Napco Security Technologies, Inc (NSSC) Fair Value & Analysis
Industrials · US · Market cap $1.3B
Analysis
Napco Security Technologies, Inc (NSSC) currently trades at $37.49, while our model-based Fair Value estimate is $18.46 — implying the stock looks roughly 50.8% overvalued today. We read business quality at 95/100 (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: high).
About the company
Napco Security Technologies, Inc. engages in the development, manufacturing, and sale of electronic security systems for commercial, residential, institutional, industrial, and governmental applications in the United States and internationally. The company's access control systems include various types of identification readers, control panels, PC-based computers, and electronically activated door-locking devices; intrusion and fire alarm systems, consists of various detectors, a control panel, a digital keypad and signaling equipment; and door locking devices comprise microprocessor-based electronic door locks with push button, card readers and bio-metric operation, door alarms, mechanical door locks, and simple dead bolt locks. Its alarm systems include automatic communicators, cellular communication devices, control panels, combination control panels/digital communicators and digital keypad systems, fire alarm control panels, and area detectors; and video surveillance systems com…
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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.