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Alcoa Corporation (AA) Q2 2023 Earnings Call Transcript

Alcoa Corporation (NYSE:AA) Q2 2023 Earnings Conference Call July 19, 2023 5:00 PM ET

Company Participants

James Dwyer – VP, IR

Roy Harvey – President and CEO

Molly Beerman – EVP and CFO

Conference Call Participants

Alex Hacking – Citi

Carlos de Alba – Morgan Stanley

Timna Tanners – Wolfe Research

Lucas Pipes – B. Riley Securities

Chris LaFemina – Jefferies

Michael Dudas – Vertical Research

Katja Jancic – BMO Capital Markets

Bill Peterson – JPMorgan

John Tumazos – John Tumazos Independent Research

Operator

Good afternoon, and welcome to the Alcoa Corporation Second Quarter 2023 Earnings Presentation and Conference Call. [Operator Instructions] Please note this event is being recorded.

I would now like to turn the conference over to James Dwyer, Vice President of Investor Relations. Please go ahead.

James Dwyer

Thank you, and good day, everyone. I’m joined today by Roy Harvey, Alcoa Corporation President and Chief Executive Officer; and Molly Beerman, Executive Vice President and Chief Financial Officer. We will take your questions after comments by Roy and Molly.

As a reminder, today’s discussion will contain forward-looking statements relating to future events and expectations that are subject to various assumptions and caveats. Factors that may cause the Company’s actual results to differ materially from these statements are included in today’s presentation and in our SEC filings.

In addition, we have included some non-GAAP financial measures in this presentation. For historical non-GAAP financial measures, reconciliations to the most directly comparable GAAP financial measures can be found in the appendix to today’s presentation. With respect to our outlook, we have not presented a quantitative reconciliation of certain forward-looking non-GAAP financial measures to their most directly comparable GAAP financial measures because it is impractical to forecast certain special items without unreasonable efforts due to the variability and complexity associated with predicting the occurrence and financial impact

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