PT Aspirasi Hidup Indonesia Tbk (ACEHF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $538M
Analysis
PT Aspirasi Hidup Indonesia Tbk (ACEHF) currently trades at $0.0314, while our model-based Fair Value estimate is $0.0800 — implying the stock looks roughly 154.8% undervalued today. We read business quality at 94/100 (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: high) — always confirm before acting.
About the company
PT Aspirasi Hidup Indonesia Tbk engages in the retail of home improvement products in Indonesia. The company operates through Home Improvement Products, Lifestyle Products, and Toys Products segments. It offers bathroom and laundry, renovation and household equipment, electronics, and lamp and bulbs; kitchen, hobby and lifestyle, home accents, Olahraga dan outdoor, automotive, and cleaning tools; and toys. The company also engages in trading; real estate; transportation and warehousing; accommodation and food and beverage services; and information and communication business. It operates retail outlets under the AZKO, ATARU, Pendopo, and Toys Kingdom brands, as well as online shopping sites under the ruparupa brand. The company was formerly known as PT Ace Hardware Indonesia Tbk and changed its name to PT Aspirasi Hidup Indonesia Tbk in June 2024. PT Aspirasi Hidup Indonesia Tbk was founded in 1995 and is headquartered in Jakarta, Indonesia. PT Aspirasi Hidup Indonesia Tbk is a subsi…
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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.