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TomTom N.V (TMOAF) Fair Value & Analysis

Technology · US · Market cap $901M

Price$7.24
Fair Value$2.40
Upside-66.9%
Quality95/100
Evidence: High Range $1.81 – $2.98

Analysis

TomTom N.V (TMOAF) currently trades at $7.24, while our model-based Fair Value estimate is $2.40 — implying the stock looks roughly 66.9% overvalued today. We read business quality at 95/100 (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: high).

About the company

TomTom N.V., together with its subsidiaries, develops and sells navigation and location-based products and services in Europe, the Americas, Asia, and internationally. The company operates in two segments, Location Technology and Consumer. It offers routing, automotive, and places APIs; automotive navigation, navigation SDK for mobile, and AI agent products; maps for automated driving, map maker, maps SDK for JavaScript, and map display and places APIs. The company also provides traffic solutions, such as traffic stats, origin destination analysis, route monitoring, junction analytics, historical traffic volumes, and traffic APIs; and navigation apps, personal and professional sat navs, in-dash navigation, accessories, and maps and service updates for drivers. In addition, it offers road traffic management, location intelligence, electrification, automated driving, navigation for automotive, and safety and regulations solutions. The company serves fleet management and logistics, mob…

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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.