Rush Enterprises, Inc (RUSHB) Fair Value & Analysis
Consumer Cyclical · US · Market cap $5.0B
Fair value as of: Jun 24, 2026
Analysis
Rush Enterprises, Inc (RUSHB) currently trades at $71.94, while our model-based Fair Value estimate is $79.22 — implying the stock looks roughly 10.1% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Rush Enterprises, Inc., through its subsidiaries, operates as an integrated retailer of commercial vehicles and related services in the United States and Canada. The company operates a network of commercial vehicle dealerships under the Rush Truck Centers name. Its Rush Truck Centers primarily sell commercial vehicles manufactured by Peterbilt, International, Hino, Ford, Isuzu, IC Bus, Blue Bird, Blue Arc and Battle Motors. The company also engages in the retail sale of new and used commercial vehicles, and aftermarket parts, as well as provision of service and repair, financing, and leasing and rental services; and offers property and casualty insurance, including collision and liability insurance on commercial vehicles, cargo insurance, and credit life insurance products. In addition, it provides equipment installation and repair, parts installation, and paint and body repair services; new vehicle pre-delivery inspection, truck modification, and natural gas fuel system installatio…
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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.