GLVA (GLVA) Fair Value & Analysis
Technology · ID · Market cap 480B IDR
Fair value as of: Jun 24, 2026
Analysis
GLVA (GLVA) currently trades at 328.00 IDR, while our model-based Fair Value estimate is 452.88 IDR — implying the stock looks roughly 38.1% undervalued today. We read business quality at 88/100 (high quality), in the Technology 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: medium) — always confirm before acting.
About the company
PT Galva Technologies Tbk supplies electronic products for corporate clients in Indonesia. It operates through three segments: IT Distribution, Business Solutions, and Document Solutions. It offers commercial display products, such as large-format display screens and digital signage; computers, projectors, and accessories; content creation products, including broadcast systems for TV channels; document solutions, such as document receiving, document scanning, data capture, indexing, policy printing production, document management system, and record management; and alarms, such as fire detection and advanced voice alarm. The company also provides medical devices to capture and view medical images from cameras and 4K surgical monitors; medical documentation products that include recorders, printers, and print media items; pro audio solutions; public address and communication solutions; and security systems, including scalable video and network cameras for security and surveillance app…
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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.