ERAL (ERAL) Fair Value & Analysis
Consumer Cyclical · ID · Market cap 1.2T IDR
Fair value as of: Jun 25, 2026
Analysis
ERAL (ERAL) currently trades at 278.00 IDR, while our model-based Fair Value estimate is 603.72 IDR — implying the stock looks roughly 117.2% 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 Sinar Eka Selaras Tbk distributes and retails lifestyle products and solutions of various brands in Indonesia. The company operates through Accessories, IoT and Others; Cellular Phones and Tablets; Computer & Other Electronic Devices; Fashion Apparel; and Automotive segments. Its accessory products include casings and covers, earphones, chargers, data cables, power banks, protective skins, consoles, game accessories, and other peripherals; and IoT products comprise smart home appliances, such as robots, vacuum cleaners, smart air purifiers, smart CCTVs, smart door locks, etc., as well as smart watches, handheld navigation systems, electric scooters, Bluetooth speakers, and drones. The company also offers sneakers, running shoes, polo shirts, sports t-shirts and trousers, soccer equipment, hats, backpacks, and other products, as well as private label products. In addition, it engages in the assembling of automobiles and the battery for electricity motor vehicles. PT Sinar Eka Sela…
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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.