tradingkey.logo

PENN Entertainment Inc reports results for the quarter ended December 31 - Earnings Summary

ReutersFeb 27, 2025 3:31 PM
  • PENN Entertainment Inc PENN.OQ reported a quarterly adjusted loss of 24 cents​​ per share for the quarter ended December 31, lower than the same quarter last year, when the company reported EPS of $1.21. The mean expectation of sixteen analysts for the quarter was for a loss of 24 cents per share. Wall Street expected results to range from -64 cents to -11 cents per share.

  • Revenue rose 17.5% to $1.64 billion from a year ago; analysts expected $1.68 billion.

  • PENN Entertainment Inc's reported EPS for the quarter was a loss of 24 cents​.

  • The company reported a quarterly loss of $133.3 million.

  • PENN Entertainment Inc shares had risen by 3.0% this quarter.

FORECAST CHANGES

  • The mean earnings estimate of analysts had risen by about 21.3% in the last three months.​

  • In the last 30 days, one analyst negatively revised an earnings estimate

RECOMMENDATIONS

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 10 "strong buy" or "buy," 12 "hold" and no "sell" or "strong sell."

  • The average consensus recommendation for the casinos & gaming peer group is also "hold"

Wall Street's median 12-month price target for PENN Entertainment Inc is $23.00

This summary was machine generated from LSEG data February 27 at 03:30 p.m. UTC. ​All figures in US dollars unless otherwise stated. (For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com)

QUARTER ENDING

ESTIMATE

ACTUAL

BEAT, MET, MISSED

Dec. 31 2024

-0.24

-0.88

Missed

Sep. 30 2024

-0.25

-0.24

Beat

Mar. 31 2024

-0.25

-0.18

Beat

Mar. 31 2024

-0.59

-2.37

Missed

Disclaimer: The information provided on this website is for educational and informational purposes only and should not be considered financial or investment advice.

Related Articles

KeyAI