Filtronic plc (FLTCF) Fair Value & Analysis
Technology · US · Market cap $1.1B
Fair value as of: Jun 24, 2026
Analysis
Filtronic plc (FLTCF) currently trades at $4.51, while our model-based Fair Value estimate is $0.9600 — implying the stock looks roughly 78.7% 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
Filtronic plc designs, develops, manufactures, and sells radio frequency (RF) technology in the United Kingdom, Europe, the Americas, and rest of the world. It provides Morpheus II and X2, an E-band transceiver module; Cerus, an E-brand power amplifier for long range communications; Hercules II, a high power E-band transreceiver; Taurus, an E-brand power amplifier; Hades X2, an E-band active diplexer; tower top amplifiers; and transmit and receive modules. The company also offers custom products, such as waveguide diplexers; cross-band and in band combiners; custom combiners; front end modules, such as power amplifiers, low noise amplifiers, switches, filters, power detectors, baluns, and other products; GaN amplifiers; and microwave and millimeter wave transceiver products. In addition, it provides filter products, including ceramic, combline and interdigital, waveguide, custom, interference mitigation, lumped element, metal cavity, small cell, suspended substrate, and thin film fi…
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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.