US Quarterly Earnings Season
The midterm-exam season for stocks: over roughly six weeks every listed company reports — single-stock fireworks and index direction both get set here.
What it is
US companies report quarterly (10-Q/10-K); each earnings season runs about six weeks: kicked off by the big banks (JPMorgan et al.), peaking when mega-cap tech reports in a tight cluster (usually weeks 3–4 of January/April/July/October), and closing with retail and consumer names. Reports include EPS, revenue, guidance and the earnings call — guidance often moves the stock more than the quarter itself.
Release schedule
| Item | Details |
|---|---|
| • | Cadence: quarterly, offset from calendar quarters by 3–4 weeks (Q1 results report in April) |
| • | Rhythm: banks lead (week 2 of Jan/Apr/Jul/Oct) → mega-cap tech clusters (weeks 3–4) → retail closes (around week 6) |
| • | Timing: pre-market (06:00–09:00 ET) or after the close (16:00–16:30 ET) — after-hours pricing starts immediately |
| • | Contents: EPS (vs consensus), revenue (vs consensus), forward guidance (next quarter/full year), call Q&A |
| • | Calendar tools: Nasdaq/Investing earnings calendars filter by date, market cap and sector |
Why it matters
Earnings are the fundamental anchor of prices: short-term moves are expectations and sentiment, but quarterly delivery (or its failure) sets the medium-term trend — upward revisions (the 2023–24 AI-driven tech cycle) underwrite bull markets; downward revisions accompany bears. For the index, mega-cap earnings growth has long outrun the rest — their report days are index events. The season is also the calendarized source of single-stock volatility: implied vol rises into prints and collapses after (IV crush).
Impact across assets
Typical impacts (using an EPS beat with raised guidance):
| Asset | Typical impact |
|---|---|
| The stock itself | After-hours/next-day gaps of +2–8% are common (guidance-led); misses or weak guides gap the other way just as hard |
| The sector | Leaders spill over: TSMC's print moves the whole semi chain; NFLX guidance moves streaming |
| The index (SPX/QQQ) | Mega-cap days are index days — a 7% weight gapping 5% contributes roughly 0.35% to the index directly |
| Options IV | IV rises into the print (event premium) and collapses after (IV crush) — long-straddle bets must be on before, and are dead after |
| Macro narrative | Season-level growth feeds the "earnings recession vs expansion" story — indirectly shaping Fed-path expectations |
How to read it
The standard read (the parts beyond "beat/miss" matter most):
| Dimension | How to read it |
|---|---|
| EPS & revenue vs consensus | The baseline: a double beat is neutral-to-positive; but "shrinking beat margins year over year" is itself a warning |
| Guidance | The market trades the future: raised next-quarter/full-year guidance = the bull case; "beat but weak guidance" regularly sinks the stock |
| The call details | Management's answers on demand/AI/margins change model assumptions — tone shifts in Q&A often outweigh the numbers |
| Valuation & the reaction function | The same beat punishes expensive stocks harder — names priced for perfection have the least error budget |
The index-level read: track the revision breadth of the S&P 500 — a majority of members revising earnings up = a medium-term tailwind. FactSet publishes weekly revision statistics.
Limitations & common mistakes
- "Beat" is not "up": expectations are priced — a smaller-than-usual beat or a mediocre guide still sells; priced-for-perfection names have no error budget.
- Underweighting guidance: beat-this-quarter-plus-missed-guidance is the most common down pattern — trade the future, not the past.
- One-off contamination: restructuring charges, investment gains and tax items distort EPS — non-GAAP EPS and revenue growth are the comparable lines.
- Pre-earnings direction bets: buying options at peak IV is paying top premium for a coin flip — event options carry poor expectancy for most traders; position control first.
- Cluster risk: mega caps report in the same two weeks — multiple same-day earnings in one portfolio stack the gap risk in one direction.
Related macro data
How it links to other macro data:
- With the Fed decision: rates set the valuation denominator, earnings the numerator — together they price stocks; cuts raise the error budget for beats. fed-rate
- With CPI: macro costs (wages/freight/commodities) and demand ultimately flow into earnings — CPI is the macro rehearsal before the season. cpi
- With geopolitical risk: supply disruptions and sanctions shape multinationals' guidance — geopolitics is the exogenous risk to any print. geopolitics
Symbols most sensitive to US Earnings Season
Symbol pages that list this data as a factor to watch:
FAQ
Q When does earnings season start?
3–4 weeks after each calendar quarter: mid-January (Q4 results), April (Q1), July (Q2), October (Q3). Banks lead traditionally; the two weeks of mega-cap tech follow — those matter most for the index.
Q Why did the stock fall despite a beat?
Expectations were priced: the market trades whether the beat was big enough for the valuation plus whether guidance rose. Shrinking beat margins, a mediocre guide or a cautious call all sink "beats" — especially on priced-for-perception names.
Q Why do I keep losing buying options before earnings?
IV crush: implied vol is bid up by event premium and collapses once the print lands — even a correct direction call can lose to the vol crush. Event options have poor expectancy for most traders; prefer position management ahead of the event.
Q How do I find a company's report date in advance?
The IR page and financial-data calendars (Nasdaq/Investing/Yahoo) confirm dates 2–4 weeks ahead; most companies keep a habit (e.g. Apple's late-Jan/Apr/Jul/Oct Thursday after-close slots).
Q How much does the season matter for the index?
Concentration decides: the mega caps are roughly 30% of the S&P 500 — their print days are index days. FactSet's quarterly growth statistics (total and ex-mega-cap) are the base tool for judging who drives the index.
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Download Camovia TrayThis page is educational content about macroeconomic data. It is not investment advice. Macro impacts involve multiple interacting factors — always combine them with your own risk management.