Investcorp Credit Management BDC, Inc (ICMB) Fair Value & Analysis
Financial Services · US · Market cap $17.0M
Fair value as of: Jun 26, 2026
Analysis
Investcorp Credit Management BDC, Inc (ICMB) currently trades at $1.19, while our model-based Fair Value estimate is $1.11 — implying the stock looks roughly 6.8% overvalued today. We read business quality at 92/100 (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: high).
About the company
Investcorp Credit Management BDC, Inc. is a business development company specializing in loan, mezzanine, middle market, growth capital, acquisitions, market/product expansion, organic growth, refinancings and recapitalization investments. It also selectively invests in mezzanine loans/structured equity and in the equity of portfolio companies through warrants and other instruments, in most cases taking such upside participation interests as part of a broader investment relationship. The fund typically invests in United States and Europe. Within United States, the fund seeks to invest in Midatlantic, Midwest, Northeast, Southeast, and West Coast regions. The fund primarily invests in cable and satellites; consumer services; healthcare equipment and services; industrials; information technology; telecommunication services; and utilities sectors. The fund seeks to invest between $5 million to $25 million in companies that have annual revenues of at least $50 million with EBITDA at lea…
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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.