Johnson Matthey Plc (JMPLF) Fair Value & Analysis
Basic Materials · US · Market cap $4.8B
Fair value as of: Jun 24, 2026
Analysis
Johnson Matthey Plc (JMPLF) currently trades at $28.61, while our model-based Fair Value estimate is $22.23 — implying the stock looks roughly 22.3% overvalued today. We read business quality at 97/100 (high quality), in the Basic Materials 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
Johnson Matthey Plc engages in the clean air, catalyst and hydrogen technology, and platinum group metals (PGM) service businesses in the United Kingdom, Germany, rest of Europe, the United States, rest of North America, China, rest of Asia, and internationally. It operates through Clean Air, PGM Services, and Hydrogen Technologies segments. The Clean Air segment provides catalysts for emission control after-treatment systems to reduce harmful emissions from cars, other light duty vehicles, trucks, buses, and non-road equipment powered by internal combustion engines. The PGM Services segment enables the energy transition that offers circular solutions as demand for critical materials. This segment also offers PGM refining and recycling services; engages in PGM trading activities; other precious metal products; and PGM chemicals, industrial products, and catalysts. The Hydrogen Technologies segment offers components across the value chain for fuel cells and electrolysers, including c…
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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.