Alphabet Cl A (GOOGL) Stock Price, Quote & News

Company Profile

Alphabet Inc. offers various products and platforms in the United States, Europe, the Middle East, Africa, the Asia-Pacific, Canada, and Latin America. It operates through Google Services, Google Cloud, and Other Bets segments. The Google Services segment provides products and services, including ads, Android, Chrome, devices, Gmail, Google Drive, Google Maps, Google Photos, Google Play, Search, and YouTube. It is also involved in the sale of apps and in-app purchases and digital content in Goog...

Industry: Internet Content & Information

Sector: Communication Services

Phone: 650-253-0000

Website: abc.xyz

Address:

1600 Amphitheatre Parkway, Mountain View, United States

EddieHayes Jul. 5 at 6:58 PM

Berkshire Hathaway portfolio moves always matter because they signal regime shifts, not short term trades. New positions $DAL airline exposure, cyclical recovery bet $M retail name tied to consumer stability and turnaround optionality Increased position $GOOGL +204 percent, clear long term conviction in mega cap cash flow compounding Full exits $V $MA DPZ AMZN This is the real signal. Payments, e commerce, and consumer compounders reduced to zero exposure. Interpretation More weight into cyclicals and financial sensitivity names, while keeping selective mega cap tech as the core growth engine. This is less about growth chasing and more about cash flow durability and macro positioning.

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betterattrading Jul. 5 at 6:20 PM

$GOOGL why are we even down? That senior coder was easily replaceable

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TrendSpider Jul. 5 at 5:48 PM

Run it back 💨 $GOOG $GOOGL

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Etrading Jul. 5 at 3:42 PM

$GOOGL $LMT Damn LMT .. i KNEW IT

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AIWealthCircle Jul. 5 at 3:27 PM

Hyperscaler capex is projected to hit $757B in 2026 and $920B in 2027 That’s: 📈 +84% YoY in 2026 📈 +22% YoY in 2027 The key takeaway isn’t just the number it’s the durability of the AI infrastructure cycle. Spending is not slowing, it’s compounding across multiple layers of the stack. $MSFT $GOOGL $META $AMZN $ORCL remain the core beneficiaries as this buildout accelerates. We are still in the early-middle phase of infrastructure expansion, not the end. Today, there are a few more hated names where we're showing the same conviction. And I think history could repeat itself. Do you want the list?

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WallStreetBulll Jul. 5 at 3:02 PM

$GOOGL profits are expected to nearly double by 2028. In an economy where compute is the scarcest input, the company with the lowest internal cost per token wins out. Google stands as the only hyperscaler running its frontier model end-to-end on its own silicon, with Gemini trained entirely on proprietary TPUs.

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DeepSeaTurtle Jul. 5 at 2:57 PM

$GOOGL is increasingly being priced as a full-stack AI compounding machine, not just a search ad business. If profit truly trends toward near doubling by 2028, the market is really anchoring on one idea: compute economics. When tokens become the new unit of production, the winner is whoever produces them at the lowest internal cost. Google stands out here because it is vertically integrated end-to-end, running frontier models like Gemini on its own TPU stack rather than relying purely on external GPU supply chains. That shifts the narrative from “AI user” to “AI producer with cost advantage.” Still early in how the market assigns margin premium to that structure.

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WhaleTracker_ Jul. 5 at 2:48 PM

$GOOGL Forward estimates are increasingly pointing to a scenario where profits could nearly double by 2028, driven by AI monetization and cloud scaling. The key debate in the market is shifting away from “who has the best model” toward “who has the lowest cost per unit of compute.” When compute becomes the bottleneck input of the economy, cost efficiency at the infrastructure level becomes the real competitive edge. Google stands out as the only hyperscaler running a fully integrated stack - from hardware to model - with its frontier AI system (Gemini) trained end-to-end on its own TPU silicon. That vertical integration changes the margin structure of AI at scale, especially if inference demand continues compounding.

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BullEngine Jul. 5 at 2:46 PM

AI capex is becoming a real macro force. $GOOGL $AMZN $META $MSFT $ORCL Projected AI spending could hit ~3.2% of US GDP by 2027. If that plays out, annual capex would top national defense. Huge signal for the AI buildout, but also a reminder how much is riding on this spend cycle.

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BreakoutLife Jul. 5 at 2:43 PM

AI capex is quietly becoming one of the largest macro forces in markets. $GOOGL $AMZN $META $MSFT $ORCL Combined AI-related capex across these hyperscalers is projected to scale sharply over the next few years: ~2.5% of US GDP in 2026 (up from ~1.5% in 2025) ~3.2% of US GDP by 2027 (if estimates hold) For context, that would place annual AI infrastructure spending above projected US defense spending (~2.7% of GDP). On a dollar basis: ~ $800B projected AI capex in 2026 ~ $1.1T projected in 2027 What stands out is the scale: this is no longer a tech sub-cycle - it is becoming a macro-level capital allocation shift across the entire US economy.

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Macron and Modi turn on personal charm offensives as France and India race to secure AI investment

GOOGL AMZN MSFT

Jul 3, 2026, 3:10 AM EDT - 2 days ago

AI race weakens climate pledges at Google, Amazon

AMZN GOOGL

Jul 3, 2026, 12:02 AM EDT - 2 days ago

Market Cap	4,360.67B
Revenue (ttm)	402.84B
Net Income (ttm)	132.17B
EPS (ttm)	N/A
PE Ratio	27.55
Forward PE	25.13
Profit Margin	32.81%
Debt to Equity Ratio	0.16

Volume	25,999,301
Avg Vol	33,542,281
Day's Range	N/A - N/A
Shares Out	12.12B
Stochastic %K	87%
Beta	1.24
Analysts	Strong Sell
Price Target	$433.67