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KR1 Plc (KROEF) Fair Value & Analysis

Financial Services · US · Market cap $22.6M

Price$0.1240
Fair Value$0.0700
Upside-43.5%
Quality95/100
Evidence: Low Range $0.0400 – $0.0800

Fair value as of: Jun 26, 2026

Analysis

KR1 Plc (KROEF) currently trades at $0.1240, while our model-based Fair Value estimate is $0.0700 — implying the stock looks roughly 43.5% 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

KR1 Plc operates as a digital asset company in Isle of Man. It focuses on the infrastructure layer of decentralized networks by securing Ethereum and other networks to compound its asset based on strategic investments. The company was formerly known as Kryptonite 1 plc and changed its name to KR1 Plc in February 2018. KR1 Plc was incorporated in 2006 and is based in Douglas, Isle of Man.

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Frequently asked questions

Is KR1 Plc (KROEF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0700 versus a price of $0.1240 — about −44% (overvalued). Model-based estimate, not financial advice.
What is the fair value of KROEF?
Our 21-model fair value for KR1 Plc is $0.0700 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.1240.
What is the quality score of KROEF?
KR1 Plc 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.