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Sparta Capital Ltd (SCAXF) Fair Value & Analysis

Industrials · US · Market cap $648K

Price$0.0799
Fair Value$0.0181
Upside-77.4%
Quality80/100
Evidence: Medium Range $0.0176 – $0.0185

Fair value as of: Jun 26, 2026

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Analysis

Sparta Capital Ltd (SCAXF) currently trades at $0.0799, while our model-based Fair Value estimate is $0.0181 — implying the stock looks roughly 77.4% overvalued today. We read business quality at 80/100 (high quality), in the Industrials 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: medium).

About the company

Sparta Capital Ltd. engages in environmental, energy, and health technologies businesses in Canada. It operates through Electronics Recycling and Safety Products Transactions segments. It engages in electronics recycling and reselling and product development in health care. The company was incorporated in 1988 and is headquartered in Toronto, Canada.

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Frequently asked questions

Is Sparta Capital Ltd (SCAXF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0181 versus a price of $0.0799 — about −77% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SCAXF?
Our 21-model fair value for Sparta Capital Ltd is $0.0181 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0799.
What is the quality score of SCAXF?
Sparta Capital Ltd has a Quality Score of 80/100, 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.