Safe Pro Group (SPAI) Fair Value & Analysis
Industrials · US · Market cap $96.1M
Fair value as of: Jun 24, 2026
Analysis
Safe Pro Group (SPAI) currently trades at $4.43, while our model-based Fair Value estimate is $3.87 — implying the stock looks roughly 12.6% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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
Safe Pro Group Inc. provides security and protection products in the United States, Europe, Asia, and the Pacific. The company offers explosive ordinance disposal and unexploded ordinance disposal products; ballistic vests; and body armor, helmets, and ballistic blankets, as well as aerial managed services (drones) for the inspection of radio towers and power grids. It also develops artificial intelligence-powered detection and data analysis, as well as reporting tools for hyper-scalable and cloud-based processing of drone imagery. In addition, the company provides drone solutions for public safety, emergency management, security, critical infrastructure, and other incident response; critical infrastructure inspection utilizing visual and/or IR/thermal sensors; data capture, analytics, and processing by machine learning and artificial intelligence to provide data-driven insights and reporting; aerial mapping of ground-based infrastructure and other targeted assets; UAS-related train…
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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.