Guggenheim Active Allocation Fund Common Shares of Beneficial Interest (GUG)

FairStock Score: 38/100 — MIXED

Key Financials

AI Analysis

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

I approach GUG as a fund, not an operating business. At the 2026-10-13 close of $13.94, FairStock's P/E calculation is 8.45, and its Graham Number comes to $24.88, implying a 43.97% margin of safety. A 10.22% dividend yield is eye-catching, and the shares sit near the bottom of their 52-week range of $13.65-$16.46. On those price-based measures alone, this looks cheap. But Graham demanded quality and stability, not just a low price. The financial-health signals are poor: a Piotroski F-Score of 2/9 and an Altman Z-Score of 0.81. The latter is well below the 1.8 threshold often used to flag distress, and the FairStock Score is only 38/100. I have no P/B, ROE, ROCE, debt-to-equity, revenue growth, profit growth, or beta to test the business, and the Lynch category is none because there are only 0 years of filed results when 3 are needed. That means no multi-year track record. The high yield may compensate patient owners if it is covered and the portfolio holds value, but the data do not let me confirm that. A true moat is not visible here; the fund's results depend on management and markets. My conclusion: statistically cheap, but unproven and financially fragile on the supplied metrics. I would want more filed history, stable distributions, and much stronger balance-sheet scores before trusting the margin of safety.

In plain English: Guggenheim Active Allocation Fund is an investment fund that holds assets and pays out income to shareholders. Based on the numbers provided, it looks cheap compared with its earnings and a value estimate, and it pays a very high dividend. But its financial health scores are weak and there is little history to judge, so the low price may carry real risk.

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Data as of 2026-10-13 close · note generated 2026-10-15 · 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