BlackRock TCP Capital Corp (TCPC) Fair Value & Analysis
Financial Services · US · Market cap $271M
Fair value as of: Jun 26, 2026
Analysis
BlackRock TCP Capital Corp (TCPC) currently trades at $3.14, while our model-based Fair Value estimate is $4.78 — implying the stock looks roughly 52.2% 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
BlackRock TCP Capital Corp. is a business development company specializing in direct equity and debt investments in middle-market, small businesses, debt securities, senior secured loans, junior loans, originated loans, mezzanine, senior debt instruments, bonds, and secondary-market investments. It typically invests in communication services, public relations services, television, wireless telecommunication services, apparel, textile mills, restaurants, retailing, energy, oil and gas extraction, Patent owners and Lessors, Federal and Federally- Sponsored Credit agencies, insurance, hospital and healthcare centers, Biotechnology, engineering services, heavy electrical equipment, tax accounting, scientific and related consulting services, charter freight air transportation, Information technology consulting, application hosting services, software diagram and design, computer aided design, communication equipment, electronics manufacturing equipment, computer components, chemicals. It …
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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.