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Snowflake Stock Soars After AI-Fueled Earnings Beat And AWS Megadeal Thumbnail

Snowflake Stock Soars After AI-Fueled Earnings Beat And AWS Megadeal

JACK KELLOGGUPDATED MAY. 28, 2026, 5:04 PM ET
Reviewed by Tim Sykesand Fact-checked by Ellis Hobbs

Snowflake Inc. stocks have been trading up by 38.22 percent amid upbeat AI data-cloud adoption and earnings-driven optimism.

Candlestick Chart

Live Update At 17:04:03 EDT: On Thursday, May 28, 2026 Snowflake Inc. stock [NYSE: SNOW] is trending up by 38.22%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

SNOW just flipped the script on its recent chart. Before earnings, Snowflake stock spent weeks grinding higher from roughly $140–$150 in early 2026/05 to the mid‑$170s by 2026/05/27. Then the Q1 FY27 report hit, and traders slammed the gas.

On 2026/05/27, SNOW closed near $175.26. The very next session, it opened at $237 and finished around $239.2. That’s the kind of gap you only see when expectations are crushed in a good way. Intraday, the 5‑minute tape shows SNOW holding above $230 and grinding toward $244, with tight consolidations and shallow pullbacks — classic strong‑trend price action driven by aggressive dip‑buying.

Fundamentally, Snowflake is still GAAP‑unprofitable, but the income statement and cash‑flow numbers tell a different story for traders watching sustainability. Gross margin sits at a hefty 67.2%, while free cash flow for the latest quarter came in around $763.3M on revenue of about $1.28B in that period — serious cash generation for a “money‑losing” name. With a price‑to‑sales ratio near 13.1 and price‑to‑free‑cash around 20, the market is paying up for growth, but not at peak‑mania levels. For active traders, this mix of acceleration on the chart and strong unit economics is the recipe for continued volatility and momentum.

Why Traders Are Watching SNOW Right Now

SNOW isn’t just another earnings beat story. Snowflake delivered a full package that the market rarely ignores: upside on revenue, EPS, margins, guidance, and a clear AI roadmap that traders can actually model.

For Q1 FY27, Snowflake printed $1.33B in product revenue, up 34% year over year, and $1.39B in total revenue, up 33%. Net revenue retention of 126% and $9.21B in remaining performance obligations show existing customers are expanding hard. That’s the kind of forward visibility momentum traders love — it tells you the pipeline is loaded even before new logos show up.

The driver is AI. Management called out strong early traction for Cortex Code and Snowflake Intelligence, and those AI workloads are already contributing to revenue, not just living in slide decks. Non‑GAAP EPS of $0.39 crushed the $0.32 consensus, while margins beat expectations and helped fuel that nearly 30% after‑hours pop in SNOW.

Then there’s the strategic backdrop. Snowflake signed its largest‑ever multi‑year agreement with Amazon Web Services, committing $6B of Graviton compute and AI infrastructure over five years. For traders, that deal is more than a headline: it reinforces SNOW as a core data and AI layer inside the AWS ecosystem, which can drive sustained usage — and billings — over time.

Layer on the planned Natoma acquisition. By bringing in a Model Context Protocol platform, Snowflake aims to provide a native governance and identity layer for AI agents, connecting Snowflake Intelligence, Cortex Agents, and Cortex Code out into tools like Slack, email, CRM, Jira, internal APIs, and databases. That pushes SNOW higher up the stack, from “data warehouse” to orchestrator of AI‑driven workflows, which is exactly the narrative big‑money traders are willing to chase in this market.

More Breaking News

Conclusion

For active traders, SNOW just put on a masterclass in how a growth name can reset sentiment in one quarter. The numbers were clean: revenue and EPS beats, record sequential dollar growth, and raised guidance across Q2 and FY27. Management now targets Q2 product revenue of $1.415B–$1.42B, about 30% growth, and FY27 product revenue of $5.84B, a 31% increase. That shows real confidence that AI‑driven demand will keep compounding.

Wall Street is responding in kind. Bank of America bumped its Snowflake target from $195 to $205 with a Buy rating. Wedbush reiterated Outperform at $270, calling SNOW a key data infrastructure winner in enterprise AI. Citi and RBC trimmed targets to $260 and $220, but they kept Buy/Outperform ratings, and the broader Street consensus still sits near $225–$226 with a Buy tilt. In short, analysts see SNOW as a core AI and data platform, but they’re also watching valuation.

For day traders and swing traders, the message is simple: SNOW is back on the momentum map. The 30% earnings gap creates both opportunity and risk — these are the types of moves that reward discipline and punish stubbornness. As Tim Sykes likes to remind his students, “Volatility is your best friend and your worst enemy — it all depends on how prepared you are.” As millionaire penny stock trader and teacher Tim Sykes, says, “It’s better to go home at zero than to go home in the red.”. This kind of mindset matters when you’re trading big gaps like SNOW’s — knowing when to walk away flat can be just as important as catching the upside. This analysis is for educational and research purposes only, but if you trade SNOW here, treat it like the fast‑moving AI leader the market just told you it is.

This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Our content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to us for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize our news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities.

Dive deeper into the world of trading with Timothy Sykes, renowned for his expertise in penny stocks. Explore his top picks and discover the strategies that have propelled him to success with these articles:

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* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”