COST Earnings

COST reported its earnings on 2026-05-28, showcasing a revenue of 70.53B against an estimate of 69.64B, resulting in a 1.28% surprise. The EPS was 4.93, surpassing the expected 4.91 by 0%. The stock experienced a -3.91% price change on the earnings day and a -3.35% change over the next five days, reflecting market reactions to the results.

Following COST's earnings announcement on 2026-05-28, the stock price moved by -3.91% on the day of the release. Over the subsequent five days, it saw a -3.35% change. Historically, COST's stock price tends to shift by an average of -0.28% in the 10 days leading up to earnings and -2.5% in the 10 days following, providing insight into potential market.

For 2026/Q4, analysts estimate COST's annual revenue to reach 92.66B, while the EPS is projected at 6.36. 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 COST'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 FY2026 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, COST's stock price typically moves by -0.28% in the 10 days before its earnings and -2.5% in the 10 days after. For the upcoming 2026/Q4 earnings, analysts expect an EPS of 6.36 and revenue of 92.66B.

The earnings call presents a mixed sentiment. While there are positive elements such as strategic pricing investments and international expansion plans, the lack of guidance and unclear management responses on key issues like same-store sales growth and special dividends create uncertainty. The Q&A section highlights some positive strategic initiatives but also reveals potential concerns about cost pressures and operational challenges. With no market cap data to assess volatility, a neutral prediction is appropriate, reflecting balanced positive and negative factors.