Commercial Vehicle Group beats Q1 revenue estimates on global electrical systems growth, reaffirms FY guidance

Commercial Vehicle

05/05/2026 21:45

Overview

US industrial products supplier's Q1 revenue rose 1%, beating analyst expectations

Adjusted loss per share for Q1 beat analyst expectations

Company completed sale-leaseback to reduce debt and reaffirmed full-year guidance

Outlook

CVG sees 2026 net sales between $660 mln and $700 mln

Company expects 2026 adjusted EBITDA of $24 mln to $30 mln

CVG expects positive free cash flow for full-year 2026

Result Drivers

GLOBAL ELECTRICAL SYSTEMS GROWTH - 14% revenue growth in Global Electrical Systems segment, driven by new business ramps and a more diversified end market mix

GROSS MARGIN IMPROVEMENT - Gross margin expanded 100 basis points year-over-year and 180 basis points sequentially, attributed to increased revenues and operational efficiency improvements

SEGMENT MIX - Growth in Global Seating and Electrical Systems segments offset by lower sales in Trim Systems and Components due to softening North American demand

Company press release: ID:nGNX1vdG7d

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Revenue
Beat
$171.50 mln
$160.41 mln (3 Analysts)
Q1 Adjusted EPS
Beat
-$0.10
-$0.13 (3 Analysts)
Q1 Net Income
$902,000
Q1 Adjusted EBITDA
Beat
$4.80 mln
$4.10 mln (3 Analysts)
Q1 Adjusted Gross Margin
12.20%
Q1 Operating Income
$14.70 mln


Analyst Coverage

The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

The average consensus recommendation for the auto, truck & motorcycle parts peer group is "buy."

Wall Street's median 12-month price target for Commercial Vehicle Group Inc is $5.00, about 17.4% above its May 4 closing price of $4.26

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.)