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 12,247,335
Avg Vol 33,674,738
Day's Range N/A - N/A
Shares Out 12.12B
Stochastic %K 96%
Beta 1.24
Analysts Strong Sell
Price Target $433.67

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
BarbaraSmith247
BarbaraSmith247 Jul. 7 at 5:11 PM
$GOOGL is in a $468M round for Marvel Fusion, a German laser-based nuclear fusion startup. Makes sense with data center power demand still climbing. Google is clearly looking at long-term sustainable energy options, and fusion is one of the cleaner but high-risk bets on the table.
0 · Reply
cubie
cubie Jul. 7 at 4:46 PM
$META $MSFT $AAPL $GOOGL is $NVDA a mag 7🤭😅
1 · Reply
joe0904
joe0904 Jul. 7 at 4:42 PM
$GOOGL 400
0 · Reply
23ChaseColeman23
23ChaseColeman23 Jul. 7 at 4:40 PM
$AMZN $GOOGL $META $MSFT $TLT :) working really nicely Long FAANG Short duration bonds
0 · Reply
Ro_Patel
Ro_Patel Jul. 7 at 4:31 PM
Goldman baseline model implies $765B in annual AI CapEx in 2026, growing to $1.6T in annual CapEx in 2031 Debates about the scale of AI infrastructure investment are often framed as a referendum on demand: whether AI adoption, monetization, or productivity gains will ultimately justify trillions of dollars of capital investments. But the amount of capital required to support today’s AI ambitions is not a single, fixed number—it is highly sensitive to a small set of structural assumptions about how the infrastructure itself is built and renewed. The implication is not that current estimates are obviously too high or too low, but that they are far more conditional than they appear & so may shift over time. As assumptions around technology progress and system design and market demand behavior shift, estimates of required capital will move with them. For investors and operators, critical questions remain: What fundamental assumptions do we have about the future, and how resilient to changes in those assumptions are our plans? There is a certain circularity hinted at in this analysis. Much of it has focused on how difficult it will be to deploy trillions of dollars of capital against the physical, institutional, and economic constraints we have described. But if the ecosystem does manage to conquer those constraints—if the infrastructure is built, the bottlenecks are cleared, and the cost of compute continues to fall—then the history of technology suggests that the result may not be surplus capacity but rather a new wave of demand and use cases that could not have existed at higher price points. The success of the build-out for today’s AI ambitions may be what ensures that it is not enough for tomorrow’s technological opportunities. $NVDA $AMZN $GOOGL $MU $DTCR
1 · Reply
Daytrader326
Daytrader326 Jul. 7 at 4:24 PM
$GOOG $GOOGL where are all those momentum buyers at. Come push Google back over $400 the chart is breaking out $MU $SSNLF $SNDK
0 · Reply
AWiley
AWiley Jul. 7 at 4:24 PM
$AAPL $GOOGL Only a matter of time
0 · Reply
Ro_Patel
Ro_Patel Jul. 7 at 4:22 PM
SemiAnalysis ests cumulative AI capital spending (across IT & datacenters) will hit roughly $11.1T from 2024 to 2029 As this arms race shifts from cash reserves to debt-financed expansion, outstanding AI-related debt is projected to reach about $7.1T by 2029 Goldman Sachs ests about $7.6T of global AI infrastructure investment from 2026 to 2031 across compute, data centers & power McKinsey ests that data centers will require $6.7T worldwide by 2030, w/ $5.2T tied to AI workloads alone Morgan Stanley ests a cumulative $4.8T–$5.2T from 2024 to 2029, tracking just the top 5 hyperscalers (capturing ~45% of SemiAnalysis’s total global footprint) Bank of America ests a cumulative $5.9T–$6.4T from 2024 to 2029, but looks strictly at traditional on-balance-sheet corporate Cloud + AI CapEx- --- Note: Each f/cast counts the AI buildout differently, so the totals are not directly interchangeable $NVDA acts as a pseudo-"central bank" by offering a 6-year minimum GPU rental rev guarantee program. This structure allows "neocloud" operators to secure massive credit without prime corporate credit ratings --- This structure serves as Nvidia's structural hedge against legacy hyperscalers who are aggressively designing internal custom ASIC chips. By underwriting these neocloud balance sheets,Nvidia secures downstream platform economics. Nvidia is building a "neocloud proxy army" to protect itself It wouldn't be a surprise if Nvidia eventually (10+ years) consolidates these dependent networks to step forward as a dominant first-party hyperscaler itself Note: When Nvidia previously tried to build DGX Cloud as a direct cloud service, it caused severe friction w/ AWS & Azure. This friction forced Nvidia to fold DGX Cloud into internal R&D operations. Hyperscalers acct for 45%-50% of Nvidia’s total corporate revs currently $DRAM $AMZN $GOOGL $ARTY
0 · Reply
sister
sister Jul. 7 at 4:20 PM
$META expect to buy back in 400s on Overshoot of those March lows as low ROI for excessive AI Spending gets sharper focus. $GOOGL $NVDA
1 · Reply
mama2024
mama2024 Jul. 7 at 4:01 PM
$GOOGL -- Just entered BUY mode above 3169.4
0 · Reply
Latest News on GOOGL
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Google has exceeded $1 billion Africa investment target

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Google has exceeded $1 billion Africa investment target

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Waymo and Uber end pilot partnership in Phoenix

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UK targets Apple, Google app store fees for developers

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AAPL GOOGL


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Uber, Waymo end robotaxi partnership in Phoenix

GOOGL UBER


BarbaraSmith247
BarbaraSmith247 Jul. 7 at 5:11 PM
$GOOGL is in a $468M round for Marvel Fusion, a German laser-based nuclear fusion startup. Makes sense with data center power demand still climbing. Google is clearly looking at long-term sustainable energy options, and fusion is one of the cleaner but high-risk bets on the table.
0 · Reply
cubie
cubie Jul. 7 at 4:46 PM
$META $MSFT $AAPL $GOOGL is $NVDA a mag 7🤭😅
1 · Reply
joe0904
joe0904 Jul. 7 at 4:42 PM
$GOOGL 400
0 · Reply
23ChaseColeman23
23ChaseColeman23 Jul. 7 at 4:40 PM
$AMZN $GOOGL $META $MSFT $TLT :) working really nicely Long FAANG Short duration bonds
0 · Reply
Ro_Patel
Ro_Patel Jul. 7 at 4:31 PM
Goldman baseline model implies $765B in annual AI CapEx in 2026, growing to $1.6T in annual CapEx in 2031 Debates about the scale of AI infrastructure investment are often framed as a referendum on demand: whether AI adoption, monetization, or productivity gains will ultimately justify trillions of dollars of capital investments. But the amount of capital required to support today’s AI ambitions is not a single, fixed number—it is highly sensitive to a small set of structural assumptions about how the infrastructure itself is built and renewed. The implication is not that current estimates are obviously too high or too low, but that they are far more conditional than they appear & so may shift over time. As assumptions around technology progress and system design and market demand behavior shift, estimates of required capital will move with them. For investors and operators, critical questions remain: What fundamental assumptions do we have about the future, and how resilient to changes in those assumptions are our plans? There is a certain circularity hinted at in this analysis. Much of it has focused on how difficult it will be to deploy trillions of dollars of capital against the physical, institutional, and economic constraints we have described. But if the ecosystem does manage to conquer those constraints—if the infrastructure is built, the bottlenecks are cleared, and the cost of compute continues to fall—then the history of technology suggests that the result may not be surplus capacity but rather a new wave of demand and use cases that could not have existed at higher price points. The success of the build-out for today’s AI ambitions may be what ensures that it is not enough for tomorrow’s technological opportunities. $NVDA $AMZN $GOOGL $MU $DTCR
1 · Reply
Daytrader326
Daytrader326 Jul. 7 at 4:24 PM
$GOOG $GOOGL where are all those momentum buyers at. Come push Google back over $400 the chart is breaking out $MU $SSNLF $SNDK
0 · Reply
AWiley
AWiley Jul. 7 at 4:24 PM
$AAPL $GOOGL Only a matter of time
0 · Reply
Ro_Patel
Ro_Patel Jul. 7 at 4:22 PM
SemiAnalysis ests cumulative AI capital spending (across IT & datacenters) will hit roughly $11.1T from 2024 to 2029 As this arms race shifts from cash reserves to debt-financed expansion, outstanding AI-related debt is projected to reach about $7.1T by 2029 Goldman Sachs ests about $7.6T of global AI infrastructure investment from 2026 to 2031 across compute, data centers & power McKinsey ests that data centers will require $6.7T worldwide by 2030, w/ $5.2T tied to AI workloads alone Morgan Stanley ests a cumulative $4.8T–$5.2T from 2024 to 2029, tracking just the top 5 hyperscalers (capturing ~45% of SemiAnalysis’s total global footprint) Bank of America ests a cumulative $5.9T–$6.4T from 2024 to 2029, but looks strictly at traditional on-balance-sheet corporate Cloud + AI CapEx- --- Note: Each f/cast counts the AI buildout differently, so the totals are not directly interchangeable $NVDA acts as a pseudo-"central bank" by offering a 6-year minimum GPU rental rev guarantee program. This structure allows "neocloud" operators to secure massive credit without prime corporate credit ratings --- This structure serves as Nvidia's structural hedge against legacy hyperscalers who are aggressively designing internal custom ASIC chips. By underwriting these neocloud balance sheets,Nvidia secures downstream platform economics. Nvidia is building a "neocloud proxy army" to protect itself It wouldn't be a surprise if Nvidia eventually (10+ years) consolidates these dependent networks to step forward as a dominant first-party hyperscaler itself Note: When Nvidia previously tried to build DGX Cloud as a direct cloud service, it caused severe friction w/ AWS & Azure. This friction forced Nvidia to fold DGX Cloud into internal R&D operations. Hyperscalers acct for 45%-50% of Nvidia’s total corporate revs currently $DRAM $AMZN $GOOGL $ARTY
0 · Reply
sister
sister Jul. 7 at 4:20 PM
$META expect to buy back in 400s on Overshoot of those March lows as low ROI for excessive AI Spending gets sharper focus. $GOOGL $NVDA
1 · Reply
mama2024
mama2024 Jul. 7 at 4:01 PM
$GOOGL -- Just entered BUY mode above 3169.4
0 · Reply
AWiley
AWiley Jul. 7 at 3:47 PM
$QQQ $NVDA $GOOGL $AAPL Looking good as long as overall market doesn’t nuclear meltdown today.
0 · Reply
ETAlpha
ETAlpha Jul. 7 at 3:43 PM
ChatGPT scales out of $GOOGL for the first time! Trimmed 15 shares at $371.40 (entered at $286.64 in March), freeing up $8,886 in cash. Google remains its largest holding. $GOOGL hovering near $369 intraday. The AI locking in gains here signals some short-term valuation resistance. Longs can raise trailing stops to $365 to protect profits. For new entries, remain patient and wait for a healthier pullback to daily support instead of chasing the highs.
0 · Reply
1daywerich
1daywerich Jul. 7 at 3:40 PM
$GOOGL Gemini flash 3.5 fast and accurate, love it!
0 · Reply
betterattrading
betterattrading Jul. 7 at 3:36 PM
$GOOGL Gemini moat got weaker last night change my mind
0 · Reply
JDRebel
JDRebel Jul. 7 at 3:34 PM
$BTC.X let’s goooooooooooooooooo!!! 🚀 $GOOGL $MU $MSTR $NVDA
0 · Reply
ASM
ASM Jul. 7 at 3:31 PM
$GOOGL $AAPL $MSFT $META all green today wow
0 · Reply
LakersandVRX
LakersandVRX Jul. 7 at 3:05 PM
$GOOGL $GOOG 450-500 is my eoy target. Therefore, I spend my time watching government released UFO videos and ask Google when we will have national robo taxis so I don't have to drive with over-aggressive drivers in LA.
0 · Reply
Daytrader326
Daytrader326 Jul. 7 at 3:03 PM
$GOOG $GOOGL still too many weak hands here
0 · Reply
rodlong
rodlong Jul. 7 at 3:00 PM
$UBER Anybody else remember how $GOOGL went sideways/down for a year+ ('24-'25) due to the MASSIVE AI threat...until the market figured out $GOOGL had a highly exploitable platform that would make AI more of an opportunity than a threat? Been a sweet +150% since then. Keep the faith, and know the fundamentals
1 · Reply
Doubleup2022
Doubleup2022 Jul. 7 at 2:53 PM
$GOOGL This is most likely going to 300 first than 400. Don’t fight the trend.
1 · Reply
AIWealthCircle
AIWealthCircle Jul. 7 at 2:47 PM
$ACN and $GOOGL are making a bigger move in enterprise AI. The two companies just launched a joint AI initiative targeting mid-market businesses with $300M to $3B in annual revenue. Accenture Edge combines Google’s Gemini Enterprise, Agentic Data Cloud, and AI security solutions including Mandiant and Wiz into ready-to-deploy packages designed to help companies adopt AI faster. The AI race is expanding beyond just building models. The next phase is about implementation, security, and helping businesses actually put AI into daily operations. I’m watching companies positioned to benefit from this adoption cycle because enterprise AI spending is still in the early stages. A lot of great opportunities if you know where to look. The battle map has been shared in the community! Are you going to miss out again?
0 · Reply
jewell69
jewell69 Jul. 7 at 2:45 PM
Spot beam technology ?? Wait what ?? Signal defamation = the SQUARE of the distance $T $VZ new topic yesterday, Monday 7/6 took partial profit in $IYR clone MF that has top 2 holdings of $META and $GOOGL
0 · Reply