Rand Capital Corporation (RAND) Fair Value & Analysis
Financial Services · US · Market cap $30.5M
Fair value as of: Jun 26, 2026
Analysis
Rand Capital Corporation (RAND) currently trades at $10.20, while our model-based Fair Value estimate is $4.43 — implying the stock looks roughly 56.6% 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: low).
About the company
Rand Capital Corporation is a business development company specializing in subordinated debt with warrants or preferred equity and venture capital investments. Within private equity, the firm specializing in capital growth and lower middle market investments. Within venture capital, it specializing in early to late-stage private businesses. It does not prefer to invest in real estate sector. It prefers to invest in software, professional services, manufacturing, consumer, healthcare, automotive and public d stocks. It prefers to invest in East or Midwest U.S. operations sectors. It typically invests between $0.75 million and $5 million with initial target size of $1.5 million. It seeks to invest in companies having more than $10 million in revenue or having excess of $1.5 million and up to $5 million in EBITDA. It prefers to be a minority stake and seeks to take a Board seat in its portfolio companies. It typically holds its investments for a period up to five years.
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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.