Clarke Inc (CLKFF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $240M
Fair value as of: Jun 26, 2026
Analysis
Clarke Inc (CLKFF) currently trades at $18.50, while our model-based Fair Value estimate is $9.19 — implying the stock looks roughly 50.3% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high).
About the company
Clarke Inc. is a private equity and venture capital firm specializing in investments in middle market, turnaround, PIPEs, bridge financing, recapitalization, and buyout companies. It invests in undervalued or underperforming businesses with hard assets. It invests in companies, securities or other assets such as real estate, which can be public or private entities. The firm primarily invests equity, debt and other securities. It invests in industries that have hard assets, including manufacturing, industrial, energy, materials, and real estate businesses. The firm invests in debt and equity securities of companies engaged in the oil and gas industry. It prefers to purchase well-priced equity securities rather than well-priced debt securities, and securities of oil service firms rather than E&P firms. The firm primarily invests in companies in Canada and United states of America. It seeks active involvement in the governance and/or management of the company it invests in. The firm ma…
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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.