Rapid7, Inc (RPD) Fair Value & Analysis
Technology · US · Market cap $450M
Fair value as of: Jun 24, 2026
Analysis
Rapid7, Inc (RPD) currently trades at $6.73, while our model-based Fair Value estimate is $6.95 — implying the stock looks roughly 3.3% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: high) — always confirm before acting.
About the company
Rapid7, Inc. provides cybersecurity software and services under the Rapid7, Nexpose, and Metasploit brand names. It offers Rapid7 Agent, a software-based agent that is used on assets across on-premises and cloud environments to centralize and monitor data on company's platform; Rapid7 Network Sensor that analyzes raw end-to-end network traffic to increase visibility into user activity, pinpoint real threats, and investigations; Rapid7 Cloud Event Data Harvesting that offers visibility into changes made to cloud resources; and third-party integrations and ecosystem, as well as orchestration and automation solutions. It also offers various platforms, including Rapid7 managed threat complete consisting of managed detection response that delivers end-to-end threat detection and response; Incident Command, a security information and event management, and extended detection and response solution; Incident Response Services to prepare and respond to potential breaches; Threat Intelligence;…
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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.