Primaris Real Estate Investment Trust (PMREF) Fair Value & Analysis
Real Estate · US · Market cap $2.0B
Fair value as of: Jun 25, 2026
Analysis
Primaris Real Estate Investment Trust (PMREF) currently trades at $14.30, while our model-based Fair Value estimate is $16.56 — implying the stock looks roughly 15.8% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Primaris Real Estate Investment Trust is Canada's only enclosed shopping centre focused REIT. With ownership interests in leading enclosed shopping centres located in growing Canadian markets. The current portfolio totals 15.2 million square feet, valued at approximately 5.2 billion US dollars at Primaris' share. Economies of scale are achieved through its fully internal, vertically integrated, full-service national management platform. Primaris is very well-capitalized and is exceptionally well positioned to take advantage of market opportunities at an extraordinary moment in the evolution of the Canadian retail property landscape. Primaris Real Estate Investment Trust was incorporated in 2021 in Ontario, Canada.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Primaris Real Estate Investment Trust (PMREF) undervalued?
What is the fair value of PMREF?
What is the quality score of PMREF?
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.