How Will Apple Stock React To Its Upcoming Earnings?

-6.82%
Downside
288
Market
268
Trefis
AAPL: Apple logo
AAPL
Apple

Apple (NASDAQ:AAPL) is set to report its earnings on Thursday, April 30, 2026. The company has $4.0 Tril in current market capitalization. Revenue over the last twelve months was $436 Bil, and it was operationally profitable with $141 Bil in operating profits and net income of $118 Bil. While the post-earnings stock reaction will depend on how the results and outlook stack up against investor expectations, a detailed look at historical results can aid you if you are an event-driven trader.

Here is how: either understand the historical odds and position yourself prior to the earnings announcement, or look at the correlation between immediate and medium-term returns post earnings and enter a trade one day after the announcement.

See earnings reaction history of all stocks

Individual stocks can be volatile, but markets aren’t spared either. Think 2008 and 2020. Volatility happens. See how Trefis’ Boston-based wealth management partner’s asset allocation framework handled both.

Relevant Articles
  1. Can Apple Stock Withstand These Pressures?
  2. The Structural Shift Lifting Apple Stock’s Valuation
  3. Pay Less, Gain More: DELL Tops Apple Stock
  4. Apple Stock Hands $514 Bil Back – Worth a Look?
  5. How Much Upside Can AAPL Stock Deliver?
  6. The Next Big Rally in Apple Stock Could Start Like This

Trefis: AAPL Stock Insights

Apple’s Historical Odds Of Positive Post-Earnings Return

Some observations on one-day (1D) post-earnings returns:

  • There are 19 earnings data points recorded over the last five years, with 8 positive and 11 negative one-day (1D) returns observed. In summary, positive 1D returns were seen about 42% of the time.
  • However, this percentage decreases to 33% if we consider data for the last 3 years instead of 5.
  • Median of the 8 positive returns = 4.0%, and median of the 11 negative returns = -1.3%

Additional data for observed 5-Day (5D) and 21-Day (21D) returns post earnings are summarized along with the statistics in the table below.

  Forward Returns
Earnings Date 1D 5D 21D
1/29/2026 0.5% 6.8% 2.6%
10/30/2025 -0.4% -0.6% 5.6%
7/31/2025 -2.5% 6.0% 12.0%
5/1/2025 -3.7% -7.4% -5.3%
1/30/2025 -0.7% -1.8% 0.3%
10/31/2024 -1.3% 0.7% 6.2%
8/1/2024 0.7% -2.3% 5.0%
5/2/2024 6.0% 6.7% 12.3%
2/1/2024 -0.5% 0.8% -6.2%
11/2/2023 -0.5% 2.7% 6.8%
8/3/2023 -4.8% -6.9% -0.8%
5/4/2023 4.7% 4.8% 8.5%
2/2/2023 2.4% 0.0% 2.2%
10/27/2022 7.6% -4.1% -0.2%
7/28/2022 3.3% 5.4% 4.1%
4/28/2022 -3.7% -4.2% -8.4%
1/27/2022 7.0% 8.6% 3.8%
10/28/2021 -1.8% -1.1% 5.2%
7/27/2021 -1.2% 0.4% 1.2%
SUMMARY STATS      
# Positive 8 11 14
# Negative 11 8 5
Median Positive 4.0% 4.8% 5.1%
Median Negative -1.3% -3.2% -5.3%
Max Positive 7.6% 8.6% 12.3%
Max Negative -4.8% -7.4% -8.4%

Correlation Between 1D, 5D and 21D Historical Returns

A relatively less risky strategy (though not useful if the correlation is low) is to understand the correlation between short-term and medium-term returns post earnings, find a pair that has the highest correlation, and execute the appropriate trade. For example, if 1D and 5D show the highest correlation, a trader can position themselves “long” for the next 5 days if the 1D post-earnings return is positive. Here is some correlation data based on a 5-year and a 3-year (more recent) history. Note that the correlation 1D_5D refers to the correlation between 1D post-earnings returns and subsequent 5D returns.

History 1D_5D 1D_21D 5D_21D
5Y History -30.2% -33.7% -12.9%
3Y History -6.2% -1.0% 13.2%

Separately, if you want upside with a smoother ride than an individual stock such as AAPL, consider the Trefis High Quality (HQ) Portfolio, with a collection of 30 stocks, has a track record of comfortably outperforming its benchmark that includes all 3 — the S&P 500, S&P mid-cap, and Russell 2000 indices. Why is that? As a group, HQ Portfolio stocks provided better returns with less risk versus the benchmark index; less of a roller-coaster ride, as evident in HQ Portfolio performance metrics.