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Ocean Power Technologies Q1 net loss widens on technology investments

Ocean Power Technologies Q1 net loss widens on technology investments


Overview

  • US maritime tech firm's fiscal Q1 revenue rose 44% yr/yr to $1.7 mln

  • Company posted a net loss of $10.5 mln, with loss per share unchanged yr/yr

  • Backlog and sales pipeline grew, but gross loss widened on strategic investments


Outlook

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


Result Drivers

  • DEFENSE CONTRACTS - Largest deployment and recurring revenue contract in co's history supported by PowerBuoy systems for DHS maritime operations

  • TECHNOLOGY INVESTMENTS - Gross loss widened due to investments in strategic customer programs and technology development, including contracts accepted to establish long-term relationships

  • PORTFOLIO EXPANSION - Acquisition of subsea technology assets from Columbia Power Technologies extended operational infrastructure capabilities


Company press release: ID:nGNX8V4ZC4


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Revenue

$1.70 mln

Q1 Loss Per Share

$1.28


Analyst Coverage

  • The current average analyst rating on the shares is "strong 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 renewable energy equipment & services peer group is "buy."

  • Wall Street's median 12-month price target for Ocean Power Technologies Inc is $1.50, about 1,307.1% above its September 11 closing price of $0.11


Reuters Recommended Reads

  • Sept 14 - Marine tech firm Coda Octopus Q3 revenue rises on defense segment growth

  • Sept 14 - Cable connector maker RF Industries' Q3 sales rise to record high

  • Sept 14 - US Haptics tech firm Immersion Q1 revenue edges up


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.)

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