SMA Solar Technology AG (SMTGF) Fair Value & Analysis
Technology · US · Market cap $2.0B
Fair value as of: Jun 24, 2026
Analysis
SMA Solar Technology AG (SMTGF) currently trades at $56.54, while our model-based Fair Value estimate is $35.88 — implying the stock looks roughly 36.5% 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: medium).
About the company
SMA Solar Technology AG, together with its subsidiaries, develops, produces, and sells PV and battery inverters, monitoring systems for PV systems, and charging solutions for electric vehicles in Germany and internationally. The company operates in two segments: Home & Business Solutions and Large Scale & Project Solutions. It offers solar and battery inverters, hybrid inverters, system solutions and packages, solar batteries, e-mobility charging solutions, energy management solutions, SMA echarger and commercial storage solutions, and Sunny Tripower X, as well as digital solutions to design, operate, and service PV systems and energy systems. The company serves electric utility companies, independent power producers, project developers and institutional investors, EPCs, system integrators, and grid operators, as well as energy-intensive industries. The company was formerly known as SMA Technologie AG and changed its name to SMA Solar Technology AG in June 2008. SMA Solar Technology…
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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.