PAGP Earnings

PAGP reported its earnings on 2026-05-08, showcasing a revenue of 12.47B against an estimate of 11.98B, resulting in a 4.09% surprise. The EPS was 0.24, surpassing the expected 0.62 by -61.29%. The stock experienced a -1.86% price change on the earnings day and a -0.51% change over the next five days, reflecting market reactions to the results.

Following PAGP's earnings announcement on 2026-05-08, the stock price moved by -1.86% on the day of the release. Over the subsequent five days, it saw a -0.51% change. Historically, PAGP's stock price tends to shift by an average of 2.84% in the 10 days leading up to earnings and 2.4% in the 10 days following, providing insight into potential market.

For 2026/Q2, analysts estimate PAGP's annual revenue to reach 11.90B, while the EPS is projected at 0.35. These estimates reflect recent revisions, with revenue estimates unchanged by 0% and EPS estimates unchanged by 0% over the past three months, indicating analyst expectation in the company's performance.

The correlation between PAGP's stock price and earnings forecast revisions shows that positive revisions in revenue or EPS often strengthen the stock's fundamentals. Over the past three months, revenue estimates for FY2025 were unchanged by 0%, while EPS estimates moved unchanged by 0%. This trend suggests that price dips could present buying opportunities for investors.

Based on historical trends, PAGP's stock price typically moves by 2.84% in the 10 days before its earnings and 2.4% in the 10 days after. For the upcoming 2026/Q2 earnings, analysts expect an EPS of 0.35 and revenue of 11.90B.

The earnings call presents a mixed outlook. While there is growth in the NGL segment and new opportunities in Permian and Eagle Ford, the company expects EBITDA guidance in the lower half of the range. The Q&A reveals cautious optimism with improving demand signals and strategic acquisitions but lacks clarity on growth targets and capital redeployment. The market cap suggests moderate reaction, leading to a neutral sentiment prediction as positive and negative factors balance each other out.