Intercede Group (IRCDF) Fair Value & Analysis
Technology · US · Market cap $82.4M
Fair value as of: Jun 24, 2026
Analysis
Intercede Group (IRCDF) currently trades at $1.37, while our model-based Fair Value estimate is $1.41 — implying the stock looks roughly 2.9% 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
Intercede Group plc, a cybersecurity company, develops and supplies identity and credential management software for digital trust primarily in the United Kingdom, rest of Europe, the United States, and internationally. The company offers MyID Password Security Management which detects and prevents breached passwords through real-time and scheduled checking, stops accounts from sharing passwords and offers instant password feedback and automatic remediation. It also provides MyID IDV for registration and identity verification; and MyID MFA, a secure login and password replacement solution which provides multiple token and tokenless options to suit any scenario while ensuring a simple user experience. In addition, the company offers MyID CMS, a flexible software solution that enables organizations and governments to deploy and manage PKI based digital identities; and MyID PIV, a software solution for federal agencies that issue and manage secure digital identities to federal employees…
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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.