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Schindler Holding (SHNDY) Fair Value & Analysis

Industrials · US · Market cap $34.6B

Price$15.91
Fair Value$19.32
Upside+21.4%
Quality90/100
Evidence: High Range $14.73 – $24.56

Analysis

Schindler Holding (SHNDY) currently trades at $15.91, while our model-based Fair Value estimate is $19.32 — implying the stock looks roughly 21.4% undervalued today. We read business quality at 90/100 (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

Schindler Holding AG engages in the production, installation, maintenance, and modernization of elevators, escalators, and moving walks worldwide. It offers Schindler PORT, a transit management system; CleanMobility solutions; Schindler R.I.S.E, a robotic installation system; Schindler MetaCore which enables buildings to be repurposed and their functionality to be reconfigured; Schindler CLIMB Lift, a self-climbing system; Schindler X8; Digital Twin; and BuildingMinds, a cloud based SaaS platform that lets users monitor the performance of a real estate portfolio. In addition, the company provides digital services; and Building Information Modeling which provides traceability and insights throughout the project life cycle, including planning, design, construction, operation, and maintenance. The company was founded in 1874 and is headquartered in Hergiswil, Switzerland.

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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.