Sesoda Corporation (1708) Fair Value & Analysis
Basic Materials · TW · Market cap 12.0B TWD
Fair value as of: Jun 24, 2026
Analysis
Sesoda Corporation (1708) currently trades at 52.20 TWD, while our model-based Fair Value estimate is 55.84 TWD — implying the stock looks roughly 7.0% undervalued today. We read business quality at 95/100 (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
Sesoda Corporation manufactures and markets sulfate of potash (SOP) in Taiwan. The company offers standard, soluble, low chloride, granular, and industrial grade SOP products that are used for grapes, citrus, flowers, tobacco and anaerobic crops; and hydrochloric acid for use in the metallurgical, chemical, food, and pharmaceutical industries. It also provides liquid calcium chloride for use in fluoride ion removal before wastewater discharge in the electronic and optoelectronic industries; and calcium sulfate for use in the industrial production of cement and chalk. In addition, the company trades in soda ash, baking soda, flake calcium chloride, ammonium powder, calcium dihydrogen phosphate, potassium chloride, solar salt, liquid caustic soda, hydrogen peroxide, glaubers's salt, barium chloride, and sodium sesquicarbonate. Further, it involved in ship operations and chartering services; electronic component manufacturing, data storage media manufacturing and copying, and general i…
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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.