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PT Techno9 Indonesia Tbk (NINE) Fair Value & Analysis

Technology · ID · Market cap 134B IDR

Price76.00 IDR
Fair Value49.50 IDR
Upside-34.9%
Quality84/100
Evidence: Medium Range 37.13 IDR – 61.88 IDR

Fair value as of: Jun 24, 2026

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Analysis

PT Techno9 Indonesia Tbk (NINE) currently trades at 76.00 IDR, while our model-based Fair Value estimate is 49.50 IDR — implying the stock looks roughly 34.9% 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 Techno9 Indonesia Tbk engages in the wholesale trading of computers and computer equipment. The company offers IT managed services, such as asset management, datacenter management, desktop management, service desk, and network management; and various hardware and software supporting traditional infrastructure, converged infrastructure, and hyper-converged infrastructure. It also provides network cable installation services and surveillance solutions. The company was founded in 2010 and is based in Jakarta Barat, Indonesia.

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Frequently asked questions

Is PT Techno9 Indonesia Tbk (NINE) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 49.50 IDR versus a price of 76.00 IDR — about −35% (overvalued). Model-based estimate, not financial advice.
What is the fair value of NINE?
Our 21-model fair value for PT Techno9 Indonesia Tbk is 49.50 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 76.00 IDR.
What is the quality score of NINE?
PT Techno9 Indonesia Tbk has a Quality Score of 84/100, 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.