DXP Enterprises, Inc (DXPE) Fair Value & Analysis
Industrials · US · Market cap $2.4B
Analysis
DXP Enterprises, Inc (DXPE) currently trades at $165.50, while our model-based Fair Value estimate is $93.36 — implying the stock looks roughly 43.6% 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
DXP Enterprises, Inc., together with its subsidiaries, engages in distributing maintenance, repair, and operating (MRO) products, equipment, and services in the United States, Canada, and internationally. The company operates in three segments: Service Centers, Supply Chain Services, and Innovative Pumping Solutions. The Service Centers segment offers MRO products, equipment, and integrated services, including technical expertise and logistics capabilities. It also provides a range of MRO products in the rotating equipment, bearing, power transmission, hose, fluid power, metal working, fastener, industrial supply, safety products, and safety services categories. This segment serves customers in the oil and gas, general industrial, manufacturing, chemical, food and beverage, refining, water and wastewater, fabrication and construction, and other industries. Its Supply Chain Services segment manages procurement and inventory optimization and management, store-room management, transact…
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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.