Komax Holding (KMAAF) Fair Value & Analysis
Industrials · US · Market cap $384M
Fair value as of: Jun 25, 2026
Analysis
Komax Holding (KMAAF) currently trades at $74.92, while our model-based Fair Value estimate is $47.28 — implying the stock looks roughly 36.9% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Komax Holding AG, together with its subsidiaries, provides automated wire processing solutions in the North and South America, Europe, the Asia/Pacific, and Africa. The company offers higher automation platform products, such as harness manufacturing, automatic crimping, wire twisting, process modules, high voltage platforms, and data wire platforms; and semi-automation machines for stripping, crimping, cutting, and custom automation for various wire types and sizes. It also provides peripherals, wire handling, and wire and marking identification; software and networking solutions; taping and tubing solutions, including harness taping, spot taping, tape dispensing, and heat shrinking; cable and harness testing and quality tools; CARE Maintain service for customized maintenance schedule; CARE Warranty service for warranty coverage; CARE Calibrate service for inspection and calibration; CARE Upskill service for on-site evaluation of staff educational status; and CARE Inspect for on-si…
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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.