Schlatter Industries AG (STRN) Fair Value & Analysis
Industrials · CH · Market cap CHF 21.0M
Fair value as of: Jun 24, 2026
Analysis
Schlatter Industries AG (STRN) currently trades at CHF 18.80, while our model-based Fair Value estimate is CHF 13.80 — implying the stock looks roughly 26.6% 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
Schlatter Industries AG manufactures and sells welding and weaving machines worldwide. It offers welding machines for reinforcing and industrial mesh, and industrial fences; wire butt welding machines; flash butt welding machines for rails; wire straightening and cutting machines; turning and stacking products; and MeshStudio, a 3-dimensional drawing program for welded wire mesh, as well as used machineries. The company also provides warp preparation machines; weaving machines for press fabrics, dryer fabrics, and industrial filters; finishing machines for forming, press, and dryer fabrics; wire weaving machines for metal wire fabrics; wire crimping machines for sieves and screens; screen assembly machines for sieves and screens; and weaving machines for heavy technical fabrics under the Jäger brand name. In addition, it offers cold-rolled, multidraft drawing, and stretching/respooling process products. The company was formerly known as Schlatter Holding AG and changed its name to S…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Schlatter Industries AG (STRN) undervalued?
What is the fair value of STRN?
What is the quality score of STRN?
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.