KSB SE (KSB) Fair Value & Analysis
Industrials · DE · Market cap €1.6B
Analysis
KSB SE (KSB) currently trades at €930.00, while our model-based Fair Value estimate is €2,833 — implying the stock looks roughly 204.6% undervalued today. We read business quality at 83/100 (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: medium) — always confirm before acting.
About the company
KSB SE & Co. KGaA, together with its subsidiaries, supplies pumps, valves, and related services worldwide. The company operates through three segments: Pumps, Valves, and KSB SupremeServ. The Pumps segment offers single-stage and multistage pumps, as well as submersible pumps, and associated control and drive systems. The Valves segment provides butterfly valves, globe valves, gate valves, control valves, diaphragm valves and ball valves, and associated actuators and control systems. The KSB SupremeServ segment is involved in the spare parts business for pumps and valves. This segment also engages in the installation, commissioning, inspection, servicing, maintenance, reverse engineering and repair of pumps, related systems and valves; and modular service concepts and system analyses for complete plants. The company was formerly known as KSB Aktiengesellschaft and changed its name to KSB SE & Co. KGaA in January 2018. KSB SE & Co. KGaA was founded in 1871 and is headquartered in Fra…
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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.