Oxford Lane Capital Corp. 6.75% Notes due 2031 (OXLCL)

Key Financials

AI Analysis

AI-generated, general educational analysis — not personal investment advice.

I approach this as a credit instrument, not an equity. The only hard facts are the name—Oxford Lane Capital Corp. 6.75% Notes due 2031—the price of $23.80 at the 2026-10-16 close, and a 52-week range of $23.42 to $24.99. That puts the price about 1.6% above the low and roughly 4.8% below the high. For a Graham-style buyer, that is not enough to establish value. Every quality and safety measure in the dataset is missing: P/E, P/B, EPS, ROE, ROCE, debt-to-equity, revenue growth, profit growth, dividend yield, beta, and even the FairStock Score are N/A. The Lynch category is 'none' because there are only 0 years of filed results and the rule needs 3. I cannot judge the issuer's competitive moat, financial health, or growth trajectory from these figures. The 6.75% coupon and 2031 maturity are visible, but without par, yield-to-maturity, interest coverage, covenants, or credit quality, I cannot calculate a margin of safety. A narrow 52-week range may look calm, but a note near its low can reflect either opportunity or credit/rate anxiety; the data do not distinguish. My conclusion is disciplined: the security has a defined coupon and maturity, but the evidence provided is insufficient for a value judgment. I would require filed financials, a multiyear record, and credit metrics before calling it cheap, fair, or expensive. Price alone is not value.

In plain English: This is a loan-like investment from Oxford Lane Capital Corp. that pays 6.75% interest and comes due in 2031. The information given does not include the company's profits, debt, or other basics, so I cannot tell whether the business is strong or weak. At $23.80, the price is close to the low end of its recent range, but without more numbers I cannot say if it is cheap, fair, or expensive.

The full AI analysis, bull and bear case and key monitorables are in FairStock Pro.

Data as of 2026-10-16 close · note generated 2026-10-20 · model deepseek-flash

Fundamentals from company filings and market-data providers; prices are end-of-day, not real-time. AI-generated analysis is general and educational — not personal investment advice. Scoring methodology · Score test · Disclaimer