tradingkey.logo

JAKKS Pacific Inc reports results for the quarter ended December 31 - Earnings Summary

ReutersFeb 20, 2025 10:42 PM
  • JAKKS Pacific Inc JAKK.OQ reported a quarterly adjusted loss of 67 cents​​ per share for the quarter ended December 31, higher than the same quarter last year, when the company reported EPS of $-1.04. The mean expectation of two analysts for the quarter was for a loss of 73 cents per share. Wall Street expected results to range from -87 cents to -59 cents per share.

  • Revenue rose 2.6% to $130.74 million from a year ago; analysts expected $131.07 million.

  • JAKKS Pacific Inc's reported EPS for the quarter was a loss of 83 cents​.

  • The company reported a quarterly loss of $9.11 million.

  • JAKKS Pacific Inc shares had risen by 24.1% this quarter.

FORECAST CHANGES

  • The mean earnings estimate of analysts was unchanged in the last three months.​

  • In the last 30 days, there have been no earnings estimate revisions by analysts covering the company.

RECOMMENDATIONS

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

  • The average consensus recommendation for the toys & children's products peer group is also "buy"

Wall Street's median 12-month price target for JAKKS Pacific Inc is $40.00

This summary was machine generated from LSEG data February 20 at 10:41 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

-0.73

-0.67

Beat

Sep. 30 2024

4.03

4.79

Beat

Jun. 30 2024

0.12

0.65

Beat

Mar. 31 2024

-0.85

-1.09

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