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VRRM — Verra Mobility News Story

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Verra Mobility Q1 revenue flat

Overview

US smart mobility tech firm's Q1 revenue was nearly flat, slightly beating analyst expectations

Adjusted EPS and adjusted EBITDA for Q1 beat analyst expectations

Company repurchased $50.2 mln in shares and reaffirmed 2026 full-year guidance

Outlook

Verra Mobility sees 2026 revenue of $1.02 bln to $1.03 bln

Company expects 2026 adjusted EBITDA of $405 mln to $415 mln

Verra Mobility projects 2026 adjusted EPS of $1.32 to $1.38

Result Drivers

GOVERNMENT SOLUTIONS EXPANSION - Revenue growth in Government Solutions was driven by expansions in speed, red light, and bus lane programs outside of the NYCDOT contract

COMMERCIAL SERVICES CHURN - Decline in Commercial Services revenue was due to lower revenue from fleet management company customers following prior period customer churn

HIGHER OPERATING EXPENSES - Net income decreased primarily due to increased operating expenses and lower product sales, partially offset by a legal settlement

Company press release: ID:nPn2W3tfNa

Key Details

MetricBeat/MissActualConsensus Estimate
Q1 RevenueSlight Beat*$223.60 mln$223.38 mln (7 Analysts)
Q1 Adjusted EPSBeat$0.25$0.24 (8 Analysts)
Q1 Net Income$26.74 mln
Q1 Adjusted EBITDABeat$86 mln$81.02 mln (7 Analysts)
*Applies to a deviation of less than 1%; not applicable for per-share numbers. Analyst Coverage The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 6 "strong buy" or "buy", 2 "hold" and no "sell" or "strong sell" The average consensus recommendation for the business support services peer group is "buy" Wall Street's median 12-month price target for Verra Mobility Corp is $26.50, about 82.8% above its May 5 closing price of $14.50 The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 14 three months ago For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com. (This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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