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Realia Properties Inc (RLP) Fair Value & Analysis

Real Estate · CA · Market cap C$5.1M

PriceC$0.0200
Fair ValueC$0.0220
Upside+10.0%
Quality80/100
Evidence: Medium Range C$0.0220 – C$0.0260

Fair value as of: Jun 26, 2026

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Analysis

Realia Properties Inc (RLP) currently trades at C$0.0200, while our model-based Fair Value estimate is C$0.0220 — implying the stock looks roughly 10.0% 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

Realia Properties Inc. engages in the ownership of real property interests in the United States. It owns interests in three shopping centers. The company was formerly known as TitanStar Properties Inc. and changed its name to Realia Properties, Inc. in October 2019. Realia Properties Inc. was incorporated in 2008 and is based in Toronto, Canada.

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Frequently asked questions

Is Realia Properties Inc (RLP) undervalued?
As of Jun 26, 2026, our model estimates a fair value of C$0.0220 versus a price of C$0.0200 — about +10% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RLP?
Our 21-model fair value for Realia Properties Inc is C$0.0220 (as of Jun 26, 2026), built from audited fundamentals. The current price is C$0.0200.
What is the quality score of RLP?
Realia Properties Inc 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.