Copa Holdings, S.A. (CPA) Q1 2025 Earnings Call Transcript


Copa Holdings, S.A. (NYSE:CPA) Q1 2025 Earnings Conference Call May 8, 2025 11:00 AM ET

Company Participants

Daniel Tapia – Director, Investor Relations
Pedro Heilbron – Chief Executive Officer
Peter Donkersloot – Chief Financial Officer

Conference Call Participants

Savi Syth – Raymond James
Duane Pfennigwerth – Evercore ISI
Guilherme Mendes – JPMorgan
Stephen Trent – Citi
Jens Spiess – Morgan Stanley
Rogerio Araujo – Bank of America
Michael Linenberg – Deutsche Bank
Alberto Valerio – UBS
Thomas Fitzgerald – TD Cowen
Daniel McKenzie – Seaport Global

Operator

Ladies and gentlemen, thank you for standing by. Welcome to Copa Holdings First Quarter Earnings Call. During the presentation, all participants will be in listen-only mode. Afterwards, we will conduct a question-and-answer session. [Operator Instructions] As a reminder, this call is being webcast and recorded on May 8, 2025.

Now I’ll turn the conference call over to Daniel Tapia, Director of Investor Relations. Sir, you may begin.

Daniel Tapia

Thank you, Marvin, and welcome, everyone, to our first quarter earnings call. Joining me today are Pedro Heilbron, CEO of Copa Holdings; and Peter Donkersloot, our CFO. First, Pedro will start by going over our first quarter highlights, followed by Peter, who will discuss our financial results. Immediately after, we will open the call for questions from analysts.

Copa Holdings’ financial reports have been prepared in accordance with the International Financial Reporting Standards. In today’s call, we will discuss non-IFRS financial measures. A reconciliation of the non-IFRS to IFRS financial measures can be found in our earnings release, which has been posted on the company’s website, corpaair.com. Our discussion today will also contain forward-looking statements, not limited to historical facts that reflect the company’s current beliefs, expectations and/or intentions regarding future events and results. These forward-looking statements involve risks and uncertainties that could cause actual results to differ materially and are based on assumptions



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