Rogers Corporation (ROG) Fair Value & Analysis
Technology · US · Market cap $2.6B
Analysis
Rogers Corporation (ROG) currently trades at $159.14, while our model-based Fair Value estimate is $79.52 — implying the stock looks roughly 50.0% 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
Rogers Corporation designs, develops, manufactures, and sells engineered materials and components in the United States, other Americas, China, other Asia Pacific countries, Germany, Europe, the Middle East, and Africa. It operates in two Advanced Electronics Solutions (AES), Elastomeric Material Solutions (EMS) segments. The AES segment offers circuit materials, ceramic substrate materials, busbars, and cooling solutions for applications in electric and hybrid electric vehicles, automotive, aerospace and defense, renewable energy, wireless infrastructure, mass transit, industrial, connected devices, and wired infrastructure markets. This segment sells its products under the curamik, ROLINX, RO4000 series, RO3000 series, RT/duroid, CLTE series, TMM, AD series, DiClad series, CuClad series, Kappa, COOLSPAN, TC series, IsoClad series, MAGTREX, IM series, 2929 Bondply, SpeedWave Prepreg, RO4400/RO4400T series, and Radix trade names. The EMS segment provides engineered material solutions…
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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.