Krones AG (KRNNF) Fair Value & Analysis
Industrials · US · Market cap $4.2B
Fair value as of: Jun 24, 2026
Analysis
Krones AG (KRNNF) currently trades at $134.15, while our model-based Fair Value estimate is $225.80 — implying the stock looks roughly 68.3% 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
Krones AG, together with its subsidiaries, plans, develops, manufactures, and sells machines and lines for the fields of process, filling, and packaging technology in Germany, the rest of Europe, the Middle East, the Asia Pacific, China, the Americas, and internationally. It operates in three segments: Filling and Packaging Technology, Process Technology, and Intralogistics. The Filling and Packaging Technology segment offers machines and systems for producing PET bottles; recycling systems for converting used plastic bottles into food-grade recycled materials. The Process Technology segment supplies machines and lines for producing and processing beer, soft drinks, fruit juices, milk, dairy drinks, and alternative proteins; and provides water treatment solutions and components under the Evoguard and Ampco Pumps brands. The Intralogistics segment is involved in the planning and design of automated warehousing, and order-picking and material flow systems with automated guided vehicle…
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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.