PT Informasi Teknologi Indonesia Tbk (JATI) Fair Value & Analysis
Technology · ID · Market cap 290B IDR
Fair value as of: Jun 24, 2026
Analysis
PT Informasi Teknologi Indonesia Tbk (JATI) currently trades at 99.00 IDR, while our model-based Fair Value estimate is 36.50 IDR — implying the stock looks roughly 63.1% overvalued today. We read business quality at 84/100 (high quality), in the Technology 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 Informasi Teknologi Indonesia Tbk operates as a technology solutions company in Indonesia. The company operates through SMS Broadcast, Whatsapp, and Other Services segments. Its products portfolio includes WhatsApp Business API; BerandaToko, a chat commerce application; CPRO, a CRM system; Coster, a helpdesk ticketing system; Jessie, a chat commerce solution; SMS Broadcast, a SMS broadcast provider; email blast applications; automated chatbot support services using artificial intelligence (AI); SMS location-based advertising services; and mobile applications and systems development solutions. It serves companies operating in various sectors, including telecommunications, banking, insurance, multi finance, financial technology, retail distribution, consumer goods, electronic trading, travel services, hospitality, government, logistics, and automotive. The company was founded in 2002 and is based in Jakarta Selatan, Indonesia. PT Informasi Teknologi Indonesia Tbk operates as a subs…
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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.