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Palmer Square Capital BDC Inc (PSBD) Fair Value & Analysis

Financial Services · US · Market cap $335M

Price$10.80
Fair Value$21.60
Upside+100.0%
Quality95/100
Evidence: Medium Range $11.99 – $29.73

Fair value as of: Jun 26, 2026

Analysis

Palmer Square Capital BDC Inc (PSBD) currently trades at $10.80, while our model-based Fair Value estimate is $21.60 — implying the stock looks roughly 100.0% 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: medium) — always confirm before acting.

About the company

Palmer Square Capital BDC Inc. is a business development company specializing in direct investment. The Fund prefers to invest in corporate debt securities, collateralized loan obligation, and structured credit. The Fund prefers to invest in the United States.

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Frequently asked questions

Is Palmer Square Capital BDC Inc (PSBD) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $21.60 versus a price of $10.80 — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of PSBD?
Our 21-model fair value for Palmer Square Capital BDC Inc is $21.60 (as of Jun 26, 2026), built from audited fundamentals. The current price is $10.80.
What is the quality score of PSBD?
Palmer Square Capital BDC Inc has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.