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Based in Chicago, Illinois, Horizon Group (HGPI) Fair Value & Analysis

Real Estate · US · Market cap $22.6M

Price$2.31
Fair Value$4.62
Upside+100.0%
Quality80/100
Evidence: Medium Range $3.78 – $5.59

Fair value as of: Jun 26, 2026

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Analysis

Based in Chicago, Illinois, Horizon Group (HGPI) currently trades at $2.31, while our model-based Fair Value estimate is $4.62 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 80/100 (high quality), in the Real Estate 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: medium) — always confirm before acting.

About the company

Based in Chicago, Illinois, Horizon Group Properties, Inc. has 12 operating factory outlet centers and one power center in 10 states totaling more than 2.6 million square feet.

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Frequently asked questions

Is Based in Chicago, Illinois, Horizon Group (HGPI) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $4.62 versus a price of $2.31 — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of HGPI?
Our 21-model fair value for Based in Chicago, Illinois, Horizon Group is $4.62 (as of Jun 26, 2026), built from audited fundamentals. The current price is $2.31.
What is the quality score of HGPI?
Based in Chicago, Illinois, Horizon Group has a Quality Score of 80/100, 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.