Oaktree Specialty Lending Corporation (OCSL) Fair Value & Analysis
Financial Services · US · Market cap $1.0B
Analysis
Oaktree Specialty Lending Corporation (OCSL) currently trades at $11.36, while our model-based Fair Value estimate is $6.55 — implying the stock looks roughly 42.3% 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: high).
About the company
Oaktree Specialty Lending Corporation is a business development company. The fund specializing in investments in middle market, bridge financing, first and second lien debt financing, unsecured and mezzanine loan, mezzanine debt, senior and junior secured debt, expansions, sponsor-led acquisitions, preferred equity, and management buyouts in small and mid-sized companies. It seeks to invest in education services, business services, retail and consumer, healthcare, manufacturing, food and restaurants, construction and engineering. The firm also seeks investment in media, advertising sectors, software, IT services, pharmaceuticals, biotechnology, real estate management and development, chemicals, machinery, and internet and direct marketing retail sectors. It invests between $5 million to $75 million principally in the form of one-stop, first lien, and second lien debt investments, which may include an equity co-investment component in companies. The firm invest in companies having en…
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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.