STS Group (SF3) Fair Value & Analysis
Consumer Cyclical · DE · Market cap €20.3M
Fair value as of: Jun 25, 2026
Analysis
STS Group (SF3) currently trades at €3.10, while our model-based Fair Value estimate is €2.72 — implying the stock looks roughly 12.1% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
STS Group AG supplies components and systems for the commercial vehicle and automotive industry in Germany, France, Mexico, the United States, and China. The company operates through three segments: Plastics, China, and Materials. It manufactures and sells interior systems and components, such as storage modules, including under bunk storage and upper shelf; exterior components comprising cab side modules, tailgates, rear lamp modules, and roof spoilers; and covers of battery system for electric vehicles for trucks, commercial vehicles, and passenger cars. The company also offers plastic parts for the exterior paneling of vehicles, such as bumpers, front panels, deflectors, roofs, mudguards, and entrances; and develops and produces sheet molding compounds, fiber molding compounds, and advanced fiber molding compounds. In addition, it provides prototyping and logistics services. The company was founded in 2013 and is based in Hagen, Germany. STS Group AG operates as a subsidiary of A…
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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.