PYPL Earnings History: 81% Beat Rate, But the Stock Still Falls

PayPal reports on May 5, 2026, now 28 days away. The company beats estimates at an elite rate, yet the next-day price action consistently disappoints longs. That disconnect is exactly why PYPL earnings history deserves a close look before you trade it.

The Beat Rate

PayPal has beaten earnings estimates 13 out of 16 quarters. That is an 81.2% beat rate. By raw consistency, PYPL ranks among the more reliable reporters in the large-cap universe.

Most traders see that number and assume it is a buy signal. The data says otherwise.

What Happens After a Beat

After a beat, PYPL only closes higher the next day 38.5% of the time. The average move after an earnings beat is -1.16%. The stock beats and still drops more often than not.

That is not a typo. An 81.2% beat rate paired with a negative average post-beat move means the market is pricing in the good news before the print.

The Pattern

The gap between beat rate and post-beat direction is the defining feature of PYPL earnings history. Beating expectations has never been enough to move the stock higher in a reliable way.

Misses are more directional. When PYPL misses, the stock goes down the next day 66.7% of the time. The downside reaction after a miss is nearly twice as reliable as the upside reaction after a beat.

The average post-beat move of -1.16% reinforces this pattern. Selling into strength is the market default when PayPal reports.

What This Means for Traders

Do not buy PYPL into earnings based on the beat rate alone. The average next-day move after a beat is negative, and the stock only rises 38.5% of the time after an earnings beat. The raw odds are against a long play.

Misses offer cleaner setups to the downside. A 66.7% next-day down rate after a miss is a meaningfully directional edge for traders leaning bearish heading into the print.

With earnings on May 5, size matters more than direction. The risk-reward for large positions around a PYPL print is historically poor. Every number above comes directly from the ChartOdds PYPL earnings dataset, built from 16 quarters of actual results.