Tenable Holdings (TENB) Fair Value & Analysis
Technology · US · Market cap $3.2B
Analysis
Tenable Holdings (TENB) currently trades at $27.26, while our model-based Fair Value estimate is $8.88 — implying the stock looks roughly 67.4% 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: high).
About the company
Tenable Holdings, Inc. provides cyber exposure management solutions in the Americas, Europe, the Middle East, Africa, the Asia Pacific, and Japan. Its platforms include Tenable AI Exposure, a solution that helps organizations identify, assess, and reduce security risks associated with the use of artificial intelligence technologies; Tenable Vulnerability Management, a cloud-delivered software as a service that provides organizations with a risk-based view of traditional and modern attack surfaces; Tenable Cloud Security, a cloud security solution for use in exposing and closing priority security gaps caused by misconfigurations, risky entitlements, and vulnerabilities; Tenable Identity Exposure, a solution for end-to-end protection from identity-based threats; and Tenable Web App Scanning, which provides configuration and management of web app scans. The company also provides Tenable Attack Surface Management, an external attack surface management solution; Tenable Security Center, …
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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.