Verra Mobility Corporation (VRRM) Fair Value & Analysis
Technology · US · Market cap $652M
Analysis
Verra Mobility Corporation (VRRM) currently trades at $4.39, while our model-based Fair Value estimate is $18.11 — implying the stock looks roughly 312.5% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: low) — always confirm before acting.
About the company
Verra Mobility Corporation provides smart mobility technology solutions in the United States, Australia, Europe, and Canada. It operates through three segments: Commercial Services, Government Solutions, and Parking Solutions. The Commercial Services segment offers automated toll and violations management, and title and registration solutions to rental car companies, direct commercial fleet owner-operators, fleet management companies, and other fleet owners. The Government Solutions segment provides photo enforcement solutions and services to its customers, including complete, end-to-end speed, red-light, and school bus stop arm and bus lane enforcement solutions; and traffic enforcement products and recurring maintenance services related to the equipment and software. This segment serves municipalities, counties, school districts, and law enforcement agencies. The Parking Solutions segment offers an integrated suite of parking software, transaction processing and hardware solutions…
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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.