Market Cap 2,610.43B
Revenue (ttm) 716.92B
Net Income (ttm) 77.67B
EPS (ttm) N/A
PE Ratio 33.85
Forward PE 31.33
Profit Margin 10.83%
Debt to Equity Ratio 0.27
Volume 48,298,102
Avg Vol 51,917,551
Day's Range N/A - N/A
Shares Out 10.76B
Stochastic %K 71%
Beta 1.46
Analysts Strong Sell
Price Target $314.93

Company Profile

Amazon.com, Inc. engages in the retail sale of consumer products, advertising, and subscriptions service through online and physical stores in North America and internationally. The company operates through three segments: North America, International, and Amazon Web Services (AWS). It also manufactures and sells electronic devices, including Kindle, fire tablets, fire TVs, echo, ring, blink, and eero; and develops and produces media content. In addition, the company offers programs that enable...

Industry: Internet Retail
Sector: Consumer Cyclical
Phone: 206 266 1000
Address:
410 Terry Avenue North, Seattle, United States
Megalodon
Megalodon Jul. 5 at 3:49 PM
$MRVL Gravy for a long to keep in the back of your mind. If/when $AMZN decides to sell Tranium outside of AWS, Marvell becomes a huge beneficiary. There's lots of pressure at AMZN to do so because of the sheer number of potential customers making inquires with AMZN about these chips.
0 · Reply
EddieHayes
EddieHayes Jul. 5 at 3:29 PM
The $NVDA 1GW AI factory narrative is ultimately a pricing model debate more than a demand debate. Jensen’s framing of ~$100B per GW assumes a GPU-heavy buildout, but the real shift underway is mix compression as inference becomes a larger share of workloads. If inference approaches ~70% of AI compute demand, the architecture naturally tilts toward efficiency-optimized silicon rather than pure high-end GPUs. That’s where the ASIC ecosystem becomes structurally relevant. $AVGO, $GOOG TPU, $AMZN Trainium, and $MRVL are not replacing Nvidia in training, but they are capturing incremental share of inference workloads where cost per token matters more than peak performance. China adds another layer, but remains supply-constrained, particularly around HBM availability, limiting global displacement risk despite growing domestic adoption. The core dynamic is not “Nvidia vs challengers,” it’s a shifting workload mix inside AI infrastructure where training stays GPU-dominant, but inference becomes increasingly fragmented across custom silicon ecosystems. That’s where the long-term debate actually lives.
0 · Reply
DeepSeaTurtle
DeepSeaTurtle Jul. 5 at 3:27 PM
$AMZN continues to show strong momentum continuation after the dip-zone reaction. The move is now +26 points / +11%, confirming that buyers aggressively defended the prior demand area and transitioned price from recovery → trend expansion. At this stage, the key focus is no longer the entry call, but whether price can hold above breakout structure and build a higher base. If that happens, the path toward prior highs and the 275 → 300 extension zone becomes the next logical area of interest. That said, after a sharp vertical move, it’s normal to see: short-term consolidation flag-like structures retests of breakout levels before continuation Trend is intact, but extension legs rarely move in straight lines.
0 · Reply
AIWealthCircle
AIWealthCircle Jul. 5 at 3:27 PM
Hyperscaler capex is projected to hit $757B in 2026 and $920B in 2027 That’s: 📈 +84% YoY in 2026 📈 +22% YoY in 2027 The key takeaway isn’t just the number it’s the durability of the AI infrastructure cycle. Spending is not slowing, it’s compounding across multiple layers of the stack. $MSFT $GOOGL $META $AMZN $ORCL remain the core beneficiaries as this buildout accelerates. We are still in the early-middle phase of infrastructure expansion, not the end. Today, there are a few more hated names where we're showing the same conviction. And I think history could repeat itself. Do you want the list?
0 · Reply
DeepSeaTurtle
DeepSeaTurtle Jul. 5 at 3:10 PM
$AMZN is showing exactly what strong trend continuation looks like after a clean demand-zone reaction. A +26pt / +11% move after the dip zone confirms buyers defended aggressively, and now price is transitioning from recovery → momentum expansion. The key question from here is no longer the entry, but whether it can hold gains above the breakout structure and build a new higher base. If it does, the next logical extension area becomes the prior highs and potential continuation toward the 275–300 zone you mentioned. However, after a vertical move like this, short-term behavior often includes: consolidation / flagging retests of breakout levels volatility compression before next leg Trend is still intact, but extension phases rarely move in straight lines.
0 · Reply
StockEnginee1
StockEnginee1 Jul. 5 at 3:10 PM
$AMZN is my highest-conviction name for the next decade-plus. Strong long-term setup, with scale, cloud, and optionality still driving the story. Solid trend, big runway.
0 · Reply
Synaptric
Synaptric Jul. 5 at 3:10 PM
Three large-cap consumer and consumer financing names changed cloud position from inside-cloud to above-cloud this last week. $V $AXP $AMZN
0 · Reply
bstr
bstr Jul. 5 at 2:56 PM
$AMZN Robotics play
0 · Reply
BullEngine
BullEngine Jul. 5 at 2:46 PM
AI capex is becoming a real macro force. $GOOGL $AMZN $META $MSFT $ORCL Projected AI spending could hit ~3.2% of US GDP by 2027. If that plays out, annual capex would top national defense. Huge signal for the AI buildout, but also a reminder how much is riding on this spend cycle.
0 · Reply
BreakoutLife
BreakoutLife Jul. 5 at 2:43 PM
AI capex is quietly becoming one of the largest macro forces in markets. $GOOGL $AMZN $META $MSFT $ORCL Combined AI-related capex across these hyperscalers is projected to scale sharply over the next few years: ~2.5% of US GDP in 2026 (up from ~1.5% in 2025) ~3.2% of US GDP by 2027 (if estimates hold) For context, that would place annual AI infrastructure spending above projected US defense spending (~2.7% of GDP). On a dollar basis: ~ $800B projected AI capex in 2026 ~ $1.1T projected in 2027 What stands out is the scale: this is no longer a tech sub-cycle - it is becoming a macro-level capital allocation shift across the entire US economy.
0 · Reply
Latest News on AMZN
AI race weakens climate pledges at Google, Amazon

Jul 3, 2026, 3:10 AM EDT - 2 days ago

AI race weakens climate pledges at Google, Amazon

GOOG GOOGL


Amazon Ready to Launch Satellite Broadband Service This Year

Jul 2, 2026, 7:18 PM EDT - 2 days ago

Amazon Ready to Launch Satellite Broadband Service This Year


Amazon to Begin Consumer Internet Service Later This Year

Jul 2, 2026, 7:18 PM EDT - 2 days ago

Amazon to Begin Consumer Internet Service Later This Year


AWS Spending Billions on Public Cloud and AI Efforts

Jun 30, 2026, 4:19 PM EDT - 4 days ago

AWS Spending Billions on Public Cloud and AI Efforts


Amazon's Alexa Offers Customers 365-Day View of Price History

Jun 30, 2026, 2:27 PM EDT - 4 days ago

Amazon's Alexa Offers Customers 365-Day View of Price History


Amazon Prime Leverages July 4 Promo to Push Everyday Fuel Perks

Jun 30, 2026, 11:34 AM EDT - 5 days ago

Amazon Prime Leverages July 4 Promo to Push Everyday Fuel Perks


Amazon's $1 BILLION bet on robots is changing lives

Jun 27, 2026, 4:00 PM EDT - 7 days ago

Amazon's $1 BILLION bet on robots is changing lives


Forget Apple. Amazon just made AI a lot more expensive.

Jun 26, 2026, 1:12 PM EDT - 8 days ago

Forget Apple. Amazon just made AI a lot more expensive.


Megalodon
Megalodon Jul. 5 at 3:49 PM
$MRVL Gravy for a long to keep in the back of your mind. If/when $AMZN decides to sell Tranium outside of AWS, Marvell becomes a huge beneficiary. There's lots of pressure at AMZN to do so because of the sheer number of potential customers making inquires with AMZN about these chips.
0 · Reply
EddieHayes
EddieHayes Jul. 5 at 3:29 PM
The $NVDA 1GW AI factory narrative is ultimately a pricing model debate more than a demand debate. Jensen’s framing of ~$100B per GW assumes a GPU-heavy buildout, but the real shift underway is mix compression as inference becomes a larger share of workloads. If inference approaches ~70% of AI compute demand, the architecture naturally tilts toward efficiency-optimized silicon rather than pure high-end GPUs. That’s where the ASIC ecosystem becomes structurally relevant. $AVGO, $GOOG TPU, $AMZN Trainium, and $MRVL are not replacing Nvidia in training, but they are capturing incremental share of inference workloads where cost per token matters more than peak performance. China adds another layer, but remains supply-constrained, particularly around HBM availability, limiting global displacement risk despite growing domestic adoption. The core dynamic is not “Nvidia vs challengers,” it’s a shifting workload mix inside AI infrastructure where training stays GPU-dominant, but inference becomes increasingly fragmented across custom silicon ecosystems. That’s where the long-term debate actually lives.
0 · Reply
DeepSeaTurtle
DeepSeaTurtle Jul. 5 at 3:27 PM
$AMZN continues to show strong momentum continuation after the dip-zone reaction. The move is now +26 points / +11%, confirming that buyers aggressively defended the prior demand area and transitioned price from recovery → trend expansion. At this stage, the key focus is no longer the entry call, but whether price can hold above breakout structure and build a higher base. If that happens, the path toward prior highs and the 275 → 300 extension zone becomes the next logical area of interest. That said, after a sharp vertical move, it’s normal to see: short-term consolidation flag-like structures retests of breakout levels before continuation Trend is intact, but extension legs rarely move in straight lines.
0 · Reply
AIWealthCircle
AIWealthCircle Jul. 5 at 3:27 PM
Hyperscaler capex is projected to hit $757B in 2026 and $920B in 2027 That’s: 📈 +84% YoY in 2026 📈 +22% YoY in 2027 The key takeaway isn’t just the number it’s the durability of the AI infrastructure cycle. Spending is not slowing, it’s compounding across multiple layers of the stack. $MSFT $GOOGL $META $AMZN $ORCL remain the core beneficiaries as this buildout accelerates. We are still in the early-middle phase of infrastructure expansion, not the end. Today, there are a few more hated names where we're showing the same conviction. And I think history could repeat itself. Do you want the list?
0 · Reply
DeepSeaTurtle
DeepSeaTurtle Jul. 5 at 3:10 PM
$AMZN is showing exactly what strong trend continuation looks like after a clean demand-zone reaction. A +26pt / +11% move after the dip zone confirms buyers defended aggressively, and now price is transitioning from recovery → momentum expansion. The key question from here is no longer the entry, but whether it can hold gains above the breakout structure and build a new higher base. If it does, the next logical extension area becomes the prior highs and potential continuation toward the 275–300 zone you mentioned. However, after a vertical move like this, short-term behavior often includes: consolidation / flagging retests of breakout levels volatility compression before next leg Trend is still intact, but extension phases rarely move in straight lines.
0 · Reply
StockEnginee1
StockEnginee1 Jul. 5 at 3:10 PM
$AMZN is my highest-conviction name for the next decade-plus. Strong long-term setup, with scale, cloud, and optionality still driving the story. Solid trend, big runway.
0 · Reply
Synaptric
Synaptric Jul. 5 at 3:10 PM
Three large-cap consumer and consumer financing names changed cloud position from inside-cloud to above-cloud this last week. $V $AXP $AMZN
0 · Reply
bstr
bstr Jul. 5 at 2:56 PM
$AMZN Robotics play
0 · Reply
BullEngine
BullEngine Jul. 5 at 2:46 PM
AI capex is becoming a real macro force. $GOOGL $AMZN $META $MSFT $ORCL Projected AI spending could hit ~3.2% of US GDP by 2027. If that plays out, annual capex would top national defense. Huge signal for the AI buildout, but also a reminder how much is riding on this spend cycle.
0 · Reply
BreakoutLife
BreakoutLife Jul. 5 at 2:43 PM
AI capex is quietly becoming one of the largest macro forces in markets. $GOOGL $AMZN $META $MSFT $ORCL Combined AI-related capex across these hyperscalers is projected to scale sharply over the next few years: ~2.5% of US GDP in 2026 (up from ~1.5% in 2025) ~3.2% of US GDP by 2027 (if estimates hold) For context, that would place annual AI infrastructure spending above projected US defense spending (~2.7% of GDP). On a dollar basis: ~ $800B projected AI capex in 2026 ~ $1.1T projected in 2027 What stands out is the scale: this is no longer a tech sub-cycle - it is becoming a macro-level capital allocation shift across the entire US economy.
0 · Reply
CosmicMiner
CosmicMiner Jul. 5 at 2:21 PM
Watching these closely this month: $SOFI, $META, $AMZN, $GRAB. $SOFI looks beaten down, wait for a volume-backed base before adding. $META and $AMZN are big tech leaders-look for entries on pullbacks to moving averages or key support, don't chase highs. $GRAB has its own momentum, accumulate on dips.
0 · Reply
MarketExplorerr
MarketExplorerr Jul. 5 at 2:12 PM
High-power cylindrical cell / BBU supply looks tight. $SAMSUNG SDI supplies cells to Simplo, which turns them into BBUs for $META and $AMZN. With data center demand rising, this chain looks like the bottleneck.
0 · Reply
AIWealthCircle
AIWealthCircle Jul. 5 at 1:36 PM
3 names I'm accumulating in 2026 while they are still sitting at decade-low valuation setups. $NVDA around $200, target $300+ by 2028 $AMZN around $240, target $350+ by 2028 $V around $330, target $400+ by 2028 This is not about hype, it's about valuation compression vs long-term earnings power disconnect. Markets consistently misprice quality when macro noise peaks and sentiment is weak. I'm scaling in gradually, not chasing strength. Today, there are a few more hated names where we're showing the same conviction. And I think history could repeat itself. Do you want the list?
0 · Reply
CosmicMiner
CosmicMiner Jul. 5 at 1:29 PM
3 stocks sitting at decade-low valuations in 2026 with 2028 targets: $NVDA: Current $200 ➔ Target $300+ $AMZN: Current $240 ➔ Target $350+ $V: Current $330 ➔ Target $400+
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ForRealz325
ForRealz325 Jul. 5 at 1:26 PM
$GITBANK.X Love Gitbank as another extremely early $TOS.X type play👀. This can easily be the next 10X-100X gem 💎 (NFA DYOR) $AMZN $MSFT $GOOGL https://gitbank.io/ 🚀 Gitbank ($GITBANK.X) Bullish Snapshot • ~$135K market cap • ~$180K+ liquidity (above market cap) • 2.6K+ holders in ~30 days • Rising trader participation + expanding volume • Strong early distribution vs typical microcaps • GitHub-native escrow + bounty settlement utility narrative ⚙️ What stands out Liquidity > MC = deeper exit support than most microcaps this early Holder growth = rapid network spread phase Utility hook = ties token activity to real dev workflows (bounties, escrow, pay-on-merge concepts) 📈 Early momentum phase structure forming: Low cap + rising participation + functional narrative = asymmetric attention window Contract: 0xC21dd0eE043930711C2a3e55F39C7d3144d09B07
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FutureBulls
FutureBulls Jul. 5 at 11:24 AM
On this day in 1994, Jeff Bezos launched Cadabra — the early online bookstore that later became Amazon. The name change from Cadabra to Amazon was one of those rare pivots that fit the scale of the business. $AMZN went public just 2 years later.
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tradernomad
tradernomad Jul. 5 at 8:42 AM
$AMZN — our EW Scanner nailed it 🎯 H1 5-wave impulse now complete: (0) 234 → (5) 247.88 ✅ T1 hit Bigger picture (1W): ▪️ Clear path inside the rising channel ▪️ First support ~242 / WMA55 234.9 ▪️ KEY level: 200–201 — bull/bear line in the sand Impulse done = expect corrective phase before the next leg. Run the scanner yourself 👇 prosignaltrades.com/setup #ElliottWave #AMZN #Trading
0 · Reply
ArcValueTrade
ArcValueTrade Jul. 5 at 5:48 AM
Clues for Stock market directions.. MAG 7 & SPY& QQQ & Tech Stocks Trend & Technical: https://youtu.be/14F9TCyhswY?si=eHT_0yrzLaey5cKC - Stock Market new ATH or crashing?? - Support & Resistance Guide- $AAPL $AMZN $MSFT $GOOGL $META
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Cleobulus
Cleobulus Jul. 5 at 2:45 AM
$AMZN “Why the stock is a better buy than in 2022 Free cash flow is down because Amazon is spending aggressively on AWS capacity -- a common cash sink in this era of massive AI data center builds. That's exactly why cash from operations (CFO) is a more useful metric for valuing the stock right now -- it better reflects the business's earning power while investment ramps up. On a per-share basis, the stock trades at about 18 times CFO, cheaper than at the time of the 2022 stock split, when it traded at 32 times. Given Amazon's stronger profitability, higher cash generation, and much deeper AI capabilities today, the stock looks more attractive now than it did just after the split.” https://finance.yahoo.com/markets/stocks/articles/amazon-92-since-completing-20-224700163.html
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QuantInsider
QuantInsider Jul. 5 at 1:12 AM
What's going on with $AMZN? Big money's making moves Saw a massive ~$67M Jan 2027 $250C order hit right after those strong AWS and Prime Day headlines Feels like institutions are backing this +3.6% rally hard Call buying was off the charts June 29 to 30 with over $30M in Sep 2026 $220 calls It's like they're betting on more upside, not just hedging Calls made up about 97% of the premium this past week Heavy action within ~5% of spot and ~45 days to expiry This isn't just noise, it's tactical and it supports the recent strength With AWS growth at +28% YoY and record
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iTrade_Price
iTrade_Price Jul. 4 at 8:33 PM
$AMZN AMZN D
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ccdemuth
ccdemuth Jul. 4 at 4:19 PM
$SPCX $TSLA $AAPL $AMZN https://stwsexpectedvalue.substack.com/p/fluke
0 · Reply