JOST Werke SE (JST) Fair Value & Analysis
Consumer Cyclical · DE · Market cap €969M
Analysis
JOST Werke SE (JST) currently trades at €54.30, while our model-based Fair Value estimate is €79.73 — implying the stock looks roughly 46.8% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
JOST Werke SE manufactures and supplies safety-critical systems for the commercial vehicle industry in Germany, Europe, he Middle East, Africa, the America, the Aisa Pacific, and Africa. The company provides truck and trailer components, including sensor systems and lubetonic systems, fifth wheel couplings and mounting plates, dual-height fifth wheel systems, sliders, kingpins, ball bearing turntables and slewing rings, landing gear, and hubodometers and axle caps; container equipment, such as components for intermodal transports, corner casting, twist locks, bolsters, airbag lifting devices, and spare wheel holders; and axle systems and its spare parts. It offers products for commercial vehicles comprising towing hitches, hook couplings, traverses, varioblocs, adapter hitches, towing balls and eyes; products for agriculture and forestry applications, including towing and ball hitches, drawbars, piton fixes, ladders, calotte and towing eyes, hitch support, and accessories. In additi…
Open the full interactive analysis →
Similar stocks
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.