NRC Health (NRC) Fair Value & Analysis
Healthcare · US · Market cap $418M
Fair value as of: Jun 24, 2026
Analysis
NRC Health (NRC) currently trades at $20.04, while our model-based Fair Value estimate is $9.21 — implying the stock looks roughly 54.0% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
NRC Health provides analytics and insights to measure and improve patient and employee experience for healthcare organizations in the United States. The company offers market experience solutions, a subscription-based services for improved tracking of awareness, perception, and consistency of healthcare brands; assessment of differentiators; and segmentation tools to evaluate the needs, wants, and behaviors of communities through assessments. It also provides patient experience solutions, a cross-continuum multi-mode digital platform that collects and measures data to improve patient experience, engagement, and loyalty; employee experience solutions, which combines health care with technology comprising engagement, pulse, lifecycle, culture of safety, and magnet RN satisfaction; and consumer experience solution that offers online reputation solutions, community insights, and cross-journey listening through nGage. In addition, the company offers Huey, an AI engine built for Human Und…
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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.