Brief: CECO Environmental Q2 Adjusted EPS USD 0.24 Vs. IBES Estimate USD 0.18

CECO Environmental

29/07/2025 12:00

Overview

CECO Q2 revenue up 35% yr/yr, beating analyst expectations, per LSEG data

Adjusted EPS of $0.24 beats estimates, reflecting strong operational performance

Orders surge 95%, backlog reaches $688.1 mln

Outlook

CECO raises 2025 revenue outlook to $725-$775 mln

Company maintains 2025 adjusted EBITDA guidance of $90-$100 mln

CECO expects >60% free cash flow conversion of adjusted EBITDA

Company cites record backlog and growing sales pipeline for confidence

Result Drivers

RECORD ORDERS - CECO's orders surged 95% year-over-year, driven by its largest-ever order for emissions management solutions in a power generation project

BACKLOG GROWTH - The company's backlog reached an all-time high of $688 mln, up 76% from the previous year, supported by strong demand in natural gas and water infrastructure projects

DIVERSE PORTFOLIO - CECO's environmental solutions for industrial air, water, and energy transition markets gained traction in key markets and new geographies, contributing to revenue growth

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Revenue
Beat
$185.39 mln
$178.70 mln (6 Analysts)
Q2 Adjusted EPS
Beat
$0.24
$0.18 (6 Analysts)
Q2 Adjusted Net Income
Beat
$8.70 mln
$7.10 mln (4 Analysts)
Q2 Adjusted EBITDA
Beat
$23.30 mln
$20.60 mln (6 Analysts)
Q2 Adjusted Operating Income
$18.30 mln
Q2 Free Cash Flow
-$3 mln


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 6 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

The average consensus recommendation for the environmental services & equipment peer group is "buy"

Wall Street's median 12-month price target for CECO Environmental Corp is $34.50, about 0.6% below its July 28 closing price of $34.71

The stock recently traded at 29 times the next 12-month earnings vs. a P/E of 19 three months ago

Press Release: ID:nGNX8wvMrH

(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.)