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Maxim Power Corp (MXGFF) Fair Value & Analysis

Utilities · US · Market cap $201M

Price$3.17
Fair Value$3.17
Upside+0.2%
Quality95/100
Evidence: High Range $2.49 – $3.86

Fair value as of: Jun 24, 2026

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Analysis

Maxim Power Corp (MXGFF) currently trades at $3.17, while our model-based Fair Value estimate is $3.17 — implying the stock looks roughly 0.2% undervalued today. We read business quality at 95/100 (high quality), in the Utilities 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

Maxim Power Corp., an independent power producer, develops, owns, and operates power and power related projects in Canada. It operates Milner power plant(M2), a 300 MW combined cycle gas-fired power plant located in Grande Cache, Alberta. The company is headquartered in Calgary, Canada.

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Frequently asked questions

Is Maxim Power Corp (MXGFF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $3.17 versus a price of $3.17 — about +0% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MXGFF?
Our 21-model fair value for Maxim Power Corp is $3.17 (as of Jun 24, 2026), built from audited fundamentals. The current price is $3.17.
What is the quality score of MXGFF?
Maxim Power Corp 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.