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CryptoStar Corp (CSTR) Fair Value & Analysis

Financial Services · CA · Market cap C$2.3M

PriceC$0.0050
Fair ValueC$0.0100
Upside+100.0%
Quality95/100
Evidence: Low

Fair value as of: Jun 23, 2026

Analysis

CryptoStar Corp (CSTR) currently trades at C$0.0050, while our model-based Fair Value estimate is C$0.0100 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

CryptoStar Corp., together with its subsidiaries, operates data centers in Canada and the United States. It operates through three segments: Self-Mining, Hosting, and Miner Sales. The company operates in the distributed ledger technology space, utilizing specialized equipment to perform computationally intensive cryptographic operations to validate transactions on the Blockchain, as well as receives digital currencies such as Bitcoin and Ethereum. It also offers equipment hosting services and sells miners to customers. CryptoStar Corp. is headquartered in Toronto, Canada.

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Frequently asked questions

Is CryptoStar Corp (CSTR) undervalued?
As of Jun 23, 2026, our model estimates a fair value of C$0.0100 versus a price of C$0.0050 — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CSTR?
Our 21-model fair value for CryptoStar Corp is C$0.0100 (as of Jun 23, 2026), built from audited fundamentals. The current price is C$0.0050.
What is the quality score of CSTR?
CryptoStar Corp 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.