Market Cap 3,860.84B
Revenue (ttm) 350.02B
Net Income (ttm) 100.12B
EPS (ttm) N/A
PE Ratio 31.90
Forward PE 30.41
Profit Margin 28.60%
Debt to Equity Ratio 0.06
Volume 26,018,502
Avg Vol 36,885,766
Day's Range N/A - N/A
Shares Out 12.07B
Stochastic %K 83%
Beta 1.05
Analysts Strong Sell
Price Target $321.96

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 the...

Industry: Internet Content & Information
Sector: Communication Services
Phone: 650-253-0000
Website: abc.xyz
Address:
1600 Amphitheatre Parkway, Mountain View, United States
BananaBreadEnjoyer
BananaBreadEnjoyer Nov. 29 at 7:35 AM
0 · Reply
svinnys18
svinnys18 Nov. 29 at 7:08 AM
$DELL $GOOGL $HPE $SMCI Definitely worth reading...
0 · Reply
ChristinBergero
ChristinBergero Nov. 29 at 6:44 AM
#CVKD Announces Recent Zacks Small Cap Research Report with a Price Target of $30 Watch live here: https://youtu.be/zJl5fT0FJ1c?si=wEcMBFjYKiAhTXMO $NVDA $META $AMD $GOOGL $PLTR
0 · Reply
DoYourDiligence
DoYourDiligence Nov. 29 at 4:15 AM
$SPY $QQQ im smelling a “most hated rally” with all the bears expecting red next week. $GOOGL to take over $NVDA as the largest company in the world soon? $META bottomed and looking like a great place to be with the $GOOGL news. Most hated rally might just be beginning.
0 · Reply
AlphaTrader8
AlphaTrader8 Nov. 29 at 3:58 AM
$NVDA Daily C below 100 EMA177.15 below H&S neckline $GOOGL Concerns $SPY $QQQ $AAPL
0 · Reply
keetamaxi25
keetamaxi25 Nov. 29 at 3:43 AM
$KTA.X for $GOOGL investors It is not an accident that Alphabet still commands attention from serious investors. You’ve got AI at scale, a dominant data moat, and a cloud business that is finally behaving like a real enterprise platform. As a core position for long-duration exposure to AI, cloud, and digital ad rails, it still makes sense: predictable cash flows, regulatory muscle memory, and the ability to invest tens of billions per year into infrastructure and models without betting the company. Keeta lives in a very different part of the stack. Where Alphabet aggregates and monetizes data and models, Keeta is trying to be the high-speed, compliance-aware settlement fabric that moves value between banks, fintechs, blockchains, and payment networks. The interesting thing, from a regulation and identity perspective, is that Keeta was designed with optional KYC and AML hooks baked into the protocol, so institutions don’t have to bolt compliance on afterwards. That’s a very different design philosophy from most L1s, which started from retail and only later tried to retrofit identity and regulatory controls. Most of the big chains have done a great job building developer ecosystems and DeFi primitives, but they weren’t architected primarily as neutral financial plumbing for regulated counterparties. Keeta leans into that role: a backbone settlement layer under multiple chains rather than a consumer-facing app environment, with anchors and bridges that let stablecoins or wrapped bitcoin move onto fast rails for instant settlement, then flow back out to wherever users hold liquidity. If you’re thinking about how real-world payments, FX, and treasury operations evolve, that architecture lines up much more cleanly with how banks and payment processors already think about flows, risk domains, and compliance zones. The upside scenario becomes clearer when you factor in connectivity to existing payment stacks. A deep integration with a Stripe- or Bridge-style global payments platform would effectively wire Keeta’s high-speed, identity-aware settlement layer directly into merchant acquiring, payouts, and cross-border FX. That is where real volumes live: payroll, marketplace payouts, remittances, B2B invoices, subscription revenue. If even a fraction of those flows settle over a network like Keeta because it gives better speed, transparency, and compliance tooling, the economic value of the base layer can justify a much larger network valuation over time without needing meme-like speculation. From a portfolio construction lens, Alphabet is your mature, cash-generating AI and cloud compounder. Keeta is more like an early-stage infra bet on the “TCP/IP of compliant value transfer” that banks and fintechs can actually use at scale. Compared to the major L1s, it still looks early and, in my view, underpriced relative to the role it is aiming to play as neutral plumbing for FX, stablecoin settlement, and cross-chain interoperability. For someone already anchored in large-cap tech, a small, satellite-style exposure to Keeta is less about trading crypto beta and more about owning an option on the regulated financial backbone layer that could sit underneath a lot of the next decade’s payment and asset rails.
0 · Reply
AlphaTrader8
AlphaTrader8 Nov. 29 at 3:31 AM
$NVDA Nov Mo Bearish Engulfing Pattern AI Bubble- $GOOGL Chip Concerns Monthly Bearish Nvidia’s Chart Parabola $QQQ $SPY $AAPL
1 · Reply
chursinow62
chursinow62 Nov. 29 at 3:21 AM
$GOOGL going higher next week
0 · Reply
Souledin
Souledin Nov. 29 at 3:16 AM
$SOXL $QQQ $NVDA $META $GOOGL Well, 25% since this post, and yet I had some crazy troll talking about I dont have a girlfriend or something. Like dude I HAVE a girlfriend, because I make good decisions. What do YOU do? Im still holding because we need a lot more GPUs and infrastructure to be built in order for Meta and Google to spend every single cent they have on trying to reach the moon of super intelligence first. By the way when we get there, AI may be 10 times, 100 times, 1000 times smarter than it is right now. Imagine that?
0 · Reply
MisterSplashyPants
MisterSplashyPants Nov. 29 at 1:29 AM
$GOOGL $SPY Back in July 2025, Alphabet was considered far behind the AI race that Coatue Management did not even include them onto their Fantastic 40 list for companies best positioned to lead in an AI and technology driven world.
0 · Reply
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BananaBreadEnjoyer
BananaBreadEnjoyer Nov. 29 at 7:35 AM
0 · Reply
svinnys18
svinnys18 Nov. 29 at 7:08 AM
$DELL $GOOGL $HPE $SMCI Definitely worth reading...
0 · Reply
ChristinBergero
ChristinBergero Nov. 29 at 6:44 AM
#CVKD Announces Recent Zacks Small Cap Research Report with a Price Target of $30 Watch live here: https://youtu.be/zJl5fT0FJ1c?si=wEcMBFjYKiAhTXMO $NVDA $META $AMD $GOOGL $PLTR
0 · Reply
DoYourDiligence
DoYourDiligence Nov. 29 at 4:15 AM
$SPY $QQQ im smelling a “most hated rally” with all the bears expecting red next week. $GOOGL to take over $NVDA as the largest company in the world soon? $META bottomed and looking like a great place to be with the $GOOGL news. Most hated rally might just be beginning.
0 · Reply
AlphaTrader8
AlphaTrader8 Nov. 29 at 3:58 AM
$NVDA Daily C below 100 EMA177.15 below H&S neckline $GOOGL Concerns $SPY $QQQ $AAPL
0 · Reply
keetamaxi25
keetamaxi25 Nov. 29 at 3:43 AM
$KTA.X for $GOOGL investors It is not an accident that Alphabet still commands attention from serious investors. You’ve got AI at scale, a dominant data moat, and a cloud business that is finally behaving like a real enterprise platform. As a core position for long-duration exposure to AI, cloud, and digital ad rails, it still makes sense: predictable cash flows, regulatory muscle memory, and the ability to invest tens of billions per year into infrastructure and models without betting the company. Keeta lives in a very different part of the stack. Where Alphabet aggregates and monetizes data and models, Keeta is trying to be the high-speed, compliance-aware settlement fabric that moves value between banks, fintechs, blockchains, and payment networks. The interesting thing, from a regulation and identity perspective, is that Keeta was designed with optional KYC and AML hooks baked into the protocol, so institutions don’t have to bolt compliance on afterwards. That’s a very different design philosophy from most L1s, which started from retail and only later tried to retrofit identity and regulatory controls. Most of the big chains have done a great job building developer ecosystems and DeFi primitives, but they weren’t architected primarily as neutral financial plumbing for regulated counterparties. Keeta leans into that role: a backbone settlement layer under multiple chains rather than a consumer-facing app environment, with anchors and bridges that let stablecoins or wrapped bitcoin move onto fast rails for instant settlement, then flow back out to wherever users hold liquidity. If you’re thinking about how real-world payments, FX, and treasury operations evolve, that architecture lines up much more cleanly with how banks and payment processors already think about flows, risk domains, and compliance zones. The upside scenario becomes clearer when you factor in connectivity to existing payment stacks. A deep integration with a Stripe- or Bridge-style global payments platform would effectively wire Keeta’s high-speed, identity-aware settlement layer directly into merchant acquiring, payouts, and cross-border FX. That is where real volumes live: payroll, marketplace payouts, remittances, B2B invoices, subscription revenue. If even a fraction of those flows settle over a network like Keeta because it gives better speed, transparency, and compliance tooling, the economic value of the base layer can justify a much larger network valuation over time without needing meme-like speculation. From a portfolio construction lens, Alphabet is your mature, cash-generating AI and cloud compounder. Keeta is more like an early-stage infra bet on the “TCP/IP of compliant value transfer” that banks and fintechs can actually use at scale. Compared to the major L1s, it still looks early and, in my view, underpriced relative to the role it is aiming to play as neutral plumbing for FX, stablecoin settlement, and cross-chain interoperability. For someone already anchored in large-cap tech, a small, satellite-style exposure to Keeta is less about trading crypto beta and more about owning an option on the regulated financial backbone layer that could sit underneath a lot of the next decade’s payment and asset rails.
0 · Reply
AlphaTrader8
AlphaTrader8 Nov. 29 at 3:31 AM
$NVDA Nov Mo Bearish Engulfing Pattern AI Bubble- $GOOGL Chip Concerns Monthly Bearish Nvidia’s Chart Parabola $QQQ $SPY $AAPL
1 · Reply
chursinow62
chursinow62 Nov. 29 at 3:21 AM
$GOOGL going higher next week
0 · Reply
Souledin
Souledin Nov. 29 at 3:16 AM
$SOXL $QQQ $NVDA $META $GOOGL Well, 25% since this post, and yet I had some crazy troll talking about I dont have a girlfriend or something. Like dude I HAVE a girlfriend, because I make good decisions. What do YOU do? Im still holding because we need a lot more GPUs and infrastructure to be built in order for Meta and Google to spend every single cent they have on trying to reach the moon of super intelligence first. By the way when we get there, AI may be 10 times, 100 times, 1000 times smarter than it is right now. Imagine that?
0 · Reply
MisterSplashyPants
MisterSplashyPants Nov. 29 at 1:29 AM
$GOOGL $SPY Back in July 2025, Alphabet was considered far behind the AI race that Coatue Management did not even include them onto their Fantastic 40 list for companies best positioned to lead in an AI and technology driven world.
0 · Reply
st0nkFact0r
st0nkFact0r Nov. 29 at 1:24 AM
$INTC $GOOGL $INTC $NVDA like we didnt all see this coming.. meditek, qualcom, broadcom, tsla, apple next=?
0 · Reply
keetamaxi25
keetamaxi25 Nov. 29 at 1:14 AM
$KTA.X for $GOOGL investors If you pay attention to where devs spend their weekends, Alphabet still shows up. It’s still one of the obvious core positions if you care about AI, cloud concentration, and the compounding effect of owning the rails for search, ads, and productivity. That is the “own the internet’s cash machine” play. I don’t think it’s controversial to say those big cloud and AI names are the equity equivalents of blue-chip real estate in a digital economy. Where Keeta lives is much closer to the pipes under the floorboards. Think about the settlement layer that has to exist if banks, fintechs, stablecoins, and tokenized treasuries are all going to talk to one another in real time. Keeta is built for that: very high throughput, sub-second finality, and a rules-aware design so identity, KYC, and AML can be part of the flow instead of bolted on as an afterthought. Other L1s have done a lot of the zero-to-one work for crypto generally – Ethereum for generalized compute, Solana for high-speed DeFi, others for experimentation – but Keeta’s target is narrower and more industrial: become the neutral backbone that moves value between chains and regulated institutions without drama. The real inflection comes when you wire that backbone into something Stripe- or Bridge-scale. If a payments processor or global banking connector starts using Keeta under the hood for merchant payouts, FX routing, and on/off-ramps, you’ve suddenly taken “nice benchmark numbers” and attached them to real invoice flows and settlement obligations. At that point, Keeta’s ability to process millions of transactions per second with audited benchmarks is not just a flex for infra engineers, it is what keeps payrolls, subscriptions, and cross-border settlements running quietly in the background. That kind of deep integration is the sort of thing long-horizon investors look at as a potential catalyst for Keeta to grow into a multi-billion-dollar network over time, because the revenue-like flows and institutional stickiness start to resemble traditional financial plumbing. From a portfolio construction lens, Keeta still screens like an early, mispriced asset relative to the large L1s that already reflect years of speculation, narratives, and TVL cycles. The network is live, the throughput has been battle-tested in public, Google Cloud has actually acknowledged it on official channels, and you have serious capital like Eric Schmidt’s backing signaling that this is treated as infrastructure, not a casino chip. For someone already anchored in mature tech names like Alphabet, the way I see it is simple: keep those as the core exposure to AI and cloud, and consider whether a small, satellite-style position in Keeta makes sense as an asymmetric bet on the settlement and interoperability layer that could sit underneath banks, fintechs, and payment networks over the next decade. The upside, if the payment-rail integrations and institutional usage materialize, is many turns of multiple expansion from a small base; the downside is sized by position, not by hope.
0 · Reply
microm
microm Nov. 29 at 1:10 AM
$GOOGL $AMD averages looking good. recent buys on the dip were $ADBE $DUOL $FIG
1 · Reply
damonclancy78
damonclancy78 Nov. 29 at 1:03 AM
$INTC BREAKING: $GOOGL and $INTC strengthen ties with Google Cloud collaboration. 🤝 Google Cloud taps Intel's latest Xeon CPUs for high-performance instances, enabling seamless AI inference alongside enterprise workloads. This deepens their collab, boosting Intel's collaboration and cloud exposure amid AI boom. Google Cloud now offers customizable solutions based on the latest Intel technologies, designed to address security, compute, and memory requirements for enterprise workloads and applications. This will enable AI inference alongside other workloads on Intel Xeon CPU instances, deepening Intel - Google ties for hybrid AI / enterprise apps, diversifying from $NVDA GPUs.
1 · Reply
AshHydrogen
AshHydrogen Nov. 29 at 12:25 AM
$PLTR Partner aka $NVDA Hardware taking $AAPL and $SSNLF market caps!!! F $GOOGL !!! https://youtu.be/SQZzUggWses?si=yb-UdH6PWj-nDEej
0 · Reply
QuantInsider
QuantInsider Nov. 29 at 12:18 AM
$GOOGL looking interesting after a solid +8% five-day rally on AI news Today’s flat price got me watching the options action Big move with 6,348 Feb 26 $350 calls swept at $13.55, new upside exposure Definitely feels like aggressive positioning Keep an eye on open interest and implied volatility If OI builds and IV stays steady, could be a setup for defined-risk longs Waiting for that follow-through before jumping in
1 · Reply
Isthistherightdirection
Isthistherightdirection Nov. 29 at 12:10 AM
$MU this Trump manhattan project sized AI spending bills going to send this over $500 along with $GOOGL. Cant wait for monday!:)
2 · Reply
Joby099
Joby099 Nov. 28 at 10:24 PM
0 · Reply
AshHydrogen
AshHydrogen Nov. 28 at 10:24 PM
$PLTR + $NVDA = NEO AI PHONE!!! 📱 $AAPL $GOOGL $MSFT need not APPLY!!! https://youtu.be/_X4jFr3Aa1Y?si=nnKgaaotW9QxDnN8
3 · Reply
Knowhentoprofit
Knowhentoprofit Nov. 28 at 10:18 PM
$GOOGL people think the meta news is baked in on the upswing. Not at all , watch on contract confirmation new base is 350
1 · Reply
Gprimp64
Gprimp64 Nov. 28 at 10:12 PM
$META ton of calls purchased in 660’s near EOY today. Lot of put sales as well this week. This almost sniffs like $GOOGL did. How can you even be bearish?
0 · Reply
keetamaxi25
keetamaxi25 Nov. 28 at 10:04 PM
$KTA.X for $GOOGL investors Engineers who actually profile throughput on-chain usually have opinions about Alphabet. You already know why it makes sense as a core compounder: unmatched distribution, dominant cloud footprint, and a real edge in applied AI. From an infra lens, that’s the “compute and data” layer of the future. What’s missing in most public portfolios, though, is direct exposure to the settlement rails that could carry institutional money, real-world assets, and cross-border payments once they truly migrate on-chain. That’s where Keeta shows up in my mental model. It doesn’t compete with the big consumer or AI platforms; it lives further down the stack as a high-speed, compliance-aware settlement and interoperability layer. Think of it as plumbing between banks, fintechs, payment processors, and other blockchains, built so regulated entities can move tokenized deposits, stablecoins, treasuries, and FX with sub-second finality. The interesting part is that Keeta’s not hand‑waving about scale: public stress tests have pushed into the eleven‑million‑plus transactions per second range, with the benchmarks cross‑checked by independent infra groups like ChainSpec and engineers from the Google cloud ecosystem. That’s the kind of due diligence institutional teams quietly care about before routing meaningful capital through a new chain. Relative to the other major Layer 1s, Keeta is optimized less for retail speculation and more for clean, auditable flows: identity hooks, rules-based assets, and low-latency confirmation that still preserves safety guarantees institutions demand. It respects the liquidity and developer gravity of chains like Ethereum and Solana, and instead aims to be the neutral backbone underneath them, using anchors and bridges so value can move in, settle fast, and then exit back to whatever venue end users prefer. That design is exactly what banks, FX desks, and large fintechs look for when they start seriously mapping tokenized money and real-world assets into their existing stacks. The real unlock, and why investors are watching this closely, is integration with Stripe- or Bridge-style global payment rails. If a network like Keeta sits directly behind merchant payments, payouts, and cross-border flows, then every card swipe, marketplace disbursement, or remittance potentially settles via a compliant, ultra-high-throughput chain. That kind of connectivity is what can justify a multi‑billion‑dollar network over time, not narrative alone. Today, Keeta’s valuation still looks small against that possible role as backbone infrastructure, which is why, from a risk‑reward standpoint, it lines up as a classic satellite allocation: keep Alphabet and the other large caps as the stable core, and use a modest position in an early, institution‑oriented L1 like Keeta as an asymmetric bet on the financial plumbing layer for the next decade.
0 · Reply