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Qualys, Inc (QLYS) Fair Value & Analysis

Technology · US · Market cap $3.9B

Price$112.33
Fair Value$91.63
Upside-18.4%
Quality95/100
Evidence: High Range $69.81 – $153.01

Analysis

Qualys, Inc (QLYS) currently trades at $112.33, while our model-based Fair Value estimate is $91.63 — implying the stock looks roughly 18.4% 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

Qualys, Inc. provides cloud-based platform delivering information technology (IT), security, and compliance solutions in the United States and internationally. The company provides Qualys Cloud Apps, which include cybersecurity asset management; enterprise TruRisk management; vulnerability management, detection, and response; total application security; patch management; custom assessment and remediation; multi-vector endpoint detection and response; policy audit; and file integrity monitoring. It offers TotalCloud, a cloud-native application protection platform, which include cloud workload protection, cloud detection and response, cloud security posture management, infrastructure as code, SaaS security posture management, cloud infrastructure and entitlement management, and Kubernetes and container security. In addition, the company markets and sells IT, security, and compliance solutions; offers Qualys' Enterprise TruRisk platform that enables customers to identify and manage IT …

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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.