. The company was founded in 1981 and is based in Taipei, Ta…
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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.