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Siili Solutions Oyj (SIILI) Fair Value & Analysis

Technology · FI · Market cap €20.4M

Price€2.43
Fair Value€2.31
Upside-4.9%
Quality95/100
Evidence: High Range €1.73 – €3.00

Fair value as of: Jun 24, 2026

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Analysis

Siili Solutions Oyj (SIILI) currently trades at €2.43, while our model-based Fair Value estimate is €2.31 — implying the stock looks roughly 4.9% overvalued today. We read business quality at 95/100 (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

Siili Solutions Oyj provides AI-powered software development in Finland and internationally. The company offers advisory, data and AI, managed services, digital platforms and e-commerce, design services, intelligent automation, custom development, software quality, cloud solutions, and embedded solutions. It serves the banking, industrial, insurance, public, maritime, and other industries. The company was incorporated in 2005 and is based in Helsinki, Finland.

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Frequently asked questions

Is Siili Solutions Oyj (SIILI) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €2.31 versus a price of €2.43 — about −5% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SIILI?
Our 21-model fair value for Siili Solutions Oyj is €2.31 (as of Jun 24, 2026), built from audited fundamentals. The current price is €2.43.
What is the quality score of SIILI?
Siili Solutions Oyj has a Quality Score of 95/100, 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.