Nano-X Imaging Ltd (NNOX) Fair Value & Analysis
Healthcare · US · Market cap $116M
Fair value as of: Jun 25, 2026
Analysis
Nano-X Imaging Ltd (NNOX) currently trades at $1.57, while our model-based Fair Value estimate is $0.6400 — implying the stock looks roughly 59.2% 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: low).
About the company
Nano-X Imaging Ltd. develops a commercial-grade tomographic imaging device with a digital X-ray source. It provides teleradiology services and develops artificial intelligence applications to be used in real-world medical imaging applications. The company's solutions include Nanox Multi Source System comprising Nanox.ARC, a medical tomographic imaging system incorporating its digital X-ray source; and Nanox. CLOUD, a platform which employs a matching engine to match medical images to radiologists that provides image repository, connectivity to diagnostic assistive AI systems, billing, and reporting. It also offers Nanox.MARKETPLACE, which connects imaging facilities with radiologists and enables radiologists; Nanox.CONNECT to receive local regulatory approvals and explore and evaluate the business model and the potential service; artificial intelligence (AI)-based software imaging solutions to hospitals, health maintenance organizations, integrated delivery networks, pharmaceutical …
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Nano-X Imaging Ltd (NNOX) undervalued?
What is the fair value of NNOX?
What is the quality score of NNOX?
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.