Monaco's Scorpio Tankers Q1 adjusted EPS beats estimates

Scorpio Tankers

05/05/2026 12:02

Overview

Monaco product tanker operator's Q1 adjusted EPS and net income beat analyst expectations

Company replenished share repurchase program to $500 mln and declared quarterly dividend

Higher TCE rates and robust demand drove strong results despite smaller fleet

Outlook

Company expects strong product tanker market conditions to continue in Q2 2026

Scorpio Tankers expects Q2 2026 average daily TCE revenue of $96,000 for LR2 vessels

Company estimates Q2 2026 drydock costs of $5.8 mln and 99 off-hire days

Result Drivers

TCE RATE INCREASE - Higher average daily TCE rates, driven by robust refined product demand and longer voyage distances due to Middle East disruptions, significantly lifted revenue

FLEET SIZE - Lower average vessel count reduced total operating costs, though operating cost per vessel rose due to higher spares and stores expenses

LOWER FINANCIAL EXPENSES - Financial expenses fell as average debt declined with continued deleveraging and vessel sales

Company press release: ID:nGNX1StMmc

Key Details

Metric
Beat/Miss
Actual
Consensus Estimate
Q1 Adjusted EPS
Beat
$3.02
$2.54 (10 Analysts)
Q1 EPS
$4.32
Q1 Adjusted Net Income
Beat
$150.90 mln
$133.64 mln (6 Analysts)
Q1 Net Income
$216.30 mln
Q1 Dividend
$0.45


Analyst Coverage

The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 9 "strong buy" or "buy", 1 "hold" and 1 "sell" or "strong sell"

The average consensus recommendation for the oil & gas transportation services peer group is "buy"

Wall Street's median 12-month price target for Scorpio Tankers Inc is $90.00, about 8.1% above its May 4 closing price of $83.27

The stock recently traded at 11 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.)