Logwin AG (TGHN) Fair Value & Analysis
Industrials · DE · Market cap €772M
Analysis
Logwin AG (TGHN) currently trades at €270.00, while our model-based Fair Value estimate is €487.76 — implying the stock looks roughly 80.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Logwin AG provides logistics and transport solutions in Germany, Austria, rest of European Union, the Asia/Pacific, and internationally. It operates in two segments, Air + Ocean and Solution. The Air + Ocean segment offers logistics and forwarding solutions, such as intercontinental air and ocean freight, and upstream and downstream value-added services. The Solutions segment is involved in contract logistics and supply chain management; develops customized logistics solutions for companies in the consumer goods, retail, and fashion sectors, as well as for industrial contract logistics, including chemicals and hazardous goods. This segment also provides supply chain services comprising transport and freight forwarding solutions, warehousing, value added logistics services, and the implementation of outsourcing projects. In addition, the company offers project logistics, air charter OBC, ship parts logistics, and China rail services. It serves Industrial engineering, automotive, chem…
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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.