Schneider Electric S.E. (SBGSY) Fair Value & Analysis
Industrials · US · Market cap $180B
Analysis
Schneider Electric S.E. (SBGSY) currently trades at $63.69, while our model-based Fair Value estimate is $28.91 — implying the stock looks roughly 54.6% 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: high).
About the company
Schneider Electric S.E. engages in the energy management and industrial automation businesses worldwide. The company offers inverters, mounting frames, solar panels, other solar equipment, wind farm microgrid, and others; building management systems; power metering systems for buildings; smart monitoring and regulation of electricity or heat in buildings, such as thermostats and controls for lighting systems; cooling systems; insulating products; UPS; transmission and distribution wiring devices for wiring electrical circuits; low voltage electrical products, equipment, and systems; medium voltage switchgears and control gears; demand response and load shifting equipment, systems, and services; communication, software and control equipment, products, systems, and services for energy; and variable speed drives. It also provides modernization and maintenance services for rail transport infrastructure, zero-emissions road transport, infrastructure required for operating urban transport…
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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.