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Global Self Storage, Inc (SELF) Fair Value & Analysis

Real Estate · US · Market cap $59.2M

Price$5.09
Fair Value$3.03
Upside-40.5%
Quality95/100
Evidence: High Range $2.92 – $3.79

Fair value as of: Jun 26, 2026

Analysis

Global Self Storage, Inc (SELF) currently trades at $5.09, while our model-based Fair Value estimate is $3.03 — implying the stock looks roughly 40.5% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Global Self Storage, Inc. is a self-administered and self-managed REIT that owns, operates, manages, acquires, and redevelops self-storage properties. Its self-storage properties are designed to offer affordable, easily accessible and secure storage space for residential and commercial customers. Through its wholly owned subsidiaries, the company owns and/or manages 13 self-storage properties in Connecticut, Illinois, Indiana, New York, Ohio, Pennsylvania, South Carolina, and Oklahoma. Global Self Storage, Inc. was incorporated in 1983 in Maryland, USA.

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Frequently asked questions

Is Global Self Storage, Inc (SELF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $3.03 versus a price of $5.09 — about −40% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SELF?
Our 21-model fair value for Global Self Storage, Inc is $3.03 (as of Jun 26, 2026), built from audited fundamentals. The current price is $5.09.
What is the quality score of SELF?
Global Self Storage, 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.