Konecranes Plc (KNCRF) Fair Value & Analysis
Industrials · US · Market cap $7.5B
Analysis
Konecranes Plc (KNCRF) currently trades at $31.41, while our model-based Fair Value estimate is $39.54 — implying the stock looks roughly 25.9% 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
Konecranes Plc manufactures, sells, and services material handling products in Europe, the Middle East, Africa, the Americas, and the Asia-Pacific. It operates through three segments: Industrial Service, Industrial Equipment, and Port Solutions. The Industrial Service segment provides maintenance services for various industrial cranes and hoists. The Industrial Equipment segment offers industrial cranes and wire rope hoists, crane manufacturing components, digital controls, and software and automation; chain hoists, workstation lifting systems, overhead cranes, and cranes and hoists for hazardous environments. The Port Solutions segment provides equipment, services and software, and products, such as ship-to shore cranes, yard cranes, lift trucks, mobile harbor cranes, straddle carriers, and automated guided vehicles. It also offers maintenance, repair and digital services, and spare parts for the container handling industry. It serves general manufacturing metals production, power …
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.