Earnings Season
Earnings Calendar 2026
Earnings season is when the market gets its report card. Four times a year, the biggest companies in the world reveal whether the story matches the stock price. Here's how to track it, what to watch for, and how to position around it.
In This Guide
- 1. How Earnings Season Works
- 2. 2026 Earnings Season Schedule
- 3. Q4 2025 Earnings (Jan–Feb 2026)
- 4. Q1 2026 Earnings (Apr–May 2026)
- 5. Q2 2026 Earnings (Jul–Aug 2026)
- 6. Q3 2026 Earnings (Oct–Nov 2026)
- 7. The Magnificent Seven: What to Watch
- 8. How to Trade Around Earnings
- 9. Key Metrics to Track Each Quarter
- 10. Earnings Glossary
1. How Earnings Season Works
Public companies in the U.S. are required to report their financial results quarterly. Each reporting period covers three months of business activity, and results are typically released 3–6 weeks after the quarter ends. The four reporting windows — January/February, April/May, July/August, and October/November — are collectively called "earnings season."
Companies report both their actual results and provide guidance for the next quarter or full year. The market cares as much about guidance as it does about the reported numbers — a company can beat estimates but drop 10% if its forward guidance disappoints. This is why earnings season is the most volatile period of the year for individual stocks.
Key Insight
The biggest market-moving earnings reports are from the Magnificent Seven (Apple, Microsoft, Nvidia, Alphabet, Amazon, Meta, Tesla). These seven companies represent roughly 30% of the S&P 500's market cap — their results set the tone for the entire market.
2. 2026 Earnings Season Schedule
| Season | Quarter Covered | Reporting Window | Peak Weeks |
|---|---|---|---|
| Q4 2025 Earnings | Oct–Dec 2025 | Mid-Jan to Late Feb 2026 | Jan 20 – Feb 13, 2026 |
| Q1 2026 Earnings | Jan–Mar 2026 | Mid-Apr to Late May 2026 | Apr 21 – May 15, 2026 |
| Q2 2026 Earnings | Apr–Jun 2026 | Mid-Jul to Late Aug 2026 | Jul 21 – Aug 14, 2026 |
| Q3 2026 Earnings | Jul–Sep 2026 | Mid-Oct to Late Nov 2026 | Oct 20 – Nov 13, 2026 |
3. Q4 2025 Earnings (Jan–Feb 2026)
Q4 2025 earnings season kicked off in January 2026 with the major banks — JPMorgan, Goldman Sachs, and Wells Fargo — setting the tone. The season was broadly positive, with the S&P 500 reporting approximately 12% year-over-year earnings growth for the quarter, driven primarily by continued AI infrastructure spending and resilient consumer demand.
| Company | Ticker | Report Date | Key Theme |
|---|---|---|---|
| JPMorgan Chase | JPM | Jan 15, 2026 | Net interest income, credit quality |
| Goldman Sachs | GS | Jan 15, 2026 | Investment banking rebound |
| Netflix | NFLX | Jan 21, 2026 | Subscriber growth, ad tier revenue |
| Meta Platforms | META | Jan 29, 2026 | Ad revenue, AI capex guidance |
| Microsoft | MSFT | Jan 29, 2026 | Azure cloud growth, Copilot adoption |
| Apple | AAPL | Jan 30, 2026 | iPhone 17 cycle, services revenue |
| Alphabet | GOOGL | Feb 4, 2026 | Search AI, YouTube, cloud |
| Amazon | AMZN | Feb 6, 2026 | AWS growth, retail margins |
| Nvidia | NVDA | Feb 26, 2026 | Blackwell ramp, data center demand |
4. Q1 2026 Earnings (Apr–May 2026)
Q1 2026 earnings season will be the first full quarter to reflect the impact of new tariff policies announced in early 2026. Analysts will be watching closely for margin compression in consumer goods, retail, and technology hardware companies that rely on imported components. Companies with domestic supply chains or pricing power should fare better.
| Company | Ticker | Est. Report Date | Key Watch |
|---|---|---|---|
| JPMorgan Chase | JPM | ~Apr 14, 2026 | Loan growth, tariff impact on credit |
| Netflix | NFLX | ~Apr 21, 2026 | Q2 subscriber guidance |
| Tesla | TSLA | ~Apr 22, 2026 | Delivery volumes, margin recovery |
| Meta Platforms | META | ~Apr 29, 2026 | AI capex update, ad pricing |
| Microsoft | MSFT | ~Apr 29, 2026 | Azure growth rate, AI revenue |
| Apple | AAPL | ~May 1, 2026 | Tariff impact on iPhone pricing |
| Amazon | AMZN | ~May 1, 2026 | AWS margin, tariff on retail |
| Alphabet | GOOGL | ~May 5, 2026 | AI Overviews ad impact |
| Nvidia | NVDA | ~May 28, 2026 | Blackwell supply, China restrictions |
Note: Q1 2026 dates are estimates based on historical reporting patterns. Confirm exact dates on each company's investor relations page.
5. Q2 2026 Earnings (Jul–Aug 2026)
Q2 2026 earnings will cover April through June — the first full quarter of summer consumer spending and the second quarter to reflect tariff impacts. Retail, consumer discretionary, and travel stocks will be in focus. The comparison period (Q2 2025) was strong for most sectors, setting a high bar for year-over-year growth.
Nvidia's Q2 2026 report (expected late August) will be the most watched single earnings event of the year. The company's data center revenue trajectory and commentary on AI infrastructure spending will set the tone for the entire technology sector.
6. Q3 2026 Earnings (Oct–Nov 2026)
Q3 2026 earnings season in October and November will coincide with the U.S. midterm election cycle and the Federal Reserve's September and November FOMC meetings. This creates an unusually macro-heavy backdrop for earnings season — expect heightened volatility as political and monetary policy uncertainty intersects with corporate results.
The holiday season pre-read will be critical: retailers and consumer companies will provide Q4 guidance that effectively tells you how confident they are in the consumer heading into the most important spending period of the year.
7. The Magnificent Seven: What to Watch
| Company | The #1 Metric to Watch | The Risk to Monitor |
|---|---|---|
| Apple (AAPL) | Services revenue growth (now >$100B run rate) | iPhone demand in China, tariff cost pass-through |
| Microsoft (MSFT) | Azure cloud revenue growth rate (needs to stay above 30%) | Copilot monetization timeline, OpenAI dependency |
| Nvidia (NVDA) | Data center revenue and gross margin | China export restrictions, Blackwell supply constraints |
| Alphabet (GOOGL) | Search revenue vs. AI Overviews cannibalization | DOJ antitrust remedies, YouTube ad growth |
| Amazon (AMZN) | AWS operating margin | Tariff impact on retail, logistics cost inflation |
| Meta (META) | Ad revenue per user, AI capex guidance | Regulatory risk, Reality Labs burn rate |
| Tesla (TSLA) | Automotive gross margin (ex-credits) | Delivery volume vs. demand, FSD revenue recognition |
8. How to Trade Around Earnings
Earnings are the highest-risk, highest-reward events in stock trading. A few frameworks for navigating them:
The "buy the rumor, sell the news" effect. Stocks often rally in the weeks leading up to earnings as anticipation builds, then sell off even on a beat because the good news was already priced in. This is especially common for high-profile names like Nvidia and Apple. If you're long into earnings, consider trimming before the report.
Implied move vs. actual move. Options markets price in an "implied move" for earnings — the expected percentage swing in either direction. You can find this on any options chain. If the implied move is 8% and the stock typically moves 5% on earnings, the options are expensive. If the implied move is 5% and the stock typically moves 10%, the options are cheap.
Focus on guidance, not the beat. A company can beat EPS estimates by $0.10 and still drop 15% if it guides revenue below consensus. The market is always forward-looking — it cares more about what's coming than what just happened.
Watch Out
Never hold a large concentrated position through earnings unless you've done deep fundamental work and are comfortable with a 20–30% adverse move. Even well-prepared analysts are frequently wrong about earnings outcomes. Size your positions accordingly.
9. Key Metrics to Track Each Quarter
| Metric | What It Tells You | Where to Find It |
|---|---|---|
| EPS Beat/Miss | Whether the company earned more or less than analysts expected | Earnings press release, Bloomberg, FactSet |
| Revenue Beat/Miss | Whether top-line growth met expectations | Same as above |
| Gross Margin | Profitability before operating expenses — shows pricing power and cost control | Income statement |
| Operating Margin | Profitability after operating expenses — shows operational efficiency | Income statement |
| Free Cash Flow | Cash generated after capital expenditures — the real measure of financial health | Cash flow statement |
| Full-Year Guidance | Management's forecast for the rest of the year — the most market-moving disclosure | Earnings call, press release |
| Beat Rate (S&P 500) | % of S&P 500 companies beating EPS estimates (historically ~70%) | FactSet Earnings Insight (weekly) |
10. Earnings Glossary
EPS (Earnings Per Share)
Net income divided by shares outstanding. The most commonly cited earnings metric.
Consensus Estimate
The average of analyst forecasts for a company's EPS or revenue. A 'beat' means the actual result exceeded this.
Whisper Number
The unofficial, often higher EPS estimate circulating among traders — sometimes more predictive than the consensus.
Guidance
Management's forward-looking forecast for the next quarter or full year. Often more market-moving than reported results.
Earnings Surprise
The percentage difference between actual EPS and the consensus estimate. Positive surprise = beat; negative = miss.
Pre-market / After-hours
Most earnings are released before the market opens (pre-market) or after it closes (after-hours) to allow investors time to process the news.
Conference Call
The earnings call where management discusses results and takes analyst questions. Transcripts are publicly available.
10-Q
The quarterly financial report filed with the SEC — the official, audited version of earnings results.
10-K
The annual financial report filed with the SEC — the most comprehensive disclosure of a company's financials.
Beat and Raise
When a company beats current quarter estimates AND raises forward guidance — the most bullish earnings outcome.
Implied Move
The expected earnings-driven price swing priced into options markets, calculated from at-the-money straddle prices.
Earnings Yield
EPS divided by share price — the inverse of the P/E ratio. Useful for comparing stocks to bond yields.
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