M.T.I Wireless Edge Ltd (MWE) Fair Value & Analysis
Technology · GB · Market cap 57.8M GBX
Fair value as of: Jun 24, 2026
Analysis
M.T.I Wireless Edge Ltd (MWE) currently trades at p0.7300, while our model-based Fair Value estimate is p1.11 — implying the stock looks roughly 52.1% undervalued today. We read business quality at 93/100 (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: high) — always confirm before acting.
About the company
M.T.I Wireless Edge Ltd. designs, develops, manufactures, and markets antennas for the military and civilian sectors in Israel, the United States, Europe, the Middle East, Africa, and the Asia Pacific. The Antennas segment operates as a one stop shop for the sale of off the shelf, focusing on providing 5G backhaul antenna solutions to support mobile phone operators. This segment also offers commercial, RFID, and military antennas. The Water Control & Management segment provides wireless control systems to manage agricultural irrigation and water distribution for municipal authorities and commercial entities. This segment operates under the Mottech brand and utilizes hardware technology from Motorola, integrated with its own proprietary management software. The Distribution & Professional Consulting Services segment supplies radio frequency/microwave components under the MTI Summit Electronics brand. The company provides directional, toll road, subscriber, sector, vehicular, omni, an…
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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.