The Gabelli Global Utility & Income Trust (GLU) Fair Value & Analysis
Financial Services · US · Market cap $113M
Fair value as of: Jun 26, 2026
Analysis
The Gabelli Global Utility & Income Trust (GLU) currently trades at $19.03, while our model-based Fair Value estimate is $31.52 — implying the stock looks roughly 65.7% 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
The Gabelli Global Utility & Income Trust is a closed-ended equity mutual fund launched by GAMCO Investors, Inc. It is managed by Gabelli Funds, LLC. The fund invests in public equity markets across the globe. It primarily invests in stocks of companies involved to a substantial extent in providing products, services, or equipment for the generation or distribution of electricity, gas, or water and infrastructure operations, and in equity securities including preferred securities of companies in other industries, in each case in such securities that are expected to pay periodic dividends. The fund also invests in income producing securities such as governments. It invests in stocks of companies across market capitalizations. The fund benchmarks the performance of its portfolio against the S&P 500 Utilities Index, Lipper Utility Fund Average, and S&P 500 Index. The Gabelli Global Utility & Income Trust was formed on May 28, 2004 and is based in United States.
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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.