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u-blox Holding (UBXN) Fair Value & Analysis

Technology · CH · Market cap CHF 1.0B

PriceCHF 134.40
Fair ValueCHF 24.11
Upside-82.1%
Quality92/100
Evidence: Medium Range CHF 20.58 – CHF 28.78

Analysis

u-blox Holding (UBXN) currently trades at CHF 134.40, while our model-based Fair Value estimate is CHF 24.11 — implying the stock looks roughly 82.1% overvalued today. We read business quality at 92/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).

About the company

u-blox Holding AG develops, manufactures, and markets products and services supporting GPS/GNSS satellite positioning systems for the automotive and transport, healthcare, asset tracking and management, industrial automation and monitoring, and consumer markets. It develops and distributes chips and modules to locate and connect devices. The company also offers a range of GPS/GNSS positioning products, including satellite receiver chips, chips, receiver modules, receiver boards, antennas, and smart antennas for navigation, automatic vehicle location, security, traffic control, location-based services, timing, and agriculture. It operates in Switzerland, Germany, rest of Europe, the Middle East, Africa, the United States of America, China, and the rest of the Asia Pacific. The company was incorporated in 2007 and is headquartered in Thalwil, Switzerland. As of October 29, 2025, u-blox Holding AG operates as a subsidiary of ZI Zenith S.à r.l.

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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.