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I-Tech AB (ITECH) Fair Value & Analysis

Basic Materials · SE · Market cap 810M SEK

Pricekr 69.10
Fair Valuekr 60.87
Upside-11.9%
Quality95/100
Evidence: High Range kr 45.65 – kr 76.08

Fair value as of: Jun 24, 2026

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Analysis

I-Tech AB (ITECH) currently trades at kr 69.10, while our model-based Fair Value estimate is kr 60.87 — implying the stock looks roughly 11.9% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

I-Tech AB provides antifouling coating products in Sweden. It offers Selektope, an antifouling solution, which operates by selectively stimulating octopamine receptors in barnacle larvae, triggering a temporary swimming behavior that causes the larva to detach from the treated surface without being harmed. The company was founded in 1990 and is based in Mölndal, Sweden.

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Frequently asked questions

Is I-Tech AB (ITECH) undervalued?
As of Jun 24, 2026, our model estimates a fair value of kr 60.87 versus a price of kr 69.10 — about −12% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ITECH?
Our 21-model fair value for I-Tech AB is kr 60.87 (as of Jun 24, 2026), built from audited fundamentals. The current price is kr 69.10.
What is the quality score of ITECH?
I-Tech AB 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.