Diploma PLC (DPMAY) Fair Value & Analysis
Industrials · US · Market cap $12.6B
Fair value as of: Jun 24, 2026
Analysis
Diploma PLC (DPMAY) currently trades at $23.31, while our model-based Fair Value estimate is $9.53 — implying the stock looks roughly 59.1% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Diploma PLC, together with its subsidiaries, supplies specialized technical products and services in the United Kingdom, Europe, North America, and internationally. It operates through three business sectors: Controls, Seals, and Life Sciences. The Controls sector offers wire and cabling, interconnect, specialty fasteners, specialty adhesive and industrial automation solutions for various applications. The Seals sector supplies sealing and fluid power products, gaskets, hoses and fittings, pumps and valves, and solutions for aftermarket repairs, original equipment manufacturing, and maintenance, repair and overhaul projects. The Life Sciences sector supplies and services equipment; provides consumables and instrumentation for surgery, diagnosis of disease, and critical care support; and supplies diagnostic and scientific technologies, surgical instruments, medical devices, endoscopes, patient monitoring equipment, specialist hospital supplies, and clinical nutrition. It serves publi…
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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.