Will Oracle’s AI Gamble Pay Off This Quarter?
Oracle (NYSE: ORCL) is set to report its fiscal Q4 2026 earnings on Wednesday, June 10, after the market close. Heading into the results, the stock has experienced significant volatility, dropping 12.9% over the past week as investors weigh immense cloud growth against massive capital expenditures.
The company currently has a market capitalization of roughly $609 billion, generating $64 billion in trailing twelve-month revenue, with strong operational profitability ($21 billion in operating profit and $16 billion in net income). In recent weeks, Wall Street’s focus has heavily centered on Oracle’s staggering Remaining Performance Obligations (RPO) backlog, which recently hit a record $553 billion (up 325% year-over-year). This explosive forward revenue visibility is driven by relentless demand for Oracle Cloud Infrastructure (OCI) and the recent launch of AI-powered “Fusion Agentic Applications.” However, this growth has come at a steep cost: the market is keeping a cautious eye on Oracle’s capital expenditures, which surged to $39.2 billion over the first nine months of the fiscal year to support its AI infrastructure buildout.
While the immediate stock reaction will ultimately depend on how Q4 results and forward guidance stack up against these high expectations, a detailed look at historical performance can give event-driven traders a clear edge. Notably, historical data shows exactly an equal chance — 50% — of a stock price rise or fall following Oracle’s earnings announcements.
Here is how you can use this data: 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 the 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.
Oracle’s Historical Odds Of Positive Post-Earnings Return
Some observations on one-day (1D) post-earnings returns:
- There are 20 earnings data points recorded over the last five years, with 10 positive and 10 negative one-day (1D) returns observed. In summary, positive 1D returns were seen 50% of the time.
- Notably, this percentage increases to 58% if we consider data for the last 3 years instead of 5.
- Median of the 10 positive returns = 12%, and median of the 10 negative returns = -4.4%
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 |
| 3/10/2026 | 9.2% | 3.5% | -7.4% |
| 12/10/2025 | -10.8% | -20.0% | -8.0% |
| 9/9/2025 | 35.9% | 27.0% | 19.5% |
| 6/11/2025 | 13.3% | 19.6% | 33.5% |
| 3/10/2025 | -3.1% | 3.5% | -16.3% |
| 12/9/2024 | -6.7% | -10.1% | -18.7% |
| 9/9/2024 | 11.4% | 21.8% | 24.6% |
| 6/11/2024 | 13.3% | 16.8% | 17.2% |
| 3/11/2024 | 11.7% | 12.0% | 7.0% |
| 12/11/2023 | -12.4% | -8.8% | -8.6% |
| 9/11/2023 | -13.5% | -11.4% | -13.4% |
| 6/12/2023 | 0.2% | 4.8% | 1.2% |
| 3/9/2023 | -3.2% | -2.4% | 8.4% |
| 12/12/2022 | -0.9% | -1.0% | 9.6% |
| 9/12/2022 | -1.3% | -10.4% | -18.6% |
| 6/13/2022 | 10.4% | 5.7% | 8.9% |
| 3/10/2022 | 1.5% | 5.2% | 6.0% |
| 12/9/2021 | 15.6% | 16.3% | 0.9% |
| 9/13/2021 | -2.8% | -3.1% | 7.9% |
| 6/15/2021 | -5.6% | -3.6% | 6.0% |
| SUMMARY STATS | |||
| # Positive | 10 | 11 | 13 |
| # Negative | 10 | 9 | 7 |
| Median Positive | 11.6% | 12.0% | 8.4% |
| Median Negative | -4.4% | -8.8% | -13.4% |
| Max Positive | 35.9% | 27.0% | 33.5% |
| Max Negative | -13.5% | -20.0% | -18.7% |
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 | -23.1% | -19.3% | -13.8% |
| 3Y History | -20.0% | -3.8% | 11.1% |
Is There Any Correlation With Peer Earnings?
Sometimes, peer performance can have an influence on post-earnings stock reaction. In fact, the pricing-in might begin before the earnings are announced. Here is some historical data on the past post-earnings performance of Oracle stock compared with the stock performance of peers that reported earnings just before Oracle. For fair comparison, peer stock returns also represent post-earnings one-day (1D) returns.
| 1D Return | Peer Post-Earnings 1D Return | |
|---|---|---|
| ORCL Earnings Dates | ORCL | CRM |
| 3/10/2026 | 9.2% | 1.6% |
| 12/10/2025 | -10.8% | 10.7% |
| 9/9/2025 | 35.9% | -1.7% |
| 6/11/2025 | 13.3% | -3.7% |
| 3/10/2025 | -3.1% | -11.2% |
| 12/9/2024 | -6.7% | 6.1% |
| 9/9/2024 | 11.4% | -5.1% |
| 6/11/2024 | 13.3% | -11.3% |
| 3/11/2024 | 11.7% | 2.1% |
| 12/11/2023 | -12.4% | 9.4% |
| 9/11/2023 | -13.5% | 4.8% |
| 6/12/2023 | 0.2% | -4.3% |
| 3/9/2023 | -3.2% | 6.8% |
| 12/12/2022 | -0.9% | -16.9% |
| 9/12/2022 | -1.3% | -8.0% |
| 6/13/2022 | 10.4% | 3.6% |
| 3/10/2022 | 1.5% | -4.2% |
| 12/9/2021 | 15.6% | -7.2% |
| 9/13/2021 | -2.8% | -2.6% |
| CORRELATION | -51.5% |
Separately, if you want upside with a smoother ride than an individual stock such as ORCL, consider the Trefis High Quality (HQ) Portfolio, with a collection of 30 stocks and 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.