Medicalgorithmics S.A (MDG) Fair Value & Analysis
Healthcare · PL · Market cap 276M PLN
Fair value as of: Jun 24, 2026
Analysis
Medicalgorithmics S.A (MDG) currently trades at 28.20 PLN, while our model-based Fair Value estimate is 34.89 PLN — implying the stock looks roughly 23.7% undervalued today. We read business quality at 92/100 (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
Medicalgorithmics S.A. provides cardiac diagnostic solutions in Poland, the United States, and internationally. It offers PocketECG, an AI-driven online ECG monitoring device for long-term holter, cardiac event, and mobile cardiac telemetry analysis; Kardiobeat.ai, an AI-Driven lightweight wireless holter monitor; DeepRhythm Platform, a hardware-agnostic cloud-based software that leverages cutting-edge AI technology to detect, classify, analyze, and report ECG data; and DeepRhythmAI, a set of algorithms for heart rhythm analysis that integrates into third-party software and devices. The company also provides virtual cardiac stress test (VCAST), an AI-based medical system developed for non-invasive, clinical quantitative, and qualitative analysis of CT-scan data, to assess the hemodynamic significance of coronary artery atherosclerotic stenosis. In addition, it operates ECG TechBot, a software using a set of algorithms for automatic analysis and interpretation of the ECG signal based…
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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.