La Kaffa International Co (2732) Fair Value & Analysis
Consumer Defensive · TW · Market cap 2.9B TWD
Fair value as of: Jun 24, 2026
Analysis
La Kaffa International Co (2732) currently trades at 64.20 TWD, while our model-based Fair Value estimate is 37.58 TWD — implying the stock looks roughly 41.5% overvalued today. We read business quality at 85/100 (high quality), in the Consumer Defensive 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: medium).
About the company
La Kaffa International Co., Ltd. operates franchise of chain restaurants in Taiwan, rest of Asia, Europe, Australia, the United States, and Africa. It operates restaurants that offers hand-rocked tea and beverages, bakery and confectionery, English light meals, traditional snacks and ices, Japanese pork chops, beef noodle, deep-fried steak, and Japanese dumplings. The company sells its products under the Chatime, Merry Pho, Pudding cake, Engolili, Bake Code, Apricot Japanese Pork Chop, Duan Junzhen Beef Noodles, Osaka Wangsho, Kyoto Katsuhito, Tiger's Bowl, GOMAX, Fruit and Wheat De Fresh Drink Creation, Juice Tea, heilongtang, lvatea, and Green Chilli brands. La Kaffa International Co., Ltd. was founded in 1993 and is based in Zhubei City, Taiwan.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is La Kaffa International Co (2732) undervalued?
What is the fair value of 2732?
What is the quality score of 2732?
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.