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Stack Capital Group (STCGF) Fair Value & Analysis

Financial Services · US · Market cap $219M

Price$15.23
Fair Value$13.77
Upside-9.6%
Quality95/100
Evidence: Medium Range $10.33 – $17.21

Fair value as of: Jun 26, 2026

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Analysis

Stack Capital Group (STCGF) currently trades at $15.23, while our model-based Fair Value estimate is $13.77 — implying the stock looks roughly 9.6% 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: medium).

About the company

Stack Capital Group Inc. is public investment firm engaged in private Equity and venture capital specializing in Pre-IPO, early stage, mid stage, late stage and growth stages of a company. The firm is seeking to investing USA and Canada. Stack Capital Group was formed in 2021 and is based in Toronto, Canada.

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Frequently asked questions

Is Stack Capital Group (STCGF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $13.77 versus a price of $15.23 — about −10% (overvalued). Model-based estimate, not financial advice.
What is the fair value of STCGF?
Our 21-model fair value for Stack Capital Group is $13.77 (as of Jun 26, 2026), built from audited fundamentals. The current price is $15.23.
What is the quality score of STCGF?
Stack Capital Group 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.