Northamber plc (NAR) Fair Value & Analysis
Technology · GB · Market cap 7.0M GBX
Fair value as of: Jun 24, 2026
Analysis
Northamber plc (NAR) currently trades at p0.2500, while our model-based Fair Value estimate is p0.3000 — implying the stock looks roughly 20.0% 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: medium) — always confirm before acting.
About the company
Northamber plc engages in the supply of computer hardware, computer printers and peripheral products, computer telephony products, and other electronic transmission equipment in the United Kingdom. The company provides audio visual products, such as brackets, mounts and trolleys, collaboration and conferencing, connectivity and control, digital signage software, interactive displays, lamps, livestream solutions, professional audio and displays, and projection; and computer accessories and components, dictation, disk and memory, laptop/desktop PCs, mice and keyboards, monitors, tablets, and virtual desktop. It offers endpoint and network security, networking, firewall feature licenses, and networking and security accessories; office products, printers, and scanners, as well as DM SW and solutions; and servers and infrastructure comprising infrastructure HW and SW, server component, servers, storage and backup, and UPS. In addition, the company offers desktop apps and server OS; and b…
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Frequently asked questions
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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.