Adeunis Société anonyme (ALARF) Fair Value & Analysis
Technology · FR · Market cap €3.9M
Fair value as of: Jun 24, 2026
Analysis
Adeunis Société anonyme (ALARF) currently trades at €0.8400, while our model-based Fair Value estimate is €0.1500 — implying the stock looks roughly 82.1% 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: medium).
About the company
Adeunis Société anonyme designs, manufactures, and markets products and solutions for Internet of Things (IoT) business and connected objects in France. The company offers wireless sensors and cellular IoT sensors; cellular connectivity solutions for IoT projects; near field communication (NFC) configurators for IoT sensors; device management solutions for cellular IoT sensors; and IoT solutions for smart buildings comprises office buildings, collective housing, health establishment, industrial buildings, schools, commercial buildings, and accommodation and catering. It also provides on-site radio mapping, on-site deployment, training, data processing, sensor maintenance, and data decoding services; and sensors setup services. In addition, the company assists in private and public networks; and KARE/KARE+, a device management platform that allows to maintain in operational conditions. It is also involved in exporting activities. The company is headquartered in Crolles, France. As of…
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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.