Texas Pacific Land Q2 revenue and net income hit records on higher oil prices

Texas Pacific Land

05/08/2026 21:29

Overview
US land and royalty owner's Q2 revenue and net income hit record highs
Adjusted EBITDA for Q2 declined sequentially and missed consensus, but only two analyst estimates provided
Results driven by higher oil and gas royalty production and increased realized prices

Outlook
Company did not provide specific financial guidance for the current or future periods

Result Drivers
OIL AND GAS ROYALTY PRODUCTION - Record oil and gas royalty daily production and higher realized prices drove revenue growth
PRODUCED WATER ROYALTIES - Increased produced water royalty volumes and revenues contributed to results
WATER SALES VOLUMES - Water sales revenue declined sequentially due to lower volumes, partially offset by higher realized pricing

Company press release: ID:nBw9GMQt9a

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Net Income
 
$153.90 mln
 
Q2 Adjusted EBITDA
Miss
$215.60 mln
$221.50 mln (2 Analysts)

Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", no "hold" and 1 "sell" or "strong sell"
The average consensus recommendation for the oil & gas exploration and production peer group is "buy"
Wall Street's median 12-month price target for Texas Pacific Land Corp (Dover) is $377.05, about 4.7% below its August 4 closing price of $395.52
The stock recently traded at 43 times the next 12-month earnings vs. a P/E of 45 three months ago

Reuters Recommended Reads
Aug 3 - Black Stone Minerals Q2 adjusted EBITDA beats estimates on higher oil prices
Aug 3 - Vitesse Energy Q2 revenue rises on higher oil prices, production
Aug 4 - Select Water Solutions Q2 revenue beats on Water Infrastructure segment growth

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.)