What AAPL Typically Does After Earnings (10 Years of Data)

Apple Earnings Are Surprisingly Tame

Apple is the largest company by market cap and the most widely held stock in the world, which means its earnings reports are also some of the most thoroughly anticipated. The consensus estimates are tight, the options market prices in roughly 4-5% moves, and the actual reactions are often more muted than retail traders expect. Unlike Tesla or NVDA, Apple earnings rarely produce double-digit moves.

Across 40+ earnings reports from 2016 to early 2026, AAPL has closed up the day after earnings about 57% of the time, with an average 1-day move of roughly +1.3%. The median is closer to +0.9%. The standard deviation is about 4.0% — elevated relative to normal days but much tighter than TSLA (9%) or NVDA (6.5%).

Base Rates Show a Modest Post-Earnings Drift

Apple does show a mild post-earnings drift. The 5-day return has averaged roughly +1.7% with a win rate near 59%, and the 10-day return has averaged roughly +2.2% with a win rate near 58%. Both are modestly better than AAPL's unconditional baselines (roughly +0.7% for 5-day and +1.1% for 10-day).

These numbers confirm that Apple earnings do provide a small positive edge for buyers, but the edge is much smaller than for volatile names like NVDA. That's a feature, not a bug — it means Apple is more predictable but offers less opportunity for asymmetric trades.

• 1-day base rate: ~57% positive, average move ~+1.3%
• 5-day base rate: ~59% positive, average move ~+1.7%
• 10-day base rate: ~58% positive, average move ~+2.2%
• Standard deviation of 1-day post-earnings return: ~4.0%

iPhone Cycle Earnings Matter More

Not all Apple earnings are equal. The Q1 fiscal report (covering the holiday quarter with peak iPhone sales) has historically been the most impactful, with an average 1-day move of roughly +1.8% and wider dispersion. The Q3 fiscal report (covering the June quarter before new iPhone launches) has been the most muted, with average moves closer to +0.5%.

This matters for option sellers: implied volatility tends to be uniformly elevated across all four Apple reports, but realized volatility varies significantly by quarter. Q1 tends to realize close to implied; Q3 tends to realize well below implied, making it a more reliable vol-selling opportunity.

Guidance Reaction Is the Bigger Story

Apple's management historically provided quarterly guidance — a practice they abandoned in 2020 — and even without explicit guidance, the commentary on gross margins, services revenue, and Mac/iPad trends often drives the biggest moves on the call. Pattern-wise, the reaction often extends into the next day as analysts update their models and institutional investors rebalance.

The result: Apple's 24-hour post-earnings return (close of earnings day to close of next day) has averaged roughly +0.8%, which is meaningfully better than the 1-day (same-day) return. Traders who wait for the dust to settle before positioning have historically captured a cleaner signal.

Using Pattern Data for Apple Earnings

The simplest workflow: check the current Apple chart against Chart Library's historical analogs before the next print. If the analogs skew toward post-earnings winners, the setup is favorable; if they skew toward failed bounces or consolidations, skepticism is warranted.

from chartlibrary import ChartLibrary cl = ChartLibrary(api_key="cl_...") result = cl.intelligence("AAPL") print(f"5-day avg: {result.forward_returns['5d']['mean']:.1%}") print(f"5-day win rate: {result.forward_returns['5d']['win_rate']:.0%}")

For related reading, see our cup and handle pattern data post — Apple is one of the cleanest cup-and-handle candidates in the market historically.