Richardson Electronics, Ltd (RELL) Fair Value & Analysis
Technology · US · Market cap $271M
Fair value as of: Jun 24, 2026
Analysis
Richardson Electronics, Ltd (RELL) currently trades at $17.82, while our model-based Fair Value estimate is $10.72 — implying the stock looks roughly 39.8% 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: medium).
About the company
Richardson Electronics, Ltd. provides engineered solutions, power grid and microwave tube, and related consumables in North America, the Asia Pacific, Europe, and Latin America. The company's Power and Microwave Technologies segment manufactures electron tubes and radio frequency (RF), microwave and power components used in semiconductor manufacturing equipment, RF, and wireless and industrial power applications, as well as various applications, including broadcast transmission, CO2 laser cutting, diagnostic imaging, dielectric and induction heating, energy transfer, high voltage switching, plasma, power conversion, radar, and radiation oncology. This segment also provides thyratrons and rectifiers, power tubes, ignitrons, magnetrons, phototubes, microwave generators, ultracapacitor modules, and liquid crystal display monitors under the Amperex, Cetron, and National brands. Its Green Energy Solutions segment operates as a designer, manufacturer, technology partner, and distributor o…
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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.