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SolarMax Technology, Inc (SMXT) Fair Value & Analysis

Technology · US · Market cap $22.4M

Price$0.3606
Fair Value$0.3000
Upside-16.8%
Quality95/100
Evidence: Low Range $0.1700 – $0.3900

Fair value as of: Jun 24, 2026

Analysis

SolarMax Technology, Inc (SMXT) currently trades at $0.3606, while our model-based Fair Value estimate is $0.3000 — implying the stock looks roughly 16.8% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

SolarMax Technology, Inc., through its subsidiaries, operates as an integrated solar and renewable energy company in the United States. The company engages in the sale and installation of photovoltaic and battery backup systems; sale of LED systems; and identifying and procuring solar farm projects for resale to third parties, as well as provision of engineering, procuring, and construction services for solar farm projects. It serves residential and commercial customers. SolarMax Technology, Inc. was incorporated in 2008 and is based in Riverside, California.

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Frequently asked questions

Is SolarMax Technology, Inc (SMXT) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.3000 versus a price of $0.3606 — about −17% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SMXT?
Our 21-model fair value for SolarMax Technology, Inc is $0.3000 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.3606.
What is the quality score of SMXT?
SolarMax Technology, 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.