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LOTTE Fine Chemical Co (004000) Fair Value & Analysis

Basic Materials · KR · Market cap 1.2T KRW

Price44,300 KRW
Fair Value54,050 KRW
Upside+22.0%
Quality95/100
Evidence: High Range 37,835 KRW – 70,265 KRW

Analysis

LOTTE Fine Chemical Co (004000) currently trades at 44,300 KRW, while our model-based Fair Value estimate is 54,050 KRW — implying the stock looks roughly 22.0% 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

LOTTE Fine Chemical Co., Ltd. manufactures and sells chemical products in South Korea, the rest of Asia, North America, Europe, and internationally. The company offers chlorine relatives, including epichlorohydrin, caustic soda, tetramethyl ammonium chloride, 3-Chloro-2-Hydroxypropyl trimethylammonium chloride, methyl chloride, methylene chloride, methaclean, chloroform, sodium hypochlorite, and hydrochloric acid; ammonia relatives comprising urea solution, ammonia, monomethylamine, dimethylamine, trimethylamine, and trimethylamine-HCL; and toners for printers. It provides green materials, such as cellulose products, under the MECELLOSE, HECELLOSE, AnyCoat, and AnyAddy brand names. LOTTE Fine Chemical Co., Ltd. was formerly known as SAMSUNG Fine Chemicals Co., Ltd. and changed its name to LOTTE Fine Chemical Co., Ltd. in 2016. LOTTE Fine Chemical Co., Ltd. was incorporated in 1964 and is based in Ulsan, South Korea.

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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.