PT Pelita Teknologi Global Tbk (CHIP) Fair Value & Analysis
Communication Services · ID · Market cap 725B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Pelita Teknologi Global Tbk (CHIP) currently trades at 960.00 IDR, while our model-based Fair Value estimate is 99.16 IDR — implying the stock looks roughly 89.7% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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
PT Pelita Teknologi Global Tbk operates as a connectivity technology company in Indonesia. The company provides connectivity products, including SIM cards, smart cards, scratch cards, packaging, and e-SIMs; and business applications and IT solutions, including Pelita Hajj application for Hajj pilgrims, warehouse management systems, enterprise resource planning solutions, order management solutions, audit systems, accounting systems, and other applications. It also offers IoT and AI offerings include Pelita Biodrone to support various industries such as forestry, mining, and other environmental areas; fleet management systems; and asset management systems. In addition, the company provides customer insights and engagement solutions, including customer relationship management services. The company was founded in 2017 and is headquartered in Tangerang, Indonesia. PT Pelita Teknologi Global Tbk is a subsidiary of PT Karya Permata Berkat Jaya.
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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.