Market Cap 4,814.48B
Revenue (ttm) 402.84B
Net Income (ttm) 132.17B
EPS (ttm) N/A
PE Ratio 30.36
Forward PE 28.42
Profit Margin 32.81%
Debt to Equity Ratio 0.16
Volume 21,455,100
Avg Vol 28,756,109
Day's Range N/A - N/A
Shares Out 12.10B
Stochastic %K 98%
Beta 1.26
Analysts Strong Sell
Price Target $421.96

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
MeanReverter_
MeanReverter_ May. 9 at 3:21 PM
$GOOGL portfolio breakdown is basically a live risk map of where smart capital thinks the next cycle is going Big weight concentration tells the story: $CME – 26% (rates + liquidity backbone of the system) $PL – 25% (geospatial / defense mapping layer) $ASTS – 19% (satellite-to-cell connectivity bet) Then the satellite exposure: $RVMD – 8% ARM – 7% FRSH – 3% PATH – 2% TEM – 2% GTLB – 2% PRME – 1% This isn’t a passive basket — it’s a highly directional bet on infrastructure, data flow, and next-gen connectivity rails. When one of the largest capital allocators leans this hard into frontier infrastructure + AI adjacency, it’s usually not random positioning — it’s narrative confirmation before price fully follows. Curious about the full approach?👉 Check the @MeanReverter_
0 · Reply
KaShing01
KaShing01 May. 9 at 3:18 PM
$RZLV a $15+ stock company trading at $2+ (extremely cheap). $RZLV growing 7-10x rate, are profitable, have strategic partnerships with $MSFT & $GOOGL , top institutional ownership has now surpassed 10% of the total cap table, largely driven by the company’s inclusion in the Russell 2000 and 3000 indices (Blackrock, State Street, Geode Capital, UBS Group, Niven, Vanguard, etc). New Positions: Citadel, Jane Street, and Man Group recently too new stakes of $RZLV . That explains why CEO Daniel Wagner reportedly purchased 9 million shares personally in April 2026, signaling strong internal conviction.
1 · Reply
MeanReverter_
MeanReverter_ May. 9 at 3:10 PM
Market structure update — rotation into “real-world AI” + space infrastructure is accelerating fast FIB levels traders are tracking: PHYSICAL AI: $TSLA → 359 key equilibrium zone $AMZN → 245 macro control level $GOOGL → 307 trend continuation trigger $ISRG → 448 high-quality breakout ceiling SPACE EXPANSION: $RKLB → 73 momentum extension line ASTS → 64 satellite growth pivot PL → 27 speculative base rebuild zone BKSY → 30 defense-space revaluation level This isn’t narrative trading anymore — it’s capital flowing into physical deployment layers of AI and orbital infrastructure. Every dip is being treated like accumulation, not distribution. Curious about the full approach?👉 Check the @MeanReverter_
0 · Reply
NasdaqPulse
NasdaqPulse May. 9 at 2:54 PM
$NVDA just said the quiet part out loud. Jensen Huang called AI the “largest infrastructure buildout in human history” and the market still isn’t pricing in the full second-order winners yet. 👉Click to view @NasdaqPulse for timely updates amid the volatility. Everyone is chasing GPUs, but the REAL bottleneck is becoming power, networking, fiber, and optical connectivity. That’s why names tied to AI data center scaling like $LITE, COHR and even GLW keep showing up in institutional flows. No ultra-scale AI cluster works without faster interconnects and massive bandwidth upgrades. Meanwhile hyperscalers $MSFT Azure, $AMZN AWS and $GOOGL GCP are locked in an AI arms race that requires billions in capex every quarter. This is no longer just a semiconductor cycle… it’s a full-stack infrastructure supercycle. The market may still be underestimating how explosive the downstream AI supply chain could become over the next 12-24 months.
0 · Reply
StockMacroView
StockMacroView May. 9 at 2:44 PM
AI is shifting from software to a full-scale infrastructure rebuild. $NVDA CEO Jensen Huang called AI “the largest infrastructure buildout in human history,” reinforcing this during discussions with GLW Corning. As AI scales, the bottlenecks are no longer just compute—but interconnect speed, cluster size, and energy systems. This is reshaping capital flows: networking, optical, and power infrastructure are gaining importance, with COHR and LITE being repriced accordingly. Behind it all are the expanding hyperscalers $GOOGL, $AMZN, and MSFT driving demand at scale. The question is: is the market pricing chips—or the entire AI infrastructure stack? Free sharing and subscription 👉 @StockMacroView.
0 · Reply
Ctokas
Ctokas May. 9 at 9:38 AM
$GOOGL sneaky strength, nobody talking about it yet
0 · Reply
GlobalMarketBulletin
GlobalMarketBulletin May. 9 at 3:57 AM
$AMZN $GOOGL $MSFT $NVDA $NOW From Palantir and Snowflake to CrowdStrike and Arista Networks, these American AI stocks are showing why investors are still chasing companies with real artificial intelligence exposure, strong revenue growth, and analyst upside potential. https://globalmarketbulletin.com/top-5-american-ai-stocks-with-30-to-100-upside-potential/
0 · Reply
topstockalerts
topstockalerts May. 9 at 2:33 AM
The Trump administration is preparing an executive order to expand cybersecurity cooperation between U.S. agencies and AI companies in response to growing AI-driven cyber threats. The plan would update existing information-sharing programs to help protect government and critical infrastructure networks without requiring mandatory government approval of advanced AI models. The move follows concerns around Anthropic’s Mythos model, which reportedly showed powerful capabilities for identifying network vulnerabilities. While earlier discussions considered mandatory pre-release testing of AI systems, the administration now appears focused on voluntary collaboration with developers. White House officials emphasized they will not “pick winners and losers” in AI, while stressing the need to balance innovation with national security. The Commerce Department has also expanded a voluntary AI safety-testing initiative involving Google, Microsoft, xAI, OpenAI, and Anthropic. $GOOGL $MSFT $OPENAI
0 · Reply
DragonAlgoTrades
DragonAlgoTrades May. 9 at 12:22 AM
🐉 $GOOGL CALL — DragonAlgo® Signal Contract: GOOGL CALL Expiry: 2026-05-11 | Strike: $400.00 | Type: CALL Option Plan (premium): Entry: $3.15 Stop: $2.27 TP1: $4.09 TP2: $5.35 TP3: $7.56 Risk preset by model constraints. 🔗 https://dragonalgo.com
0 · Reply
NasdaqPulse
NasdaqPulse May. 8 at 10:53 PM
One of the most underpriced constraints in the AI buildout isn’t silicon anymore — it’s electricity. 👉Click to view @NasdaqPulse for timely updates amid the volatility. Everyone is focused on chips, but the real limiting factor at scale is power generation + delivery infrastructure. Names like $CEG and CCJ are only part of the picture. The deeper trade sits in the broader ecosystem: wholesale power producers, independent generators, grid operators, and infrastructure providers that ultimately feed hyperscale demand from $AMZN AWS, $GOOGL GCP, $MSFT Azure, and $META. The math is simple but brutal: as clusters scale from thousands → millions of accelerators, energy demand doesn’t grow linearly — it compounds. Without stable, scalable power, compute is just idle hardware. The market is still valuing this as a “utility sub-theme,” not as a core bottleneck in the AI infrastructure stack. That gap is where mispricing lives.
0 · Reply
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MeanReverter_
MeanReverter_ May. 9 at 3:21 PM
$GOOGL portfolio breakdown is basically a live risk map of where smart capital thinks the next cycle is going Big weight concentration tells the story: $CME – 26% (rates + liquidity backbone of the system) $PL – 25% (geospatial / defense mapping layer) $ASTS – 19% (satellite-to-cell connectivity bet) Then the satellite exposure: $RVMD – 8% ARM – 7% FRSH – 3% PATH – 2% TEM – 2% GTLB – 2% PRME – 1% This isn’t a passive basket — it’s a highly directional bet on infrastructure, data flow, and next-gen connectivity rails. When one of the largest capital allocators leans this hard into frontier infrastructure + AI adjacency, it’s usually not random positioning — it’s narrative confirmation before price fully follows. Curious about the full approach?👉 Check the @MeanReverter_
0 · Reply
KaShing01
KaShing01 May. 9 at 3:18 PM
$RZLV a $15+ stock company trading at $2+ (extremely cheap). $RZLV growing 7-10x rate, are profitable, have strategic partnerships with $MSFT & $GOOGL , top institutional ownership has now surpassed 10% of the total cap table, largely driven by the company’s inclusion in the Russell 2000 and 3000 indices (Blackrock, State Street, Geode Capital, UBS Group, Niven, Vanguard, etc). New Positions: Citadel, Jane Street, and Man Group recently too new stakes of $RZLV . That explains why CEO Daniel Wagner reportedly purchased 9 million shares personally in April 2026, signaling strong internal conviction.
1 · Reply
MeanReverter_
MeanReverter_ May. 9 at 3:10 PM
Market structure update — rotation into “real-world AI” + space infrastructure is accelerating fast FIB levels traders are tracking: PHYSICAL AI: $TSLA → 359 key equilibrium zone $AMZN → 245 macro control level $GOOGL → 307 trend continuation trigger $ISRG → 448 high-quality breakout ceiling SPACE EXPANSION: $RKLB → 73 momentum extension line ASTS → 64 satellite growth pivot PL → 27 speculative base rebuild zone BKSY → 30 defense-space revaluation level This isn’t narrative trading anymore — it’s capital flowing into physical deployment layers of AI and orbital infrastructure. Every dip is being treated like accumulation, not distribution. Curious about the full approach?👉 Check the @MeanReverter_
0 · Reply
NasdaqPulse
NasdaqPulse May. 9 at 2:54 PM
$NVDA just said the quiet part out loud. Jensen Huang called AI the “largest infrastructure buildout in human history” and the market still isn’t pricing in the full second-order winners yet. 👉Click to view @NasdaqPulse for timely updates amid the volatility. Everyone is chasing GPUs, but the REAL bottleneck is becoming power, networking, fiber, and optical connectivity. That’s why names tied to AI data center scaling like $LITE, COHR and even GLW keep showing up in institutional flows. No ultra-scale AI cluster works without faster interconnects and massive bandwidth upgrades. Meanwhile hyperscalers $MSFT Azure, $AMZN AWS and $GOOGL GCP are locked in an AI arms race that requires billions in capex every quarter. This is no longer just a semiconductor cycle… it’s a full-stack infrastructure supercycle. The market may still be underestimating how explosive the downstream AI supply chain could become over the next 12-24 months.
0 · Reply
StockMacroView
StockMacroView May. 9 at 2:44 PM
AI is shifting from software to a full-scale infrastructure rebuild. $NVDA CEO Jensen Huang called AI “the largest infrastructure buildout in human history,” reinforcing this during discussions with GLW Corning. As AI scales, the bottlenecks are no longer just compute—but interconnect speed, cluster size, and energy systems. This is reshaping capital flows: networking, optical, and power infrastructure are gaining importance, with COHR and LITE being repriced accordingly. Behind it all are the expanding hyperscalers $GOOGL, $AMZN, and MSFT driving demand at scale. The question is: is the market pricing chips—or the entire AI infrastructure stack? Free sharing and subscription 👉 @StockMacroView.
0 · Reply
Ctokas
Ctokas May. 9 at 9:38 AM
$GOOGL sneaky strength, nobody talking about it yet
0 · Reply
GlobalMarketBulletin
GlobalMarketBulletin May. 9 at 3:57 AM
$AMZN $GOOGL $MSFT $NVDA $NOW From Palantir and Snowflake to CrowdStrike and Arista Networks, these American AI stocks are showing why investors are still chasing companies with real artificial intelligence exposure, strong revenue growth, and analyst upside potential. https://globalmarketbulletin.com/top-5-american-ai-stocks-with-30-to-100-upside-potential/
0 · Reply
topstockalerts
topstockalerts May. 9 at 2:33 AM
The Trump administration is preparing an executive order to expand cybersecurity cooperation between U.S. agencies and AI companies in response to growing AI-driven cyber threats. The plan would update existing information-sharing programs to help protect government and critical infrastructure networks without requiring mandatory government approval of advanced AI models. The move follows concerns around Anthropic’s Mythos model, which reportedly showed powerful capabilities for identifying network vulnerabilities. While earlier discussions considered mandatory pre-release testing of AI systems, the administration now appears focused on voluntary collaboration with developers. White House officials emphasized they will not “pick winners and losers” in AI, while stressing the need to balance innovation with national security. The Commerce Department has also expanded a voluntary AI safety-testing initiative involving Google, Microsoft, xAI, OpenAI, and Anthropic. $GOOGL $MSFT $OPENAI
0 · Reply
DragonAlgoTrades
DragonAlgoTrades May. 9 at 12:22 AM
🐉 $GOOGL CALL — DragonAlgo® Signal Contract: GOOGL CALL Expiry: 2026-05-11 | Strike: $400.00 | Type: CALL Option Plan (premium): Entry: $3.15 Stop: $2.27 TP1: $4.09 TP2: $5.35 TP3: $7.56 Risk preset by model constraints. 🔗 https://dragonalgo.com
0 · Reply
NasdaqPulse
NasdaqPulse May. 8 at 10:53 PM
One of the most underpriced constraints in the AI buildout isn’t silicon anymore — it’s electricity. 👉Click to view @NasdaqPulse for timely updates amid the volatility. Everyone is focused on chips, but the real limiting factor at scale is power generation + delivery infrastructure. Names like $CEG and CCJ are only part of the picture. The deeper trade sits in the broader ecosystem: wholesale power producers, independent generators, grid operators, and infrastructure providers that ultimately feed hyperscale demand from $AMZN AWS, $GOOGL GCP, $MSFT Azure, and $META. The math is simple but brutal: as clusters scale from thousands → millions of accelerators, energy demand doesn’t grow linearly — it compounds. Without stable, scalable power, compute is just idle hardware. The market is still valuing this as a “utility sub-theme,” not as a core bottleneck in the AI infrastructure stack. That gap is where mispricing lives.
0 · Reply
PhyllisLongman
PhyllisLongman May. 8 at 10:13 PM
$GOOGL Isomorphic Labs is reportedly preparing a new funding round of around $2B, according to Bloomberg. The report highlights ongoing financing activity related to Alphabet-linked ventures.
1 · Reply
topstockalerts
topstockalerts May. 8 at 10:04 PM
Google reached a $50 million settlement with Black employees who alleged systemic racial disparities in hiring, compensation, and promotion practices at the company. The U.S. District Court for the Northern District of California granted final approval to the agreement, which resolves a 2022 class-action lawsuit. Civil rights attorney Ben Crump, representing the plaintiffs, said the case highlights long-standing barriers faced by Black employees in the tech industry and framed the settlement as a step toward greater accountability in Silicon Valley. The agreement establishes a $50 million fund and includes measures such as ongoing pay equity analysis and strengthened internal reporting channels. The lawsuit, led by April Curley, alleged that when she was hired in 2014, Google had more than 32,000 employees, but only 628 (1.9%) were Black. $GOOGL $GOOG
0 · Reply
trader365
trader365 May. 8 at 9:54 PM
$ARM $GOOGL holding shares.
0 · Reply
masterofcharts
masterofcharts May. 8 at 9:27 PM
$GOOGL $GGLL https://www.wavegenius.com/p/googl-2x-etf-ggll-w3-1-618-and-2-618-targets
0 · Reply
Jimmyako
Jimmyako May. 8 at 9:11 PM
$MU my biggest position fallowed up by $AMD $ITA $GOOGL 👀
0 · Reply
Jimmyako
Jimmyako May. 8 at 9:09 PM
$ITA $GOOGL $ARKQ PLUG 🔌 🤘💦
0 · Reply
StockMacroView
StockMacroView May. 8 at 9:06 PM
It started with $AMD improving, then $GOOGL TPUs being underrated, but in the end the discussion still circles back to $NVDA. In AI chips, it remains the unavoidable core. ASIC growth is mostly driven by hyperscalers trying to reduce dependence on a single supplier, pressure Nvidia’s pricing power, and gain more leverage. But the interesting part is this: Does this “de-risking” actually weaken Nvidia, or does it show how dominant it has become that everyone now has to hedge against it? The AI market is big enough for multiple winners. But right now, $NVDA is still sitting at the center. So which side do you lean toward: early competition, or reinforced dominance? Free sharing and subscription 👉 @StockMacroView.
0 · Reply
tradehunter38
tradehunter38 May. 8 at 9:00 PM
0 · Reply
Ashte
Ashte May. 8 at 8:54 PM
$AAPL $AMZN $GOOGL $MAGS $META AMZN and AAPL hitting the wall! GOOGL likely at its measure move level! META -> a Laggard among MAGS
0 · Reply
parcha
parcha May. 8 at 8:39 PM
Fairlead's Katie Stockton talks technicals on Tesla and Google $TSLA $GOOGL $GOOG https://www.cnbc.com/video/2026/05/08/fairleads-katie-stockton-talks-technicals-on-tesla-and-google.html?__source=iosappshare%7Ccom.stocktwits.StockTwits.STShareExtension
0 · Reply
scotttrader213
scotttrader213 May. 8 at 8:21 PM
$GOOGL taking off!!
0 · Reply
BoBhohol
BoBhohol May. 8 at 8:19 PM
0 · Reply