Q2 2022 Earnings Q&A Conference Call Invitation
Oslo, 22 August 2022) Magseis Fairfield ASAwill release its second quarter and first half 2022 results on Thursday, 25 August 2022at approximately 07:00 Central European Summer Time(CEST). An earnings conference call followed by Q&A will be hosted by CEO Carel Hooijkaasand CFO Stig Hognestadthe same day, 25 August, at 10:00 CEST. You may follow the presentation of results via webcast with supporting slides, available at this link: http://q2er.magseisfairfield.com You may also use an audio dial-in for the conference call where you will be able to ask questions. Please dial in using the following link: http://q2erqna.magseisfairfield.com. Please join the event 5-10 minutes prior to scheduled start time. When prompted, provide the confirmation code: 9074980. The second quarter and first half 2022 report and presentation will be available at Magseis Fairfieldwebsite (magseisfairfield.com) and Oslo Stock Exchange(newsweb.oslobors.no). The webcast will be made available at Magseis Fairfield'swebsite after completion of the conference call. This information is considered to include inside information pursuant to article 7 of the EU Market Abuse Regulation and is subject to the disclosure requirements pursuant to section 5-12 of the Norwegian Securities Trading Act. This stock exchangeannouncement was published by André Bjørvik, SVP Corporate Communication, at the date and time as set out above. For further information, please contact: Carel Hooijkaas, CEO Tel: +47 480 49 277 Email: [email protected] Stig Hognestad, CFO Tel: +47 902 59 040 Email: [email protected] --- Magseis Fairfieldis the global leading provider of ocean bottom seismic (OBS) technology and data acquisition projects. The company has a flexible business model with full scale node operations, as well as lease and sale models. The Marine Autonomous Seismic System "MASS" nodes and the range of Z-nodes combined with handling systems and source technology enables market leading deployment speed and highly cost-efficient acquisition of data with exceptional quality.
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