Overview
France engineering firm's Q1 revenue fell 4% yr/yr, missing analyst expectations
Adjusted EBIT and net profit declined yr/yr amid Middle East operational disruptions
Order intake exceeded €6 bln, lifting backlog above €20 bln; 2026 guidance lowered due to conflict
Outlook
Technip Energies lowers 2026 Project Delivery revenue guidance to €5.7-6.3 bln from €6.3-6.7 bln
Company cuts 2026 Project Delivery EBITDA margin outlook to 6.5%-7.5% from ~8%
Technip Energies expects €500-600 mln in revenue to be deferred beyond 2026 if Middle East situation normalizes by end-Q2
Result Drivers
MIDDLE EAST DISRUPTIONS - Co said project execution was affected by site disruptions and logistical challenges in the Middle East, deferring revenue and increasing costs for safety and continuity
FOREIGN EXCHANGE - Revenue in Project Delivery and TPS segments was negatively impacted by the strengthening of the Euro versus the US dollar
SHIFT IN BUSINESS MIX - Lower contribution from technology licensing and proprietary equipment in energy derivatives projects, partly offset by higher activity in carbon capture products and consultancy services
Company press release: ID:nGNEDBP3Q
Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Revenue
Miss
EUR 1.78 bln
EUR 1.92 bln (8 Analysts)
Q1 EPS
EUR 0.48
Q1 Net Income
EUR 84.50 mln
Q1 Orders
EUR 6.05 bln
Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 12 "strong buy" or "buy", 6 "hold" and no "sell" or "strong sell"
The average consensus recommendation for the oil related services and equipment peer group is "buy"
Wall Street's median 12-month price target for Technip Energies NV is €44.00, about 9.1% above its April 29 closing price of €40.32
The stock recently traded at 14 times the next 12-month earnings vs. a P/E of 11 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.)