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

topstockalerts May. 25 at 9:26 PM

Billionaire investor Bill Ackman is once again drawing attention on Wall Street after making major portfolio moves through Pershing Square, reinforcing his long-term bullish view on the future of technology and AI-driven markets. Unlike many hedge fund managers, Ackman concentrates his investments in a small group of dominant companies with strong cash flow, global reach, and long-term growth potential. His portfolio remains heavily focused on firms tied to artificial intelligence, digital infrastructure, and cloud computing. Among his core holdings are Alphabet and Amazon, which Ackman sees as central players in the next phase of the global digital economy. His investment thesis suggests that the AI boom will not only benefit chipmakers, but especially the companies controlling the infrastructure, platforms, and services powering AI adoption worldwide. $MSFT $GOOGL $AMZN

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MorganHoratio May. 25 at 8:43 PM

🚨BREAKING: BRIDGEWATER INCREASES ITS IREN STAKE BY 161% Other positions: Initiated a new position in $TSM buying over 1M shares Increased $NVDA by 14% Increased $GOOGL by 15% Increased $AVGO by 41% Bridgewater’s Q1 13F reshuffle is a massive macro wake-up call! Initiating over 1M shares in $TSM, spiking $IREN by 161%, and boosting $AVGO by 41% isn't just standard diversification. This is an aggressive, high-conviction institutional rotation entirely away from enterprise software and straight into the physical bottlenecks of the AI hardware supercycle! With $NVDA and $GOOGL cementing the portfolio core, $TSM’s foundry monopoly and $IREN’s power-compute moat represent the ultimate tactical long weapons. Bridgewater is front-running the narrative that AI poses a structural threat to legacy SaaS, opting instead to corner raw capacity, memory, and energy. What is your main takeaway from Dalio's firm abandoning SaaS for raw compute?

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PhotonicDigger May. 25 at 8:07 PM

Using major cycle lows for Fib extensions helps frame the macro trend. $GOOGL has cleared the 3.618 level from the Financial Crisis lows around $338. This suggests the cycle is still expanding, not topping. The full extension target sits near $669.

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DietWater May. 25 at 6:37 PM

$GOOGL Show me this tomorrow 🤭😂

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JOEYBUYDEN May. 25 at 5:40 PM

$GOOGL $400.00+ 🏖️☀️

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FibonacciTrader_ May. 25 at 5:18 PM

Profit pools are undergoing a major reshuffle as AI infrastructure becomes the dominant driver of earnings power. Forward projections suggest $NVDA could emerge as the most profitable company globally by 2027, with AI compute and networking sitting at the center of this shift. Estimated landscape shows a concentrated profit stack: $NVDA ~$241B Samsung ~$230B $SK Hynix ~$212B $GOOGL ~$187B $MSFT ~$174B $AAPL ~$162B What stands out is the migration of margins toward compute, memory, and platform layers that scale AI workloads. For traders, this is less about static rankings and more about where incremental profits are flowing in real time.

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capitalthinktank May. 25 at 4:45 PM

$NVDA is expected to become the most profitable company in the world by 2027 as global profit pools continue shifting toward AI compute, memory, and the platforms scaling on top of both, with this trend driving projected profit scales of approximately NVDA at $241B, Samsung at $230B, SK Hynix at $212B, $GOOGL at $187B, $MSFT at $174B, and $AAPL at $162B.

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chursinow62 May. 25 at 4:21 PM

$GOOGL overvalued 🔽

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Ciprian99 May. 25 at 4:10 PM

I don’t feel myself when the stock market is closed 😔 $SPY $QQQ $AMD $GOOGL $SOFI

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chursinow62 May. 25 at 3:29 PM

$GOOGL Hedgies will get way tomorrow as $375 PT will be achieved through no Iranian /US deal regarding war

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Google I/O Key Takeaways: Gemini's Growth, Smart Glasses & Ties to Space Economy

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EU Prepares to Slap Google with the Largest Digital Markets Act Fine Yet

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topstockalerts May. 25 at 9:26 PM

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MorganHoratio May. 25 at 8:43 PM

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PhotonicDigger May. 25 at 8:07 PM

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DietWater May. 25 at 6:37 PM

$GOOGL Show me this tomorrow 🤭😂

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JOEYBUYDEN May. 25 at 5:40 PM

$GOOGL $400.00+ 🏖️☀️

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FibonacciTrader_ May. 25 at 5:18 PM

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capitalthinktank May. 25 at 4:45 PM

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chursinow62 May. 25 at 4:21 PM

$GOOGL overvalued 🔽

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Ciprian99 May. 25 at 4:10 PM

I don’t feel myself when the stock market is closed 😔 $SPY $QQQ $AMD $GOOGL $SOFI

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chursinow62 May. 25 at 3:29 PM

$GOOGL Hedgies will get way tomorrow as $375 PT will be achieved through no Iranian /US deal regarding war

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SwingTraderPro1 May. 25 at 3:04 PM

AI compute repricing framework -1 The AI infrastructure trade is increasingly splitting into a multi-layer pricing system, driven by tightening compute availability and rising long-term contract pricing power. Layer 1: Hyperscalers (demand + capacity control) $GOOGL cloud + AI model integration scale $MSFT enterprise AI + Azure capacity locking $AMZN AWS + custom silicon (Trainium ecosystem) $META AI-driven ad + infrastructure capex cycle $ORCL aggressive AI cloud backlog expansion These players are effectively locking in multi-year compute capacity agreements as scarcity increases, with RPO/backlog growth signaling structural demand outpacing supply The market is shifting from “AI hype” to compute scarcity pricing power being embedded directly into cloud economics

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capitalthinktank May. 25 at 2:47 PM

AI compute is being repriced higher via long-term contracts while spot markets tighten, leading to a layered AI infrastructure stack. Hyperscalers remain the primary buyers and builders, including $GOOGL, MSFT, AMZN, META, ORCL, BABA, locking multi-year capacity. Microsoft ~$627B RPO (+99% YoY), Oracle $553B+ AI commitments, Google Cloud $460B backlog (doubling), and Amazon $225B+ Trainium orders all reflect compute scarcity being priced in. Neoclouds like $CRWV, NBIS, IREN, $WYFI rent GPU capacity at market rates, with rapidly growing backlogs, showing demand being locked years ahead and pricing power shifting to fast-scale operators. A third layer includes HPC and energy infrastructure firms such as $APLD, $HUT, GLXY, WULF, RIOT, CIFR, CORZ, MARA, CLSK, HIVE, focused on power, land, grid access, and GW-scale data center execution.

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freedomtrader6 May. 25 at 2:35 PM

$GOOGL’s private market exposure is becoming harder and harder to ignore 😅📊 Most people still think of Google as ads + cloud. But the private portfolio is actually pretty significant: Anthropic: ~14% stake SpaceX: ~7% stake Physical Intelligence: lead investor Databricks: minority stake Stripe: co-lead investor At this point, it’s starting to look less like just a tech operator… and more like a hybrid of a cash-flow machine plus a strategic frontier-tech portfolio ⚡ Of course, these investments won’t suddenly show up in next quarter’s EPS. But over a long horizon, that combination of core business strength + embedded optionality becomes very interesting. Sometimes the market underestimates not the business itself… but the value hiding around the edges of the balance sheet 😏

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freedomtrader6 May. 25 at 2:11 PM

$ZETA is starting to look pretty interesting 😅 David Steinberg’s comment actually says a lot: deep integration across $META, $GOOGL, the open web, messaging, connected TV, and now OpenAI. 📊 If that ecosystem connectivity is real, then this isn’t just an ad-tech company — it starts looking more like a cross-platform marketing operating system. ⚡ A lot of companies talk about AI marketing, data unification, and omnichannel reach. The hard part isn’t the narrative — it’s actually stitching all those ecosystems together. If $ZETA can truly stay agnostic + deeply integrated, the opportunity could be much larger than people expect. But markets always come back to the same question: can that capability consistently translate into revenue and margin expansion? 😏

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ChipDistribution7 May. 25 at 1:54 PM

$ZETA is starting to look less like another ad-tech name and more like a cross-platform data infrastructure play. What caught my attention was Steinberg saying they’re integrated across $META, $GOOGL, connected TV, messaging, open web, and now even OpenAI ecosystems. That’s a pretty unique positioning if digital advertising keeps fragmenting across channels. The interesting part is they’re staying platform-agnostic while everyone else fights inside closed ecosystems. If brands want unified targeting + attribution across AI, social, streaming, and web traffic, that becomes valuable fast. Feels like the market still hasn’t fully priced in the AI distribution angle here. Follow me 👉@ChipDistribution7 for real-time updates and everything. Let’s make moves!

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FibonacciTrader_ May. 25 at 1:40 PM

Hyperscaler capex is entering a completely different regime. Consensus models already point from ~$380B in FY2025 to ~$1.03T by FY2028 (~39.5% CAGR), but even that may be conservative if AI infrastructure demand continues compounding at current rates. $NVDA leadership has floated a longer-term scenario where AI infra spend could approach $4T by 2030 — implying a much steeper acceleration beyond current forecasts. That level of investment doesn’t happen in isolation — it’s driven by $AMZN, $MSFT, $GOOGL, and $META scaling compute, networking, memory, and power infrastructure simultaneously. In markets like this, the real question isn’t if capex grows — it’s who sits in the supply chain when it does.

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capitalthinktank May. 25 at 1:21 PM

Last fall, $GOOGL was valued at nearly half of where it trades today. Around that time, CEO Sundar Pichai described parts of the AI surge as containing “elements of irrationality,” while also comparing AI’s long-term significance to the impact of the internet revolution. What stands out is that even companies leading the AI expansion recognized signs of excess speculation early on. Despite that, spending from hyperscalers like $AMZN and $MSFT, along with inference demand and enterprise adoption, has continued to accelerate much faster than many expected.

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Coina May. 25 at 2:49 AM

$GOOGL bargain prices

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WuTangClam May. 25 at 2:42 AM

$SPY there will be a lot of sharp pull backs and doomers trying to make you sell because correction seems likely but we are living in different times. Ive been seeing it everywhere on ST and FB. Even though bonds, war, inflation is a factor I think the earnings from alot of these AI companies are just incredible and will hold up market enough until we figure out how to resolve these issues with our economy. I did sell one of my long terms few months ago because that's just what I do when an account gets big enough but Im not worried about a .com type of crash, just yet.. spy 850 next year EZ. Don't get shaken out $NVDA $GOOGL $INTC $MU

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trader365 May. 25 at 1:13 AM

$ARM $GOOGL Buy ARM, Google's TPU infrastructure heavily utilizes Arm Holdings technology, while the core matrix multiplication math of the TPU accelerator is Google’s proprietary ASIC design, Google has replaced traditional x86 host processors with their own custom, Arm-based CPU called Axion.

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EdgexInvest May. 25 at 1:03 AM

$AAPL $GOOG $GOOGL $NKE

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Stockmarketinvest May. 25 at 12:55 AM

$GOOG $GOOGL any Google stock under $400 is a gift accumulation time. Free money$SPY

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Market Cap	4,640.06B
Revenue (ttm)	402.84B
Net Income (ttm)	132.17B
EPS (ttm)	N/A
PE Ratio	29.57
Forward PE	27.12
Profit Margin	32.81%
Debt to Equity Ratio	0.16

Volume	20,442,100
Avg Vol	28,003,816
Day's Range	N/A - N/A
Shares Out	12.12B
Stochastic %K	4%
Beta	1.26
Analysts	Strong Sell
Price Target	$430.69