MS Industrie AG (MSAG) Fair Value & Analysis
Consumer Cyclical · DE · Market cap €40.4M
Fair value as of: Jun 25, 2026
Analysis
MS Industrie AG (MSAG) currently trades at €1.30, while our model-based Fair Value estimate is €2.23 — implying the stock looks roughly 71.5% undervalued today. We read business quality at 92/100 (high quality), in the Consumer Cyclical 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: low) — always confirm before acting.
About the company
MS Industrie AG primarily operates in the powertrain and ultrasonic technology businesses in Germany and internationally. It designs, develops, and manufactures automotive components and systems for engines. The company also offers services in the field of ultrasonic technologies for the automotive, textile, medical technology, consumer goods, and other industries, such as customer-specific and turnkey special ultrasonic machines; servo presses for welding, sealing, cutting, separating welding, and punching; and systems and components comprising generators and converters, amplitude transformers and sonotrodes, feed units, and manual ultrasonic welding units. In addition, it provides corporate finance, controlling and reporting, risk management, corporate governance, and transaction advisory services. Further, the company produces electric motors and associated components, centrifugal fans and blowers, and e-mobility drives for refrigeration logistics, textile machinery, pumps, lifti…
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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.