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K33 AB (K33) Fair Value & Analysis

Financial Services · SE · Market cap 313M SEK

Pricekr 0.0301
Fair Valuekr 0.0241
Upside-20.1%
Quality95/100
Evidence: Low Range kr 0.0241 – kr 0.0241

Fair value as of: Jun 26, 2026

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Analysis

K33 AB (K33) currently trades at kr 0.0301, while our model-based Fair Value estimate is kr 0.0241 — implying the stock looks roughly 20.1% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: low).

About the company

K33 AB (publ), through its subsidiaries, trades in and invests in digital assets in Sweden and internationally. The company offers execution, actionable insights, and support to private and institutional partners. The company was formerly known as Arcario AB and changed its name to K33 AB (publ) in December 2024. K33 AB (publ) is headquartered in Stockholm, Sweden.

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Frequently asked questions

Is K33 AB (K33) undervalued?
As of Jun 26, 2026, our model estimates a fair value of kr 0.0241 versus a price of kr 0.0301 — about −20% (overvalued). Model-based estimate, not financial advice.
What is the fair value of K33?
Our 21-model fair value for K33 AB is kr 0.0241 (as of Jun 26, 2026), built from audited fundamentals. The current price is kr 0.0301.
What is the quality score of K33?
K33 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.