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PT Wira Global Solusi Tbk, (WGSH) Fair Value & Analysis

Technology · ID · Market cap 265B IDR

Price106.00 IDR
Fair Value26.26 IDR
Upside-75.2%
Quality94/100
Evidence: High Range 19.70 IDR – 32.83 IDR

Fair value as of: Jun 24, 2026

Analysis

PT Wira Global Solusi Tbk, (WGSH) currently trades at 106.00 IDR, while our model-based Fair Value estimate is 26.26 IDR — implying the stock looks roughly 75.2% overvalued today. We read business quality at 94/100 (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: high).

About the company

PT Wira Global Solusi Tbk, together with its subsidiaries, engages in the information technology industry in Indonesia. The company operates in two segments, Programming Services and Software Development; and Consultancy Services. It also engages in the wholesale and retail trading of communication and information products; real estate, and professional, scientific and technical activities; and financial and investment activities. PT Wira Global Solusi Tbk was founded in 2015 and is headquartered in Cempaka Putih, Indonesia.

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Frequently asked questions

Is PT Wira Global Solusi Tbk, (WGSH) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 26.26 IDR versus a price of 106.00 IDR — about −75% (overvalued). Model-based estimate, not financial advice.
What is the fair value of WGSH?
Our 21-model fair value for PT Wira Global Solusi Tbk, is 26.26 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 106.00 IDR.
What is the quality score of WGSH?
PT Wira Global Solusi Tbk, has a Quality Score of 94/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.