#USEarningsSeason #ShareWeekly

US Q3 2026 Earnings Season:

NVIDIA, Microsoft, Alphabet, Amazon, Apple and Meta — Prices, Percentages and My Market View
The US third-quarter earnings season is putting technology giants under the microscope. Tesla and Meta have reported, while attention shifts to Microsoft, Alphabet, Amazon, Apple and NVIDIA. Three questions matter: which company offers the strongest opportunity, can AI spending create lasting growth, and does beating estimates always lift a stock?

My view is disciplined: NVIDIA offers direct AI infrastructure exposure; Microsoft offers diversified cloud and enterprise AI. Valuation, cash flow and guidance matter more than headlines.

EARNINGS CALENDAR AND ESTIMATES
The expected calendar has Microsoft and Alphabet around October 28, Amazon around October 29, Apple around November 2, and NVIDIA expected in November. Confirm official investor-relations announcements before trading.

Approximate pre-release consensus:

• Microsoft: revenue $90.6–$90.7B; adjusted EPS $4.71–$4.72; revenue growth around 16.7% year over year.

• Alphabet: revenue around $128B; estimated growth above 25%.

• Amazon: revenue around $202.2B; EPS $1.96–$2.01; revenue growth around 12.3%.

• Apple: revenue around $113.2B; EPS $1.98–$1.99.

• NVIDIA: revenue around $109B; adjusted EPS $2.47–$2.49.

These are estimates, not confirmed results. Figures vary by provider and can change. Markets will judge surprises and guidance.

STOCK PRICES AND VALUATION
Reported October 23, 2026 references, not live quotes:

• Microsoft: $524.51 (+0.66%), market cap about $3.90T, trailing P/E near 29.2; about 5.3% below its $553.72 52-week high.

• Alphabet: $317.28 (-1.08%), about 21.6% below its $404.47 52-week high.

• Amazon: around $248.00 (-0.95%).

• Meta: around $642.62 (-0.96%).

• NVIDIA: close reference around $212.21, after-hours near $213.31.

These dated prices must be checked against current quotes before trading. Verify Apple's historical close rather than guessing.

META: REVENUE GROWTH VERSUS PROFITABILITY
Meta reported Q3 revenue of $64.601B, up 26% from $51.242B. Costs rose 68% to $51.613B, operating income fell 37% to $12.988B, and operating margin declined to 20% from 40%.

Diluted EPS was $3.83 versus $1.05 a year earlier, but different tax and legal-charge effects complicate comparison. A $9.89B legal charge affected results; Meta's adjusted presentation indicated operating income around $22.88B and EPS near $7.40.

Operating cash flow was $32.79B, capex $34.91B and free cash flow -$2.12B. Cash and marketable securities totaled $82.45B. Daily active people reached 3.64B (+3%); ad impressions rose 10%, and average ad price increased 14%. Q4 revenue guidance was $73–$76B.

My view is mixed but constructive: advertising is powerful, but costs and AI infrastructure spending pressure cash flow. Investors need proof that AI returns justify the investment.

NVIDIA: MY TOP AI INFRASTRUCTURE PICK
NVIDIA is my preferred direct AI infrastructure exposure, with advantages in accelerators, networking, software and its developer ecosystem. Consensus revenue near $109B and adjusted EPS of $2.47–$2.49 are expectations, not results.

Bullish: cloud providers expand AI capacity and guidance rises. Bearish: customers delay purchases, competitors gain share, margins weaken or hyperscalers cut capex. A big beat may still disappoint if expectations are extreme. I would avoid chasing a pre-report spike and prefer a pullback to verified support or a post-report breakout confirmed by volume and guidance.

MICROSOFT: DIVERSIFIED AI MONETIZATION
Microsoft can monetize AI through Azure, Microsoft 365, security and enterprise subscriptions, embedding features into products customers already use. At $524.51, its market cap was around $3.90T and trailing P/E near 29.2.

Consensus expected revenue of $90.6–$90.7B and adjusted EPS of $4.71–$4.72.

Watch Azure, Copilot adoption, margins, capex and guidance. Faster cloud growth is bullish; spending outpacing monetization is bearish. Check support and resistance on a current chart.

ALPHABET: AI OPPORTUNITY AND SEARCH RISK
Alphabet combines Search, YouTube, Google Cloud and AI research. At $317.28, it was about 21.6% below its $404.47 52-week high. AI may improve search and cloud, but AI answers could reduce clicks or alter advertising economics. Watch ad growth, YouTube, cloud profitability, capex, free cash flow and guidance. Better cloud margins are positive; weaker search monetization or costs rising without returns are warning signs.

AMAZON: AWS AND CASH FLOW
Amazon consensus was around $202.2B revenue and $1.96–$2.01 EPS. AWS, ads and retail efficiency drive the case, but data centers, chips, power and fulfillment require investment. AWS acceleration and better margins are bullish; weaker cloud demand or cash flow is bearish. A sales beat with falling margins may not lift the stock.

APPLE: WILL AI DRIVE UPGRADES?
Apple consensus was around $113.2B revenue and $1.98–$1.99 EPS. Its installed base could help AI features drive upgrades and services engagement, but timing is uncertain. Watch iPhone sales, services, gross margin and guidance. Strong upgrades are bullish; weak demand or unclear AI monetization warrants caution.

CAN AI SPENDING CREATE LASTING GROWTH?
AI requires chips, memory, networking, storage, electricity, cooling and data centers. The opportunity is large, but spending alone does not prove profitability.
NVIDIA and other suppliers can earn revenue when equipment ships.

Microsoft, Alphabet, Amazon and Meta must turn capacity into cloud sales, subscriptions, advertising improvements or new services.

Suppliers may have clearer near-term revenue visibility; buyers could capture more long-term value if AI products become durable businesses.

For illustration, a $100B investment seeking a 10% annual economic return would need $10B in annual benefit before financing, depreciation, operating costs and replacement capital. Revenue growth alone is not enough; incremental profit and cash flow matter.

I will look for growing AI revenue, stronger cash flow and returns that remain attractive if spending slows. AI could boost productivity, but overbuilding and weak monetization remain risks.

DOES AN EARNINGS BEAT ALWAYS LIFT A STOCK?
No. Markets trade the gap between expectations and reality, not just the headline.

Example A: a stock trades at $100 with expected EPS of $2.00. It reports $2.20, a 10% beat, but cuts guidance. The stock could fall 5% to $95.

Example B: a stock at $100 reports EPS of $1.95 against $2.00 expected, a 2.5% miss, but raises future guidance significantly. The stock could rise 4% to $104. These are hypothetical examples, not actual moves or forecasts.

I check the EPS surprise, revenue growth, margins, guidance and the stock's pre-earnings move. A 15% rally before results can leave little room for disappointment. A stock that has fallen sharply may rally on modestly better news because expectations are low. Guidance often matters more than the headline.

RATES, LIQUIDITY AND SENTIMENT
Treasury yields, inflation, Fed expectations and growth also shape earnings reactions. Rising yields can pressure growth-stock valuations; falling yields may help when growth remains resilient. Monitor 10-year and 2-year yields, inflation, Fed communication, S&P 500/Nasdaq breadth, technology volume and options volatility. Strong results with weak market breadth may produce a limited rally. Above-average breakout volume helps confirmation but never guarantees continuation.

BULLISH, BEARISH AND BASE CASES
Bullish: Microsoft and Alphabet raise guidance, Amazon improves cloud profitability, Apple shows resilient demand and NVIDIA maintains strong AI growth.

Bearish: guidance disappoints, capex rises, free cash flow weakens and investors question AI returns.

Individual volatile stocks could drop 5%–10%; this is a risk scenario, not a market-wide prediction.

Base case: reactions diverge, with companies generating AI revenue potentially outperforming those spending without clear monetization.

TRADING STRATEGY AND RISK MANAGEMENT
Earnings are uncertain. Before trading, confirm price, support, resistance, invalidation and maximum loss. Before earnings, consider a smaller position because gaps can be sharp. After earnings, wait for results, guidance and price confirmation, accepting that the first move may be missed. Stops cannot guarantee an exact exit during a gap. Diversify and set risk limits before entering.

MY RANKING AND FINAL VIEW
NVIDIA: top choice for direct AI infrastructure exposure, with valuation and hyperscaler spending as major risks.

Microsoft: preferred diversified platform for cloud and enterprise AI.
Alphabet: strong assets, but AI-driven changes to search economics remain uncertain.
Amazon: AWS and advertising potential, with spending efficiency crucial.

Apple: quality business, but AI-driven upgrades need clearer evidence.

Meta remains a major AI and advertising player, though costs and cash flow require close attention.
I would revise the ranking if NVIDIA demand slows, Azure weakens, Alphabet loses search monetization, AWS margins deteriorate, Apple upgrades disappoint or Meta's spending fails to generate returns.

CONCLUSION
AI investment is real, but spending alone does not guarantee profitable growth. I remain most bullish on NVIDIA for direct infrastructure exposure and favor Microsoft for diversified enterprise AI. Analyze the earnings surprise, judge guidance, evaluate cash flow and respect valuation. A good company is not always a good buy.