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Regency Affiliates, Inc (RAFI) Fair Value & Analysis

Financial Services · US · Market cap $19.0M

Price$4.31
Fair Value$8.35
Upside+93.7%
Quality95/100
Evidence: Low Range $6.23 – $12.46

Fair value as of: Jun 26, 2026

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Analysis

Regency Affiliates, Inc (RAFI) currently trades at $4.31, while our model-based Fair Value estimate is $8.35 — implying the stock looks roughly 93.7% 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: low) — always confirm before acting.

About the company

Regency Affiliates, Inc. operates as a managed real estate company. The company acquires, owns, invests in, and manages a portfolio of commercial real estate; and engages in leasing activities. Its portfolio includes an office complex and self-storage properties. The company was incorporated in 1980 and is based in Larchmont, New York.

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Frequently asked questions

Is Regency Affiliates, Inc (RAFI) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $8.35 versus a price of $4.31 — about +94% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RAFI?
Our 21-model fair value for Regency Affiliates, Inc is $8.35 (as of Jun 26, 2026), built from audited fundamentals. The current price is $4.31.
What is the quality score of RAFI?
Regency Affiliates, 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.