
#SandiskSP100AIFocus
About SandiskSP100AIFocus
Sandisk joined the S&P 100 on Sep 21, but shares fell about 1.4% that day after rising 10.99% in the final session before inclusion, suggesting the near-term catalyst had been priced in. With passive fund allocation complete, focus returns to fundamentals. FY2026 data center revenue surged 437% YoY, highlighting AI data centers as a key growth driver. Micron's Sep 30 earnings may help show whether storage growth reflects broad industry demand or company-specific performance.
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$SNDK is up 5.2% today while $MU is up 2.9%.
Why?
The catalyst was company-specific. Rosenblatt initiated Sandisk at Buy with a $2,400 target, arguing AI compute is making NAND more critical to the system.
But the bid spread beyond Sandisk, so I think the market is starting to treat this as a broader memory trade as well. The spillover makes today’s move look bigger than one analyst-note pop.
Sandisk’s fundamentals make that read plausible. Fiscal Q4 revenue rose 51% sequentially to $8.97 billion, and roughly two-thirds of the increase came from pricing. The company is also working with SK hynix on High Bandwidth Flash for AI inference.
Alva’s anomaly data caught the difference. $SNDK’s 5% move crossed its anomaly threshold; $MU’s gain did not.
Rosenblatt’s note changes expectations. Earnings stay the same today, and this memory bid still has to survive Micron’s next report and any supply response.


#SandiskSP100AIFocus Getting into the S&P 100 was the catalyst. Staying there is about execution 👀
Sandisk jumped 10.99% before inclusion, then slipped 1.4% once passive buying was done.
What caught my attention is data center revenue surged 437% YoY. With the index boost behind it, AI storage demand now has to justify the valuation.
Micron's Sep 30 earnings could be the reality check: is this a Sandisk story, or an industry-wide storage boom?
🔥 SNDK NEWS — 22 SEPTEMBER 2026
🚀 SanDisk (SNDK) is back in focus after reaching an all-time high of $1,830.59 on September 21. The tokenized SNDK on Robinhood is currently around $1,779.73, with 24H volume up more than 500%.
📈 $SNDK Key Levels
Resistance: $1,830–$1,850
Support: $1,740–$1,760
Major support: $1,630
⚡ The main catalyst remains strong demand for memory chips linked to AI infrastructure. Rosenblatt has also recently initiated coverage with a $2,400 price target.
SNDK is also available as a 1:1 tokenized SanDisk share on Solana, backed by real shares through Backpack Securities.
#SNDK #SanDisk #AI #Crypto #Solana #RWA
#BTC87KCryptoCap3T #CryptoTreasuriesBuy #CostcoQ4EarningsWatch

$SNDK SanDisk has pulled up very quickly this time, and the indicator is now overbought and overheated. The upper resistance is 1878, and the lower lifeline is 1736. Don't chase the long; wait for the signal before taking action. Chasing at a high level is very easy to catch a dip. $BTC $ETH #加密总市值重返2.8万亿美元 #Solana主网提速,节点门槛会否上升? #闪迪正式纳入标普100指数


AI Tape Volatility Check: semis erase the opening deficit
$SOXX opened at $556, ran to $568 and is $565, +1.1%, within 0.5% of HOD; $QQQ is $745, +0.4%, while $SPY is $773, -0.1%.
The reversal tracked the morning drop in oil and yields, while Evercore's $3,100 $SNDK target added a memory-specific bid.
$SNDK is $1,851, +4.8%, after a 7.0% HOD-to-LOD range and a 4.2% low-to-current rebound.
$WDC is $450 after a 7.1% range and sits 5.2% below HOD; $ARM is $328 after a 4.2% range.
$CRWV is $86 after a 4.9% range, while the broader semi tape is holding near its high.

🚨HUGE: Rosenblatt initiated SanDisk with a BUY rating and a $2,400 price target after the stock surged 644% in 2026.
The target implied 36% upside from Monday’s $1,766.64 close.
However, $SNDK has since surged another 7% on the Nasdaq to roughly $1,894, reducing the potential upside to about 27%.
Rosenblatt says AI is transforming NAND flash from commodity storage into a critical part of AI infrastructure as demand for high-density enterprise SSDs accelerates.



I started building a position in $MU today in the low $130s (so I’m a little biased) but the stock is simply too cheap especially when you compare it to $AMD.
$AMD has a $250B market cap and is expected to do $5.5B of EBITDA over the next 12 months so it’s trading at 45x NTM EV/EBITDA.
$MU has a $150B market cap and is expected to do $20B of EBITDA over the next 12 months so it’s trading at 7.5x NTM EV/EBITDA.
FWIW, I also have a position in $AMD although I wish I didn’t. Thankfully my positions in $NVDA and $SMCI have more than made up for the $AMD drag. It’s probably too late to sell mu $AMD but they better do $8-10B next year in MI-chip sales or the stock will get pounded because it’s wildly overvalued in that scenario.
I know that $MU has always traded with a lower multiple because DRAM/SSD is a cyclical business with pricing troughs but HBM in the context of an AI-revolution means higher growth rates, higher margins, bigger profits, bigger buybacks … all of which should lead to multiple expansion.
I think $MU could be a $250 stock in the next 18 months.

Micron looking REAL GOOD here
$MU dropped 50% after the AI infra trade topped back in June on:
- open-source model fears
- China supply fears
- deleveraging of KOSPI and Situational Awareness
- reignited Iran war and Oil price
Through all of that the fundamentals of the demand for memory and for Micron specifically improved significantly
Multiple banks and analysts have now agreed the memory cycle will go longer than previous cycles, with supply constrained, prices rising and margins holding past 2029
All of this is happening while we get closer and closer to December, when Micron will be able to turn on stock buybacks, something they haven't been able to do for years
Microns FCF is heading into the $100s of Billions next year and the bulk of it will be used to buyback their stock
The market is very likely to front run this and its why $MU is beginning to break out from its multi-month consolidation pattern
I think we will see ATHs in Micron very soon as the market begins to turn the AI infra trade back on and risk enters the markets again throughout Q4
$MU is part of my portfolio and If you want to see all of the assets I hold, which span across AI infra, AI application layer and even some crypto equities, you can check it out here:
Good luck out there!


Kyle Reidhead | Milk Road
WOW! Memory stocks are going MUCH HIGHER
Citi just forecasted DRAM prices rising EVERY year through 2031
That has never happened in the history of the memory industry. If Citi is right, the way the market prices memory stocks is flat out wrong
Not only is this not cyclical, it's a structural change in prices that pushes Memory higher for at least 8 years straight
Why is this happening? HBM, the memory inside every AI GPU, consumes roughly 3x the wafer capacity of standard DRAM per bit. As Micron, SK Hynix and Samsung convert their fabs to HBM, regular DRAM supply gets starved right as AI demand for it explodes too. Citi sees that supply tightness persisting until 2031
Bears will scream "cycle peak" at that deceleration in 2027. But look at what the numbers actually say: prices NEVER go negative. Not one down year through 2031
For 25 years memory was a commodity coin flip, massive up years always followed by brutal crashes (2019: -51%. 2023: -43%). Citi is forecasting the first 8-year stretch in industry history with zero down years. That's not a cycle anymore, that's a repricing
And it flows almost straight to the bottom line for producers. Micron just posted the largest earnings beat in its history with 85% gross margins, and that was BEFORE the 242% year fully hits the income statement.
Even more important to note that teh buybacks from this free cash flow haven't even started yet (coming in December)
The market still values memory stocks like the crash is 18 months away, according to Citi's chart that's not happening
I hold Micron in my Milk Road Portfolio, our analysts got our members in $MU below $400. We also hold a few other memory stocks alongside other ways to play the Ai infra build out. You can check out our real-time portfolios here:
Don't forget to give me a follow @kylereidhead for more insights on AI and markets



