Distribution Solutions Group (DSGR) Fair Value & Analysis
Industrials · US · Market cap $1.3B
Analysis
Distribution Solutions Group (DSGR) currently trades at $27.70, while our model-based Fair Value estimate is $5.63 — implying the stock looks roughly 79.7% 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
Distribution Solutions Group, Inc., a specialty distribution company, provides value-added distribution solutions to the maintenance, repair and operations (MRO), original equipment manufacturer, and industrial technology markets. It operates through four segments: Lawson, TestEquity, Gexpro Services, and Canada Branch Division. The Lawson segment distributes specialty products and services to the industrial, commercial, institutional, and government MRO marketplace. The TestEquity segment distributes test and measurement equipment and solutions, industrial and electronic production supplies, and vendor managed inventory programs, as well as converting, fabrication, and adhesive solutions to the aerospace and defense, wireless and communication, semiconductors, industrial electronics and automotive, and electronics manufacturing industries under the TestEquity, Hisco, Techni-Pro, Techni-Tool, and Jensen Tools brands. The Gexpro Services segment provides supply chain management solut…
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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.