PT Autopedia Sukses Lestari Tbk (ASLC) Fair Value & Analysis
Consumer Cyclical · ID · Market cap 688B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Autopedia Sukses Lestari Tbk (ASLC) currently trades at 60.00 IDR, while our model-based Fair Value estimate is 72.63 IDR — implying the stock looks roughly 21.1% undervalued today. We read business quality at 92/100 (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 Autopedia Sukses Lestari Tbk engages in the auction of two and four-wheeled vehicles under the BidWin brand name in Indonesia and internationally. The company is also involved in the retail sale of new and used cars, including vehicles comprising ambulances, caravans, minibuses, firetrucks, lorries, trailers, semi-trailers, and various other motorized transport vehicles; and retail sale of used motorcycles, such as bicycles or mopeds. In addition, it engages in the publishing of software; operation of commercial purpose web portals and/or digital platforms; and provision of business consulting and brokerage services, as well as pawning services. The company was formerly known as PT Adi Sarana Lelang and changed its name to PT Autopedia Sukses Lestari Tbk in September 2021. The company was founded in 2013 and is headquartered in Jakarta Selatan, Indonesia. PT Autopedia Sukses Lestari Tbk operates as a subsidiary of PT Adi Sarana Armada Tbk.
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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.