ePlus inc., (PLUS) Fair Value & Analysis
Technology · US · Market cap $2.1B
Fair value as of: Jun 24, 2026
Analysis
ePlus inc., (PLUS) currently trades at $79.20, while our model-based Fair Value estimate is $67.75 — implying the stock looks roughly 14.5% overvalued today. We read business quality at 97/100 (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
ePlus inc., together with its subsidiaries, provides information technology (IT) solutions that enable organizations to optimize IT environment and supply chain processes in the United States and internationally. The company operates through three segments: Product Services, Professional Services, and Managed Services segments. It sells third-party hardware, perpetual and subscription software, and maintenance; and software assurance and other third-party services as well as offers internet-based business-to-business supply chain management solutions for IT products. The company also offers professional services, such as staff augmentation, project management, cloud consulting, Al advisory, consulting, security and collaboration solution, warehouse, configuration, and logistic service, as well as in the spaces of digital signage, EV charging solution, loss prevention and security, store opening, remodel, and store closing; and managed services comprising enhanced maintenance support…
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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.