PT Sepatu Bata Tbk. (BATA) Fair Value & Analysis
Consumer Cyclical · ID · Market cap 83.2B IDR
Fair value as of: Jun 25, 2026
Analysis
PT Sepatu Bata Tbk. (BATA) currently trades at 61.00 IDR, while our model-based Fair Value estimate is 130.42 IDR — implying the stock looks roughly 113.8% undervalued today. We read business quality at 91/100 (high quality), in the Consumer Cyclical 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: low) — always confirm before acting.
About the company
PT Sepatu Bata Tbk. manufactures and sells footwear products for women, men, and children in Indonesia and internationally. It operates through Retail; E-Commerce; and Wholesale, Industrial and Export - Related Parties segments. The company offers leather shoes and sandals, built-up canvas shoes, casual shoes, sport shoes, injection-molded sandals and slippers, and industrial safety footwear, as well as bags, socks, belts, and shoe care products. It also imports, exports, and distributes footwear. The company sells its products through its stores and online. It serves retail dealers and wholesalers. The company was founded in 1931 and is headquartered in Jakarta Selatan, Indonesia. PT Sepatu Bata Tbk. operates as a subsidiary of Bafin (Nederland) B.V.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is PT Sepatu Bata Tbk. (BATA) undervalued?
What is the fair value of BATA?
What is the quality score of BATA?
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.