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Imperial Equities Inc (IEI) Fair Value & Analysis

Real Estate · CA · Market cap C$36.4M

PriceC$4.25
Fair ValueC$9.08
Upside+113.6%
Quality95/100
Evidence: High Range C$9.05 – C$10.94

Fair value as of: Jun 26, 2026

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Analysis

Imperial Equities Inc (IEI) currently trades at C$4.25, while our model-based Fair Value estimate is C$9.08 — implying the stock looks roughly 113.6% 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

Imperial Equities Inc., together with its subsidiaries, engages in the acquisition, development, redevelopment, leasing, and sale of industrial, agricultural, and commercial properties primarily in Canada. Imperial Equities Inc. was incorporated in 1996 and is headquartered in Edmonton, Canada.

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Frequently asked questions

Is Imperial Equities Inc (IEI) undervalued?
As of Jun 26, 2026, our model estimates a fair value of C$9.08 versus a price of C$4.25 — about +114% (undervalued). Model-based estimate, not financial advice.
What is the fair value of IEI?
Our 21-model fair value for Imperial Equities Inc is C$9.08 (as of Jun 26, 2026), built from audited fundamentals. The current price is C$4.25.
What is the quality score of IEI?
Imperial Equities 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.