Defentect Group (DFTC) Fair Value & Analysis
Technology · US · Market cap $7.5M
Fair value as of: Jun 26, 2026
Analysis
Defentect Group (DFTC) currently trades at $0.0693, while our model-based Fair Value estimate is $0.0351 — implying the stock looks roughly 49.3% 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: low).
About the company
Defentect Group, Inc. develops and provides IP based alerting system that protects against chemical, biological, radiological, nuclear, and explosive threats. The company offers DM3, a software platform that enables the integration of multiple sensors to coordinate security systems through a simple graphical user interface and initiates communication and data-driven messaging between systems and to emergency personnel; and DefenCall, an iPhone application which links to DM3 and creates a mobile personal safety device and service. It also offers GammaTect Zero, an integration device, which combines an analog-to-digital converter and a communications module; GammaTect Two, a Geiger-Muller based gamma detector that detects gamma radiation above 50 microR/hr; and GammaTect Four, a scintillator-based gamma radiation sensor enabling real-time alerts and gamma radiation isotope identification in an unattended perimeter or portal network. The company was formerly known as Splinternet Holdin…
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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.