Canada's Methanex Q1 adjusted EPS miss on share‑based compensation expense

Methanex

29/04/2026 22:21

Overview

Canada methanol producer's Q1 revenue and adjusted EPS missed analyst expectations

Adjusted EBITDA for Q1 beat analyst expectations

Company posted $14 mln net loss, mainly due to share-based compensation expense

Outlook

Methanex expects 2026 production of 9.0 mln tonnes methanol and 0.3 mln tonnes ammonia

Company expects average realized price of $500-$525/tonne for April and May

Methanex anticipates significantly higher Q2 Adjusted EBITDA on higher realized price and stable sales

Result Drivers

SHARE-BASED COMPENSATION EXPENSE - Net loss was primarily driven by a mark-to-market expense related to share-based compensation following an increase in the company's share price

HIGHER REALIZED PRICES - Average realized methanol price increased to $351 per tonne from $331 per tonne in the previous quarter

SUPPLY CHAIN DISRUPTIONS - Conflict in the Middle East impacted global petrochemical supply chains, resulting in a rapid and significant increase in global methanol pricing into the second quarter

Company press release: ID:nGNX4qNxQC

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Revenue
Miss
$974 mln
$1.01 bln (4 Analysts)
Q1 Adjusted EPS
Miss
$0.30
$0.41 (5 Analysts)
Q1 EPS
-$0.18
Q1 Adjusted Net Income
Miss
$23 mln
$28.33 mln (3 Analysts)
Q1 Net Income
-$14 mln
Q1 Adjusted EBITDA
Beat
$220 mln
$204.05 mln (4 Analysts)
Q1 Basic EPS
-$0.18


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "strong buy" or "buy", 3 "hold" and no "sell" or "strong sell"

The average consensus recommendation for the commodity chemicals peer group is "buy"

The stock recently traded at 9 times the next 12-month earnings vs. a P/E of 12 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.)