Kayne Anderson BDC, Inc (KBDC) Fair Value & Analysis
Financial Services · US · Market cap $917M
Fair value as of: Jun 25, 2026
Analysis
Kayne Anderson BDC, Inc (KBDC) currently trades at $13.75, while our model-based Fair Value estimate is $23.42 — implying the stock looks roughly 70.3% 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
Kayne Anderson BDC, Inc. is business development company and an externally managed, closed-end, non-diversified management investment company that intends to elect to be regulated as a BDC under the 1940 Act. The fund seeks to make investments in middle-market companies. It also makes debt investments in middle-market companies and investing primarily in first lien senior secured, unitranche, and split-lien loans to privately held middle-market companies. The fund considers between 80% and 90% of its portfolio (including investments purchased with proceeds from borrowings) will be invested in first lien senior secured, unitranche and split-lien term loans. The remaining 10% to 20% of its portfolio will be invested in higher-yielding investments, including, but not limited to, second lien loans, last-out or subordinated loans, non-investment grade broadly syndicated leveraged loans, high-yield bonds, structured products (including CLO liabilities), real estate related debt securities…
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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.