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Clipper Realty Inc (CLPR) Fair Value & Analysis

Real Estate · US · Market cap $135M

Price$3.07
Fair Value$4.99
Upside+62.5%
Quality89/100
Evidence: Medium Range $2.96 – $6.51

Fair value as of: Jun 26, 2026

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Analysis

Clipper Realty Inc (CLPR) currently trades at $3.07, while our model-based Fair Value estimate is $4.99 — implying the stock looks roughly 62.5% undervalued today. We read business quality at 89/100 (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

Clipper Realty Inc. is a self-administered and self-managed real estate company that acquires, owns, manages, operates, and repositions multifamily residential and commercial properties in the New York metropolitan area, with a portfolio in Manhattan and Brooklyn. Clipper Realty Inc. was established on July 07, 2015 and incorporated in Maryland.

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Frequently asked questions

Is Clipper Realty Inc (CLPR) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $4.99 versus a price of $3.07 — about +63% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CLPR?
Our 21-model fair value for Clipper Realty Inc is $4.99 (as of Jun 26, 2026), built from audited fundamentals. The current price is $3.07.
What is the quality score of CLPR?
Clipper Realty Inc has a Quality Score of 89/100, 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.