SFC Energy AG (SSMFF) Fair Value & Analysis
Industrials · US · Market cap $409M
Fair value as of: Jun 24, 2026
Analysis
SFC Energy AG (SSMFF) currently trades at $22.00, while our model-based Fair Value estimate is $7.18 — implying the stock looks roughly 67.4% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
SFC Energy AG, together with its subsidiaries, develops, produces, and distributes systems and solutions for stationary and mobile off-grid power supply based on hydrogen and direct methanol fuel cells worldwide. The company operates in two segments, Clean Energy and Clean Power Management. It offers EFOY Hydrogen 2.5 fuel cells for higher power ranges; EFOY Hydrogen 5.0 fuel cell, a fuel cell system with a power of 5.0 KW; EFOY Pro, a direct methanol fuel cells for professional users; and EFOY Pro 12000 Duo, direct methanol fuel cells for high energy requirements. In addition, it provides EFOY Lithium Battery and fuel cartridges; power management, including SFC power manager 3G, drives and motor resolutions, power platform, and coil assemblies; as well as offers clean energy solutions for industrial, consumer, and defense and public security. The company also provides drives and motor solutions; measurements and instruments; SCADA and telemetry solutions; and coils and linear drive…
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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.