BK Technologies Corporation (BKTI) Fair Value & Analysis
Technology · US · Market cap $309M
Fair value as of: Jun 24, 2026
Analysis
BK Technologies Corporation (BKTI) currently trades at $79.32, while our model-based Fair Value estimate is $67.35 — implying the stock looks roughly 15.1% 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
BK Technologies Corporation, through its subsidiary, BK Technologies, Inc., engages in the design, manufacture, and marketing of wireless communications products in the United States and internationally. It offers two-way land mobile radios (LMR) that are hand-held (portable) or installed in vehicles (mobile). The company offers KNG Series and BKR Series radios that operate in the P25 digital and analog modes, which are used primarily in government, public safety, military, and state and municipal government agencies, as well as various industrial and commercial enterprises; and BK radio products for intellectual property applications. In addition, it provides InteropONE, a push-to-talk-over-cellular (PTTOC) SaaS service that offers emergency incident commanders to establish group PTTOC between smartphone users directly from their smartphone. BK Technologies Corporation was incorporated in 1997 and is based in West Melbourne, Florida.
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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.