Senzime AB (SNZZF) Fair Value & Analysis
Healthcare · US · Market cap $94.2M
Fair value as of: Jun 24, 2026
Analysis
Senzime AB (SNZZF) currently trades at $0.4785, while our model-based Fair Value estimate is $0.8900 — implying the stock looks roughly 86.0% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Senzime AB (publ), a medical device company, develops, manufactures, and markets algorithm-powered patient monitoring systems to increase patient safety during and after surgery in Europe and the United States. The company offers TetraGraph, quantitative train of-four (TOF) monitoring refined by real-world patient data; and ExSpiron, a non-invasive monitoring system that uses bioelectrical impedance sensor to measure the tissue's opposition to carrying an alternating electrical current. It also provides additional products, including CliniSenz Analyzer and OnZurf Probe. The company has a strategic connectivity and licensing agreement with Masimo that grants Senzime the rights to use some of Masimo's intellectual property; license agreement with Fukuda Denshi Co. Ltd. to license TetraGraph technology; and license agreement with CoreSpiron (Henan) Co Ltd. to manufacture and sell ExSpiron system. Senzime AB (publ) was incorporated in 1999 and is headquartered in Uppsala, Sweden.
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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.