HMS Networks AB (HMNKF) Fair Value & Analysis
Technology · US · Market cap $3.0B
Analysis
HMS Networks AB (HMNKF) currently trades at $59.75, while our model-based Fair Value estimate is $17.74 — implying the stock looks roughly 70.3% 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
HMS Networks AB (publ) provides industrial information and communication technology solutions worldwide. The company offers industrial data products, including HMI and panel meters, industrial controllers, network diagnostics, network security, and remote gateway products; industrial network connectivity products comprising embedded network interfaces, functional safety, gateways and protocol converters, industrial PC interfaces, industrial wireless, and switches and infrastructure products; building automation gateway products that include AC cloud control, AC, AW heat pump, and protocol converter gateways; vehicle and medical communication products, such as computing gateways, infrastructure components, and PC interfaces; and related software, tools, and accessories. Its products are used for battery energy storage, EV charging, factory to building, HVAC control, lighting control, mobile robots, PLCs, robot controllers, and smart metering applications. The company also provides bu…
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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.