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Coincheck Group (CNCK) Fair Value & Analysis

Financial Services · US · Market cap $322M

Price$2.19
Fair Value$1.97
Upside-10.0%
Quality97/100
Evidence: Low Range $1.30 – $2.46

Fair value as of: Jun 26, 2026

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Analysis

Coincheck Group (CNCK) currently trades at $2.19, while our model-based Fair Value estimate is $1.97 — implying the stock looks roughly 10.0% overvalued today. We read business quality at 97/100 (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

Coincheck Group N.V. provides cryptocurrency exchange platform in Japan. It operates Coincheck NFT Marketplace that enables non-fungible tokens to be purchased. It trades in various cryptocurrencies, such as Bitcoin and Ethereum. The company was founded in 2012 and is based in Amsterdam, the Netherlands. Coincheck Group N.V. operates as a subsidiary of Monex Group, Inc.

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Frequently asked questions

Is Coincheck Group (CNCK) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $1.97 versus a price of $2.19 — about −10% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CNCK?
Our 21-model fair value for Coincheck Group is $1.97 (as of Jun 26, 2026), built from audited fundamentals. The current price is $2.19.
What is the quality score of CNCK?
Coincheck Group has a Quality Score of 97/100, 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.