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

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
SwingTraderPro1
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
0 · Reply
capitalthinktank
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.
0 · Reply
freedomtrader6
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 😏
0 · Reply
freedomtrader6
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? 😏
0 · Reply
ChipDistribution7
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!
0 · Reply
FibonacciTrader_
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.
0 · Reply
capitalthinktank
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.
0 · Reply
Coina
Coina May. 25 at 2:49 AM
$GOOGL bargain prices
0 · Reply
WuTangClam
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
2 · Reply
trader365
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.
0 · Reply
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SwingTraderPro1
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
0 · Reply
capitalthinktank
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.
0 · Reply
freedomtrader6
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 😏
0 · Reply
freedomtrader6
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? 😏
0 · Reply
ChipDistribution7
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!
0 · Reply
FibonacciTrader_
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.
0 · Reply
capitalthinktank
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.
0 · Reply
Coina
Coina May. 25 at 2:49 AM
$GOOGL bargain prices
0 · Reply
WuTangClam
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
2 · Reply
trader365
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.
0 · Reply
EdgexInvest
EdgexInvest May. 25 at 1:03 AM
0 · Reply
Stockmarketinvest
Stockmarketinvest May. 25 at 12:55 AM
$GOOG $GOOGL any Google stock under $400 is a gift accumulation time. Free money$SPY
0 · Reply
Ciprian99
Ciprian99 May. 24 at 10:46 PM
$QQQ $VOO $SPY $GOOGL $AMD Futures ripping !!!!!
0 · Reply
freedomtrader6
freedomtrader6 May. 24 at 10:27 PM
$GOOGL’s recent evolution is actually pretty easy to underestimate 😅 It’s not a “sudden breakout” story — it’s more like AI slowly permeating the entire business stack 📊 While $GOOGLE Cloud is accelerating, the other three core segments are also starting to lift at the same time, and that synchronized move is the key signal ⚡ A lot of people still think of it as a search company, but it now feels more like AI is re-optimizing the entire operating system of the business. Ads, cloud, and consumer products are all being quietly improved in parallel. It’s not that one segment is getting stronger — it’s that the whole machine is running faster. Whether it’s the best company in the world is debatable, but it definitely feels less like a traditional internet company every quarter 😏
0 · Reply
Kresmion
Kresmion May. 24 at 10:15 PM
@Kresmion $GOOGL Berkshire just tripled their position in Q1 2026 +204% QoQ. Position now worth $15.6B. Same quarter Berkshire trimmed CVX -35% and held AAPL flat at $57.8B. Berkshire doesn't 3x positions casually. Either fresh thesis or scaling existing conviction. Source: SEC EDGAR Q1 2026 13F
0 · Reply
FibonacciTrader_
FibonacciTrader_ May. 24 at 10:11 PM
2026 mega-cap performance snapshot The top of the market is clearly not moving in sync anymore , dispersion is driving returns: $NVDA +15.5% AI compute demand still the core growth engine $GOOGL +22.4% AI integration across search + cloud monetization $AAPL +13.6% steady ecosystem + services resilience $MSFT -13.5% valuation compression + rotation pressure phase $AMZN +15.4% AWS strength + efficiency gains + AI workload tailwind This is a selective leadership market, where AI infrastructure exposure and execution clarity are separating winners from laggards rather than broad index beta doing the lifting
0 · Reply
capitalthinktank
capitalthinktank May. 24 at 10:05 PM
The 2026 market performance for the world's largest public companies highlights a significant divergence in momentum. Micron $MU leads the pack with a staggering 163.1% gain, followed by strong growth from Google $GOOGL at 22.4%, Broadcom $AVGO at 19.7%, Nvidia $NVDA at 15.5%, Amazon $AMZN at 15.4%, and Apple at 13.6%. Walmart also posted a steady increase of 8%. On the downside, Eli Lilly dipped slightly by 0.9%, while Berkshire Hathaway, Tesla, and Meta Platforms declined by 3.2%, 5.3%, and 7.6% respectively. Microsoft faced the steepest correction among the group, dropping 13.5%.
1 · Reply
ChipDistribution7
ChipDistribution7 May. 24 at 9:18 PM
$GOOGL still holding that post-earnings base inside the EMA cloud. It’s basically coiling after the gap — not breaking down, but also not breaking out yet. Key level to watch is $397.44. If buyers reclaim that cleanly, momentum likely rotates back toward continuation mode and $426 comes back into play. Until then, it’s just digestion after a strong move — no real chase setup yet. Follow me 👉@ChipDistribution7 for real-time updates and everything. Let’s make moves!
0 · Reply
WuTangClam
WuTangClam May. 24 at 8:50 PM
$SPY pissing liberals off everywhere I go 😊 $NVDA $AMD $GOOGL $INTC
6 · Reply
Ashte
Ashte May. 24 at 8:30 PM
$AAPL $AMZN $GOOGL $MAGS $META AAPL brokeout! Or false one until proven AMZN found support GOOGL hit resistance META still in limbo!
0 · Reply
PhotonicDigger
PhotonicDigger May. 24 at 8:08 PM
$GOOGL upside looks limited here without a reset. Price structure suggests a potential pullback phase, with downside risk building in the short term. A 50% retracement from the March lows would imply a move back toward the 330 area. Chasing longs at current levels carries elevated risk and requires caution.
0 · Reply
JLInvest
JLInvest May. 24 at 7:15 PM
$SPY $QQQ $SMH $GOOGL $AMZN https://youtu.be/2SjgP8o-1LQ?si=_6An3HQYokPDnAiD
1 · Reply