PennantPark Floating Rate Capital Ltd (PFLT) Fair Value & Analysis
Financial Services · US · Market cap $742M
Analysis
PennantPark Floating Rate Capital Ltd (PFLT) currently trades at $7.18, while our model-based Fair Value estimate is $11.37 — implying the stock looks roughly 58.4% 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: high) — always confirm before acting.
About the company
PennantPark Floating Rate Capital Ltd. is a business development company. It seeks to make secondary direct, debt, equity, and loan investments. The fund seeks to invest through floating rate loans in private or thinly traded or small market-cap, public middle market companies. It primarily invests in the United States and to a limited extent non-U.S. companies. The fund typically invests between $2 million and $20 million. The fund also invests in equity securities, such as preferred stock, common stock, warrants or options received in connection with debt investments or through direct investments. It primarily invests between $10 million and $50 million in investments in senior secured loans and mezzanine debt. It seeks to invest in companies not rated by national rating agencies. The companies if rated would be between BB and CCC under the Standard & Poor's system. The fund invests 30% is invested in non-qualifying assets like investments in public companies whose securities are …
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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.