Track market-moving stories before they get noisy

In the latest trading session, Snowflake Inc. (SNOW - Free Report) closed at $267.80, marking a -1.45% move from the previous day. This change lagged the S&P 500's 0.14% loss on the day. At the same time, the Dow lost 0.01%, and the tech-heavy Nasdaq lost 0.57%.

Heading into today, shares of the company had gained 17.93% over the past month, outpacing the Computer and Technology sector's loss of 4.82% and the S&P 500's gain of 0.25%.

Analysts and investors alike will be keeping a close eye on the performance of Snowflake Inc. in its upcoming earnings disclosure. The company is expected to report EPS of $0.45, up 28.57% from the prior-year quarter. Simultaneously, our latest consensus estimate expects the revenue to be $1.47 billion, showing a 28.39% escalation compared to the year-ago quarter.

For the annual period, the Zacks Consensus Estimates anticipate earnings of $1.96 per share and a revenue of $6.07 billion, signifying shifts of +56.8% and +29.56%, respectively, from the last year.

Investors should also note any recent changes to analyst estimates for Snowflake Inc. Such recent modifications usually signify the changing landscape of near-term business trends. As a result, upbeat changes in estimates indicate analysts' favorable outlook on the business health and profitability.

Research indicates that these estimate revisions are directly correlated with near-term share price momentum. To capitalize on this, we've crafted the Zacks Rank, a unique model that incorporates these estimate changes and offers a practical rating system.

The Zacks Rank system ranges from #1 (Strong Buy) to #5 (Strong Sell). It has a remarkable, outside-audited track record of success, with #1 stocks delivering an average annual return of +25% since 1988. Over the past month, the Zacks Consensus EPS estimate remained stagnant. Snowflake Inc. is currently sporting a Zacks Rank of #3 (Hold).

Valuation is also important, so investors should note that Snowflake Inc. has a Forward P/E ratio of 138.8 right now. This indicates a premium in contrast to its industry's Forward P/E of 19.55.

Also, we should mention that SNOW has a PEG ratio of 5.27. This metric is used similarly to the famous P/E ratio, but the PEG ratio also takes into account the stock's expected earnings growth rate. As of the close of trade yesterday, the Internet - Software industry held an average PEG ratio of 1.06.

The Internet - Software industry is part of the Computer and Technology sector. Currently, this industry holds a Zacks Industry Rank of 104, positioning it in the top 43% of all 250+ industries.

The Zacks Industry Rank assesses the vigor of our specific industry groups by computing the average Zacks Rank of the individual stocks incorporated in the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.

Be sure to use Zacks.com to monitor all these stock-influencing metrics, and more, throughout the forthcoming trading sessions.

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The company logo for Snowflake Inc. is displayed on a banner to celebrate the company's IPO at the New York Stock Exchange (NYSE) in New York, U.S., September 16, 2020. REUTERS/Brendan... Purchase Licensing Rights, opens new tab Read more

CompaniesJuly 16 (Reuters) - Snowflake (SNOW.N), opens new tab on Thursday unveiled a compensation package worth up to roughly $448 million for CEO Sridhar Ramaswamy, ​hinging on the cloud-based data analytics platform's ‌market value almost doubling to $184 billion in seven years.

Ramaswamy's award, totaling 1 million shares, is structured into five tranches, each ​with escalating stock price milestones, and is ​designed to retain him as CEO until September 15, 2030.

Learn about the latest breakthroughs in AI and tech with the Reuters Artificial Intelligencer newsletter. Sign up here.

Snowflake ⁠has been benefiting from clients shifting their workloads to its cloud ​platform as they invest to develop AI tools.

The company's stock price would ​need to climb to $531 by July 15, 2033 from Wednesday's closing price of $271.87 for the final tranche, adding up to $100 billion to its market ​capitalization.

Snowflake offers a platform where clients store and ​integrate their data in one place to generate business insights, ‌build ⁠AI tools and solve operational problems.

Ramaswamy must remain CEO through September 15, 2029 for the first two tranches and September 15, 2030 for the ​last three ​to meet ⁠the service-based requirement, the company said.

The compensation package also includes clawback clauses for misconduct ​or accounting restatements, according to a ​regulatory filing.

Snowflake ⁠shares have risen about 24% this year.

In May, the company raised its annual product revenue forecast and announced a ⁠five-year ​deal worth $6 billion with Amazon ​Web Services (AMZN.O), opens new tab to use AWS's Graviton processors and AI infrastructure.

Reporting by ​Jaspreet Singh in Bengaluru; Editing by Sahal Muhammed

Our Standards: The Thomson Reuters Trust Principles., opens new tab

In the latest close session, Snowflake Inc. (SNOW - Free Report) was up +2.37% at $267.49. The stock outperformed the S&P 500, which registered a daily gain of 0.81%. On the other hand, the Dow registered a gain of 0.27%, and the technology-centric Nasdaq increased by 1.3%.

Shares of the company have appreciated by 8.92% over the course of the past month, outperforming the Computer and Technology sector's loss of 1.59%, and the S&P 500's gain of 1.13%.

Analysts and investors alike will be keeping a close eye on the performance of Snowflake Inc. in its upcoming earnings disclosure. In that report, analysts expect Snowflake Inc. to post earnings of $0.45 per share. This would mark year-over-year growth of 28.57%. Meanwhile, the latest consensus estimate predicts the revenue to be $1.47 billion, indicating a 28.39% increase compared to the same quarter of the previous year.

For the entire fiscal year, the Zacks Consensus Estimates are projecting earnings of $1.96 per share and a revenue of $6.07 billion, representing changes of +56.8% and +29.56%, respectively, from the prior year.

It's also important for investors to be aware of any recent modifications to analyst estimates for Snowflake Inc. Such recent modifications usually signify the changing landscape of near-term business trends. As a result, upbeat changes in estimates indicate analysts' favorable outlook on the business health and profitability.

Our research suggests that these changes in estimates have a direct relationship with upcoming stock price performance. To benefit from this, we have developed the Zacks Rank, a proprietary model which takes these estimate changes into account and provides an actionable rating system.

The Zacks Rank system, running from #1 (Strong Buy) to #5 (Strong Sell), holds an admirable track record of superior performance, independently audited, with #1 stocks contributing an average annual return of +25% since 1988. The Zacks Consensus EPS estimate has moved 2.11% higher within the past month. Snowflake Inc. is currently sporting a Zacks Rank of #3 (Hold).

Valuation is also important, so investors should note that Snowflake Inc. has a Forward P/E ratio of 133.48 right now. For comparison, its industry has an average Forward P/E of 19.31, which means Snowflake Inc. is trading at a premium to the group.

Also, we should mention that SNOW has a PEG ratio of 5.07. This popular metric is similar to the widely-known P/E ratio, with the difference being that the PEG ratio also takes into account the company's expected earnings growth rate. The Internet - Software industry currently had an average PEG ratio of 1.05 as of yesterday's close.

The Internet - Software industry is part of the Computer and Technology sector. With its current Zacks Industry Rank of 90, this industry ranks in the top 37% of all industries, numbering over 250.

The Zacks Industry Rank assesses the strength of our separate industry groups by calculating the average Zacks Rank of the individual stocks contained within the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.

To follow SNOW in the coming trading sessions, be sure to utilize Zacks.com.

The recent initial public offering (IPO) of Space Exploration Technologies (SPCX 6.72%), better known as SpaceX, captured global attention that very few public debuts have matched.

While SpaceX stock was priced at $135, shares actually opened on the Nasdaq at around $150. By the end of the first day of trading, the stock was priced at $161. Momentum carried over into the next trading day with a roughly 20% gain. SpaceX stock climbed even further from there to a peak of about $226 before eventually pulling back. Recently, shares trade around $162 -- still modestly above the opening day price.

The rapid ascent followed by a sharp reversal underscores the extreme volatility that often accompanies highly anticipated IPOs. In my view, this pattern echoes the explosive yet ultimately uneven trajectory of Snowflake's (SNOW +0.25%) 2020 IPO. Smart investors are raising questions about whether SpaceX's early gains will prove sustainable or whether those who chased momentum will face a prolonged period of disappointment.

Image source: Getty Images.

Remembering the Snowflake IPO Snowflake went public in September 2020. The company's offering stood out as a landmark event in the technology sector because, at the time, it was the largest software IPO in history.

While Snowflake priced its shares at $120, the stock opened at $245 and closed the first day of trading at $254 -- more than doubling in value. The surge reflected a newfound appetite for high-growth cloud software companies beyond the usual suspects among big tech.

One month later, Snowflake had eased from its opening-day pop but remained robustly elevated, trading in the $240 range. By December 2020, the company still boasted a premium market cap as shares held steady at lofty levels even as Wall Street began to question its valuation expansion. By the one-year anniversary of the Snowflake IPO, the stock had climbed further, trading near $300 amid rising enthusiasm for the emerging data warehousing opportunity.

Snowflake's initial surge stemmed from several factors. First, the low-interest-rate environment at the time worked in favor of growth stocks. In addition, growing narratives around digital transformation and big data fueled outsize participation in Snowflake's IPO -- including from prominent investors such as Berkshire Hathaway. Naturally, these points inspired classic FOMO-driven trading -- especially among retail buyers piling into the hype.

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When did Snowflake stock peak? Snowflake stock reached its all-time high of $402 in November 2021, a little more than one year after going public. As the chart below shows, investors who bought near this apex have watched Snowflake's price decline substantially. With shares recently trading around $260, those who bought at the top are down about 35%. Moreover, buyers who entered Snowflake on its first day of trading have fared only marginally better.

SNOW data by YCharts

After nearly six years, Snowflake stock essentially delivered flat returns. This outcome falls far short of the generational multibagger Snowflake was marketed as. This type of humbling investing experience underscores how initial hype often inflates prices beyond levels congruent with underlying business fundamentals. In turn, this can lead to extended periods of underperformance and sideways trading.

What can investors expect from the SpaceX IPO? In many ways, SpaceX's IPO generated levels of excitement and media coverage comparable to those of Snowflake's debut. As the largest IPO ever, SpaceX's listing tapped into a powerful narrative featuring space exploration, reusable rocketry, Starlink internet, and Elon Musk's vision for next-generation artificial intelligence (AI) infrastructure.

Just as Snowflake benefited from its perception as a game-changing data analytics platform and support from celebrity investors, SpaceX's price action suggests it has drawn intense interest from momentum traders, growth-oriented funds, and retail participants captivated by the company's technological achievements and management's vision.

Smart investors realize that history offers a cautionary parallel here. Snowflake's dramatic first-day pop and subsequent elevated trading paved the way for an unsustainable peak, followed by years of disappointing performance for early buyers. SpaceX's post-IPO path -- sharp initial gains, a quick peak, and an early reversal -- suggests the stock could very well experience similar consolidation or further volatility over the next year (or longer).

While SpaceX's business fundamentals and market position differ markedly from Snowflake's, the pattern of hype-driven pops followed by extended periods of digestion remains a recurring theme in blockbuster IPOs. Ultimately, investors who chased SpaceX's early momentum may find themselves vulnerable if enthusiasm cools and the stock reverts to a more reasonable valuation.

STAMFORD, Conn.--(BUSINESS WIRE)---- $III #AI--Enterprises are increasingly using the Snowflake data platform to coordinate secure data access, collaboration and AI-enabled operations, ISG says.

© Public Domain / Wikimedia

Snowflake’s title bet references an $80 billion data opportunity, but the number in the Q1 FY27 filing that actually validates the thesis is the size of the contracted backlog. That contracted figure is what long-term holders should anchor on.

The Number Snowflake (NYSE:SNOW | SNOW Price Prediction) closed Q1 FY27 with $9.21 billion in remaining performance obligations, up 38% year over year. The company reported the figure on May 27, 2026. RPO represents contracted business Snowflake has booked with customers but has not yet recognized as revenue. This figure grew faster than the 33.48% quarterly revenue increase, which is the tell.

What It Means RPO is the backlog. When this number accelerates past revenue growth, customers are signing longer, larger contracts. Product revenue for the quarter came in at $1.33 billion, up 34% year over year, which management described as the strongest sequential dollar growth in the company’s history. Net revenue retention held at 126%, meaning existing customers spent 26% more than a year ago.

Perhaps more important is the count of customers generating more than $1 million in trailing product revenue. This figure reached 779 this past quarter (up 29% YoY), with Snowflake adding 616 net new customers (up 38% YoY), and showcasing 13,600+ accounts are now using Snowflake AI capabilities.

Market Reaction Shares closed at $260.15 on July 2, 2026, up 18.6% year to date from a start of $219.36 on December 31, 2025. On a one-week view, SNOW rose 14.57%, moving from $227.06 on June 25, 2026 to $260.15 on July 2, 2026. On the one-year view, the stock is up 19.7% from $217.34 on July 2, 2025. Following the Q1 earnings report, shares moved from $177.4949 at filing to $255.55 one day after.

Bull Case The $9.21 billion backlog is the foundation. Management raised full-year FY27 product revenue guidance to $5.84 billion, implying 31% growth, up from prior guidance of $5.66 billion at 27%. Non-GAAP operating margin guidance rose to 13.5%, from 12.5%, and non-GAAP adjusted free cash flow margin is guided at 23.0%. Q2 FY27 product revenue is guided to $1,415 million to $1,420 million, or 30% growth.

Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Snowflake didn't make the cut. Grab the names FREE today.

AI adoption is doing the work behind those raises. Cortex Code is now inside 7,100+ accounts, and Snowflake Intelligence accounts more than doubled quarter over quarter. Some of Snowflake’s strategic moves included a $6 billion multi-year AWS agreement, a deepened OpenAI partnership, general availability of SAP partnership capabilities, and the acquisition of Natoma, an enterprise Model Context Protocol platform for AI agents.

CEO Sridhar Ramaswamy called Q1 “a milestone quarter” and framed the company’s AI product suite as the company becoming “the control plane for the Agentic Enterprise.” Non-GAAP EPS came in at $0.39 versus a $0.3198 estimate, a 21.95% beat, the fourth consecutive quarter of beating consensus. Free cash flow reached $232.77 million, up 26.93% YoY, and Snowflake repurchased $300.03 million of its own stock in the quarter. TD Cowen reiterated a Buy rating with a $300 price target on June 2, 2026.

Bottom Line For retirement-focused holders, RPO growing faster than revenue is the metric that matters most. It signals longer contract durations and stronger customer conviction, and it gives management visibility to keep raising guidance.

The AI attach rate across 13,600+ accounts is converting into contracted dollars on the balance sheet. Shares have already caught a bid, up 18.6% year to date, but Snowflake’s backlog compounds independent of any single quarter’s headlines. The next catalyst is the Q2 FY27 report, and the number to keep an eye on is whether RPO growth stays ahead of product revenue growth. If it does, the raised full-year outlook is unlikely to be the last one this fiscal year.

Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Snowflake didn't make the cut. Grab the names FREE today.

Contact [email protected] for any questions or corrections.

SNOW's platform adoption and AI momentum are fueling gains, but rising competition, margin pressure, and premium valuation keep investors cautious.

Cathie Wood tends to do well when tech stocks are rallying, and the second quarter was strong for that kind of investing. The founder and CEO of Ark Invest saw her largest exchange-traded fund jump nearly 20% in the past three months, and she's not done making moves as we head into the second half of 2026.

Wood added to several existing Ark positions across her family of ETFs on Monday. Some of the more intriguing names include Amazon (AMZN +1.71%), SoFi Technologies (SOFI +3.82%), and Snowflake (SNOW +2.45%). Let's take a closer look at these three stocks.

Image source: Getty Images.

1. Amazon Everyone has an opinion on Amazon stock. Bears will argue that the country's largest publicly traded company by trailing revenue is vulnerable. With consumer confidence waning, can a retailing platform be a safe investing bet?

There's also the changing tide at Amazon Web Services (AWS). The cloud hosting platform is a juggernaut that accounts for just a fifth of Amazon's total business but more than half of its trailing operating profit. With Amazon investing heavily in AI, will the long-term gain for AWS come with some short-term pain?

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Bulls can counter that Amazon is a different company with AWS as a workhorse. The 17% jump in net sales it posted in the first quarter was its fastest year-over-year increase in four years. AWS is not only growing faster than all of Amazon -- up 28% in its latest quarter -- but also drawing welcome attention to the entire ecosystem.

It's been a year of large AI wins for Amazon, but 2026 has been mostly forgettable for Amazon investors. The stock is up a mere 3% this year, losing badly to the overall market. 

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2. SoFi Technologies SoFi was Wood's largest purchase for Ark's largest ETF on Monday. SoFi is an online bank with 14.7 million members. After crushing the market for three consecutive years -- and appreciating fivefold in that time -- SoFi stock has stumbled this year. The shares are trading 32% lower this year, making the branchless bank an interesting out-of-favor purchase.

SoFi is growing faster than most stateside fintechs. Adjusted revenue rose 41% for its first quarter, and profitability doubled. The risk with SoFi is that it's at the mercy of the same financial trends of traditional banking platforms, and SoFi trades at an industry premium. However, it's also growing a lot faster. The recent conversion of its SoFi Plus platform to an exclusive premium offering will go a long way toward revealing the kind of brand and pricing power that SoFi has secured in recent years.

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3. Snowflake Snowflake provides a popular AI-fueled data warehousing and analytics platform that turns big data into actionable business insights. It's not growing as quickly as it did when it went public six years ago, back when revenue routinely more than doubled, but the platform's stickiness and recent acceleration should put it back on growth investors' radars.

The 34% revenue growth it posted in its latest fiscal quarter is Snowflake's strongest top-line jump since the summer of 2023. Companies trust Snowflake with a lot of money, with 779 of its customers spending more than $1 million apiece on the platform over the past year. It has a dollar-based net revenue retention rate of 126%, meaning returning customers spend 26% more with Snowflake than they did a year ago.

Reported profitability is still years away, but it's making positive moves on an adjusted basis -- bearing in mind that the company isn't cheap even on that basis, trading for 95 times next fiscal year's earnings. Snowflake stock is trading higher this year, but it's still more than 40% below its all-time high reached in late 2020.

It may be a hot summer, but Wood is out there catching a falling Snowflake.

Rick Munarriz has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Amazon and Snowflake. The Motley Fool has a disclosure policy.

It has been about a month since the last earnings report for Snowflake Inc. (SNOW - Free Report) . Shares have lost about 5.1% in that time frame, underperforming the S&P 500.

Will the recent negative trend continue leading up to its next earnings release, or is Snowflake due for a breakout? Well, first let's take a quick look at the latest earnings report in order to get a better handle on the recent catalysts for Snowflake Inc. before we dive into how investors and analysts have reacted as of late.

Snowflake Q1 Earnings Top Estimates, Revenues Increase Y/YSnowflake reported first-quarter fiscal 2027 non-GAAP earnings of 39 cents per share, which beat the Zacks Consensus Estimate by 21.88%. The company reported earnings of 24 cents per share in the year-ago quarter.

Revenues were $1.39 billion, up 33% year over year and beat the Zacks Consensus Estimate by 5.23%.

SNOW Top-line DetailsSNOW’s fiscal first quarter was driven by consumption across its core platform, with product revenue representing the majority of results. Product revenues totaled $1.33 billion, which accounted for 96% of total revenues. Professional Services and other revenues were $56.6 million, which contributed 4% of total revenues, representing a 25.1% year-over-year increase.

Geographically, results remained concentrated in the Americas, which represented 78% of revenue, with EMEA and APJ contributing 16% and 6%, respectively. The steady regional mix suggests Snowflake is scaling internationally without materially changing its revenue concentration.

Snowflake’s AI-Led Momentum and PartnershipsSnowflake framed the quarter as an inflection point in its AI roadmap, citing accelerating adoption of first-party AI products alongside core platform demand. Management pointed to strong sequential product revenue dollar growth and emphasized the role of offerings such as Cortex Code and Snowflake Intelligence in broadening usage across the installed base.

The company also underscored ecosystem moves aimed at extending distribution and deepening enterprise relevance. It expanded collaboration with AWS through a new $6 billion multi-year agreement, highlighted ongoing work with OpenAI, and noted that capabilities from its SAP partnership reached general availability. Snowflake also signed a definitive agreement to acquire Natoma in May 2026 to strengthen secure connections for AI agents across tools and workflows.

SNOW's Customer Scale Supports Durable ExpansionSNOW ended the quarter with 13,912 total customers and added 616 net new customers, including 13 new Forbes Global 2000 customers. Large-customer depth continued to improve, with 779 customers above the $1 million trailing product revenue threshold, representing 29% year-over-year growth in that cohort.

Retention remained a key support for the consumption model. Net revenue retention rate was 126%, reflecting continued expansion from existing customers, even as usage patterns can vary quarter to quarter. Contracted demand also stayed healthy, with remaining performance obligations of $9.21 billion, up 38% from the year-ago period.

Snowflake’s Operating DetailsThe non-GAAP gross margin contracted 40 basis points (bps) year over year to 71.8%. Product gross margin was 75.1% in the reported quarter.

Research & development expenses, as a percentage of revenues, decreased 250 bps on a year-over-year basis to 20.4%. General & administrative expenses, as a percentage of revenues, were 5.5%, down 60 bps year over year. Sales and marketing expenses, as a percentage of revenues, contracted 40 bps on a year-over-year basis to 33.9%.

Operating margin expanded 300 bps on a year-over-year basis to 11.9%.

SNOW’s Balance Sheet & Cash Flow DetailsThe balance sheet remained liquid. As of April 30, 2026, Snowflake reported $2.08 billion in cash and cash equivalents and $870.3 million in short-term investments.

SNOW produced $243.2 million of net cash from operating activities in the quarter. Free cash flow was $232.8 million, and adjusted free cash flow was $265.5 million.

Snowflake Raises Full-Year Product Revenue OutlookSnowflake expects second-quarter fiscal 2027 product revenues in the range of $1.415-$1.420 billion, implying 30% year-over-year growth, with a non-GAAP operating margin expected to be 12.5%.

For fiscal 2027, the company raised its product revenue outlook to $5.84 billion, representing 31% growth. Snowflake also lifted its full-year non-GAAP operating margin target to 13.5% and reiterated a 75% non-GAAP product gross margin assumption alongside a 23% non-GAAP adjusted free cash flow margin.

How Have Estimates Been Moving Since Then?In the past month, investors have witnessed a upward trend in fresh estimates.

The consensus estimate has shifted 5.83% due to these changes.

VGM ScoresCurrently, Snowflake has a great Growth Score of A, though it is lagging a bit on the Momentum Score front with a B. However, the stock has a grade of F on the value side, putting it in the lowest quintile for this investment strategy.

Overall, the stock has an aggregate VGM Score of C. If you aren't focused on one strategy, this score is the one you should be interested in.

OutlookEstimates have been broadly trending upward for the stock, and the magnitude of these revisions looks promising. Notably, Snowflake has a Zacks Rank #3 (Hold). We expect an in-line return from the stock in the next few months.

Snowflake Inc. (SNOW - Free Report) has recently been on Zacks.com's list of the most searched stocks. Therefore, you might want to consider some of the key factors that could influence the stock's performance in the near future.

Over the past month, shares of this company have returned -5.1%, compared to the Zacks S&P 500 composite's -1.4% change. During this period, the Zacks Internet - Software industry, which Snowflake falls in, has lost 7.4%. The key question now is: What could be the stock's future direction?

While media releases or rumors about a substantial change in a company's business prospects usually make its stock 'trending' and lead to an immediate price change, there are always some fundamental facts that eventually dominate the buy-and-hold decision-making.

Revisions to Earnings EstimatesRather than focusing on anything else, we at Zacks prioritize evaluating the change in a company's earnings projection. This is because we believe the fair value for its stock is determined by the present value of its future stream of earnings.

We essentially look at how sell-side analysts covering the stock are revising their earnings estimates to reflect the impact of the latest business trends. And if earnings estimates go up for a company, the fair value for its stock goes up. A higher fair value than the current market price drives investors' interest in buying the stock, leading to its price moving higher. This is why empirical research shows a strong correlation between trends in earnings estimate revisions and near-term stock price movements.

For the current quarter, Snowflake is expected to post earnings of $0.45 per share, indicating a change of +28.6% from the year-ago quarter. The Zacks Consensus Estimate has changed +5.8% over the last 30 days.

For the current fiscal year, the consensus earnings estimate of $1.93 points to a change of +54.4% from the prior year. Over the last 30 days, this estimate has changed +13.1%.

For the next fiscal year, the consensus earnings estimate of $2.57 indicates a change of +33.2% from what Snowflake is expected to report a year ago. Over the past month, the estimate has changed +7.2%.

Having a strong externally audited track record, our proprietary stock rating tool, the Zacks Rank, offers a more conclusive picture of a stock's price direction in the near term, since it effectively harnesses the power of earnings estimate revisions. Due to the size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, Snowflake is rated Zacks Rank #3 (Hold).

The chart below shows the evolution of the company's forward 12-month consensus EPS estimate:

12 Month EPS

Revenue Growth ForecastWhile earnings growth is arguably the most superior indicator of a company's financial health, nothing happens as such if a business isn't able to grow its revenues. After all, it's nearly impossible for a company to increase its earnings for an extended period without increasing its revenues. So, it's important to know a company's potential revenue growth.

For Snowflake, the consensus sales estimate for the current quarter of $1.47 billion indicates a year-over-year change of +28.4%. For the current and next fiscal years, $6.07 billion and $7.55 billion estimates indicate +29.6% and +24.4% changes, respectively.

Last Reported Results and Surprise HistorySnowflake reported revenues of $1.39 billion in the last reported quarter, representing a year-over-year change of +33.5%. EPS of $0.39 for the same period compares with $0.24 a year ago.

Compared to the Zacks Consensus Estimate of $1.32 billion, the reported revenues represent a surprise of +5.23%. The EPS surprise was +21.88%.

The company beat consensus EPS estimates in each of the trailing four quarters. The company topped consensus revenue estimates each time over this period.

ValuationWithout considering a stock's valuation, no investment decision can be efficient. In predicting a stock's future price performance, it's crucial to determine whether its current price correctly reflects the intrinsic value of the underlying business and the company's growth prospects.

While comparing the current values of a company's valuation multiples, such as price-to-earnings (P/E), price-to-sales (P/S), and price-to-cash flow (P/CF), with its own historical values helps determine whether its stock is fairly valued, overvalued, or undervalued, comparing the company relative to its peers on these parameters gives a good sense of the reasonability of the stock's price.

The Zacks Value Style Score (part of the Zacks Style Scores system), which pays close attention to both traditional and unconventional valuation metrics to grade stocks from A to F (an A is better than a B; a B is better than a C; and so on), is pretty helpful in identifying whether a stock is overvalued, rightly valued, or temporarily undervalued.

Snowflake is graded F on this front, indicating that it is trading at a premium to its peers. Click here to see the values of some of the valuation metrics that have driven this grade.

ConclusionThe facts discussed here and much other information on Zacks.com might help determine whether or not it's worthwhile paying attention to the market buzz about Snowflake. However, its Zacks Rank #3 does suggest that it may perform in line with the broader market in the near term.

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SummaryTeradata offers a compelling value play versus Snowflake, combining profitability, disciplined spending, and robust AI capabilities for regulated, cost-sensitive enterprise clients.TDC’s AI Factory enables cost-effective AI deployment by minimizing token and data migration costs, appealing to clients with complex, hybrid, or on-premise data needs.Despite slower revenue growth than SNOW, TDC boasts expanding margins, growing recurring revenues, and a low P/E, supporting a moderate target price of $35.5.TDC’s strong free cash flow, prudent capital allocation, and cash-rich balance sheet position it defensively amid potential Fed tightening and AI infrastructure spending risks. J Studios/DigitalVision via Getty Images

With most of the talk currently about AI's agentic capabilities or autonomous software agents that can do all sorts of tasks, it is important not to ignore the cost factor because LLMs (large language models) are expensive

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Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, and no plans to initiate any such positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

This is an investment thesis and is intended for informational purposes. Investors are kindly requested to do additional research before investing.

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Snowflake Inc (NYSE:SNOW) remains well-positioned despite intensifying competition from Databricks, with Jefferies analysts writing that both companies are benefiting from growing enterprise demand for data and artificial intelligence infrastructure and have room to expand.

Jefferies noted that Databricks' annualized revenue run rate is on track to exceed $6.9 billion in the first half of fiscal 2027, representing about 65% year-over-year growth in its core business and roughly 80% growth including large language model monetization.

By comparison, the firm estimates Snowflake's revenue run rate at approximately $5.5 billion, growing 32% year over year.

The analysts wrote that Databricks is poised to surpass Snowflake in scale for the first time, though Snowflake maintains stronger profitability, generating free cash flow margins of around 23% while Databricks remains near breakeven.

Jefferies highlighted that Snowflake has accelerated growth over the past two quarters despite rising competition, delivering roughly four percentage points of product revenue acceleration in the first quarter of fiscal 2027 to 34% year-over-year growth.

The firm wrote that Snowflake's AI offerings, including CoCo and Snowflake CoWork, could drive additional monetization opportunities and increase consumption of its core data platform.

Databricks has also expanded its data warehousing business, with its SQL Warehouse product surpassing a $1.5 billion annualized revenue run rate. However, Jefferies wrote that Snowflake still has a materially larger data warehousing business and has significantly narrowed the technical gap over the past year, particularly in AI capabilities.

The analysts added that Databricks' Genie platform could help broaden AI adoption among business users by enabling employees to access and interact with enterprise data through integrations with applications such as Microsoft Teams, Slack and Google Drive.

Shares of Snowflake closed at about $235 on Wednesday, having gained about 7% so far this year.

Key Takeaways Snowflake's product revenues increased 34% as Cortex Code and Snowflake Intelligence saw rapid uptake. Alphabet's cloud revenue jumped 63% to roughly $20B, driven by AI and analytics demand. GOOGL outperformed SNOW YTD, supported by stronger cloud growth and earnings momentum. Snowflake (SNOW - Free Report) and Alphabet (GOOGL - Free Report) are major players in the cloud data and analytics space. While Snowflake provides a pure-play cloud data warehousing and analytics platform, Alphabet offers similar capabilities through Google Cloud’s BigQuery as part of its broader cloud ecosystem.

Snowflake or Alphabet — Which of these Cloud Analytics stocks has the greater upside potential? Let’s find out.

The Case for SNOW StockSnowflake is benefiting from strong adoption and growing usage of its platform, as reflected in a net revenue retention rate of 126% in the first quarter of fiscal 2027. In the same quarter, Snowflake reported 13,912 total customers and added 616 net new customers, up 38% year over year. The company now has 779 customers spending more than $1 million annually, up 29% year over year, and the number of customers spending more than $10 million annually increased to 64.

SNOW is benefiting from an expanding portfolio that is driving both accelerated growth and deeper customer engagement. In the first quarter of fiscal 2027, Product revenues grew 34% year over year, with AI products like Cortex Code and Snowflake Intelligence seeing the fastest adoption in company history.

The introduction and rapid adoption of products like Snowflake Intelligence and Cortex Code remain noteworthy. In the fiscal first quarter, Snowflake delivered more than 20% more product capabilities than last year. This includes new features in Cortex Code (CoCo) and Snowflake Intelligence. These products are seeing the fastest uptake in Snowflake’s history, with CoCo already in use by more than 7,100 accounts and Snowflake Intelligence more than doubling quarter over quarter.

SNOW is benefiting from a strategic expansion of its AI reach through deepening partnerships and innovative product launches. A key driver of Snowflake’s momentum is its expanded collaborations with Amazon’s cloud computing platform, Amazon Web Services. In May 2026, Snowflake announced a new $6 billion multiyear agreement with Amazon Web Services to accelerate enterprise AI adoption globally, leveraging Amazon’s AWS Graviton compute and AI services. This partnership builds on Snowflake’s surpassing of $7 billion in lifetime AWS Marketplace sales, reflecting the growing demand for AI and data workloads on its platform.

The Case for GOOGL StockAlphabet is growing its presence in the cloud analytics market with its cloud computing platform, Google Cloud’s BigQuery, a powerful serverless data warehouse solution. BigQuery is strongly integrated into the broader Google Cloud ecosystem, allowing enterprises to leverage Google’s infrastructure, data and AI services seamlessly.

The company has been growing rapidly in the booming cloud-computing market. In the first quarter of 2026, Alphabet’s cloud revenues surged 63% year over year to roughly $20 billion. This growth is primarily driven by the rapid adoption of enterprise AI solutions and advanced analytics platforms, such as BigQuery and Gemini Enterprise, which have become the primary engines of Google Cloud’s expansion.

Major global brands such as Bosch, Citi Wealth, Merck, and Mars Incorporated are leveraging Gemini Enterprise to drive business transformation. The number of paid monthly active users for Gemini Enterprise grew 40% quarter-over-quarter, and workflows powered by Gemini in BigQuery (Alphabet’s analytics platform) grew more than 30 times year over year.

Robust demand for AI-powered analytics and infrastructure solutions, with products built on Alphabet’s generative AI models, experienced nearly 800% year-over-year revenue growth in the first quarter of 2026. The company’s cloud backlog nearly doubled quarter-over-quarter to over $460 billion, reflecting a dramatic acceleration in enterprise adoption and long-term commitments.

Price Performance and Valuation of SNOW and GOOGLIn the year-to-date period, SNOW shares have gained 6.9%, underperforming Alphabet shares, which have risen 16.2%. GOOGL’s outperformance can be attributed to its continuing AI push across its search and cloud computing platforms.

The underperformance of SNOW can be attributed to lower gross margins from new AI products like Cortex Code compared to Snowflake’s core platform. Integration and hiring tied to acquisitions also weigh on free cash flow margins. Stiff competition also remains a concern.

SNOW and GOOGL Stock Performance
Image Source: Zacks Investment Research

Both SNOW and Alphabet shares are currently overvalued, as suggested by a Value Score of F and D, respectively.

In terms of forward 12-month Price/Sales, SNOW shares are trading at 12.26X, higher than GOOGL’s 9.52X.

SNOW and GOOGL Valuation
Image Source: Zacks Investment Research

How Do Earnings Estimates Compare for SNOW & GOOGL?The Zacks Consensus Estimate for SNOW’s fiscal 2027 earnings is pegged at $1.93 per share, which has increased 6.62% over the past 30 days. This indicates a 54.40% increase year over year.

The Zacks Consensus Estimate for Alphabet’s 2025 earnings is pegged at $14.30 per share, which has increased by a penny over the past 30 days. This indicates a 32.28% increase year over year.

SNOW’s earnings beat the Zacks Consensus Estimate in all the trailing four quarters, delivering an average surprise of 21.98%. Alphabet’s earnings beat the Zacks Consensus Estimate in all the trailing four quarters, delivering an average surprise of 34.43%. The average surprise of Alphabet is higher than that of Snowflake.

ConclusionWhile both SNOW and GOOGL are well-positioned to benefit from the booming cloud analytics market, Alphabet stands out as the more compelling investment in the cloud analytics space right now due to accelerated growth across AI infrastructure, Google Cloud and significantly higher earnings momentum compared to Snowflake.

Despite SNOW’s robust portfolio, the company suffers from challenging macroeconomic uncertainties and variability of consumption as customers optimize spend on AI products that carry lower gross margins than the core platform.

Snowflake and Alphabet carry a Zacks Rank #3 (Hold) at present. You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

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Hightouch’s activation and delivery platform powers AI-driven marketing orchestration for enterprise brands

SAN FRANCISCO--(BUSINESS WIRE)--Hightouch, a leader within the Activation & Delivery category for marketing, today announced at the Cannes Lions 2026 that it has been recognized by Snowflake, the AI Data Cloud company, as a Leader in The Modern Marketing Data Stack: Governing the Agentic Enterprise. Hightouch was identified in Snowflake’s report as a Leader in the Activation and Delivery category for helping brands activate governed customer data across advertising, marketing, and customer engagement channels.

Now in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a major shift in how marketing organizations operate—from fragmented tools toward AI-driven, agentic systems built on governed data foundations. This edition draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories, highlighting how organizations are bringing industry-leading applications directly to their data to drive faster execution and proven business outcomes across the marketing lifecycle, while addressing the growing demands of data gravity, privacy and trust.

“Marketing organizations are moving beyond experimentation with AI and looking for systems that can actually operationalize data and decisioning at scale,” said Tejas Manohar, Co-Founder and Co-CEO at Hightouch. “Being recognized as a Leader in Snowflake’s Modern Marketing Data Stack report reflects how enterprises are using Hightouch to activate trusted customer data, power agentic marketing workflows, and execute more intelligent customer experiences across every channel.”

Hightouch’s Composable CDP helps enterprise brands unify customer data and activate it directly from Snowflake across advertising, CRM, loyalty, and digital channels. Its Agentic Marketing Platform builds upon this Snowflake foundation to enable marketers to ship end-to-end campaigns powered by complete brand context, customer data, and performance history.

“Organizations should turn governed data into real-time customer engagement and intelligent marketing execution,” said Denise Persson, Chief Marketing Officer at Snowflake. “Hightouch continues to help joint customers bridge the gap between trusted data foundations and activation across the marketing ecosystem, supporting the shift toward more agentic, AI-powered marketing operations.”

Brands across industries use Hightouch and Snowflake together to improve audience targeting, streamline campaign execution, and create more personalized customer experiences across channels while maintaining strong governance and data control.

Learn more about The Modern Marketing Data Stack here.

About Hightouch

Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, Hightouch gives every marketer the power to build and ship end-to-end campaigns themselves. Trusted by leading brands like Domino’s, Autotrader, Cars.com, Aritzia, and PetSmart, Hightouch helps teams move faster, stay on brand, and get AI marketing that actually works.

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AI/ML development and deployment solution drives marketing ROI for joint customers June 22, 2026 10:00 ET  | Source: RelationalAI

SAN FRANCISCO, June 22, 2026 (GLOBE NEWSWIRE) -- RelationalAI, a leader in enterprise AI, today announced at Cannes Lions 2026 that it has been recognized by Snowflake, the AI Data Cloud company, as One to Watch in AI/ML development and deployment category in The Modern Marketing Data Stack: Governing the Agentic Enterprise. RelationalAI’s agentic decision intelligence system, Rel, enables marketing teams to build intelligent applications and decision agents grounded in business semantics, turning siloed customer and campaign data into actionable insights.

Now in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a major shift in how marketing organizations operate—from fragmented tools toward AI-driven, agentic systems built on governed data foundations. This edition draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories, highlighting how organizations are bringing industry-leading applications directly to their data to drive faster execution and proven business outcomes across the marketing lifecycle, while addressing the growing demands of data gravity, privacy and trust.

“Marketing leaders are increasingly expected to do more with less. They don’t need more dashboards, they need systems to help drive better decisions,” said Molham Aref, CEO of RelationalAI. “RelationalAI enables organizations to build intelligent applications that add context, reasoning, and post-training capabilities to empower marketing teams to take action using the data they already have in Snowflake. The result: measurable ROI.”

As marketing teams and organizations embrace AI-driven operations, they need more than dashboards and reports, they need systems that can support faster, more informed decisions. RelationalAI solves that problem and gives marketing teams the ability to take action and drive the bottom line. As a Snowflake Native App, marketing teams are able to scale experimentation, iterate rapidly, and co-develop use cases across operations and analytics with no data migrations or costly integrations needed.

“RelationalAI helps organizations transform data into intelligent decisions and actions. With Snowflake Data Cloud as the foundation, marketing teams are now able to operationalize their most impactful marketing initiatives,” said Denise Persson, Chief Marketing Officer at Snowflake. “We’re excited to see how RelationalAI continues advancing intelligent decision-making in the marketing space.”

Learn more about The Modern Marketing Data Stack here.

About RelationalAI
RelationalAI extends the Snowflake AI Data Cloud with enterprise decision intelligence, helping customers close the gap between understanding their Snowflake data and acting on it. Powered by semantic models, advanced reasoners, and post-training of open-weight LLMs, RelationalAI helps organizations build agents that understand business context and drive measurable ROI, all without moving data. Our goal: AI that can help run a company. Learn more at relational.ai.

Media Contact
Liz Chapa
Offleash PR for RelationalAI
[email protected]

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Recognition reflects DAS42's track record delivering identity resolution, audience enrichment, and agentic campaign management for enterprise marketers in media, entertainment, telecommunications, and consumer-centric technology companies

CANNES, France--(BUSINESS WIRE)--DAS42 today announced at Cannes Lions 2026 that it has been recognized by Snowflake, the AI Data Cloud company, as a featured services partner in The Modern Marketing Data Stack 2026: Governing the Agentic Enterprise. DAS42 was showcased in Snowflake’s report for its consulting work helping media, entertainment and telecommunications clients unify fragmented audience data, build identity resolution capabilities on Snowflake, then deploy AI-powered accelerators on top of that foundation to drive advertising revenue and customer acquisition at scale.

"Gaining huge efficiencies with AI are no longer aspirational future goals for our marketing clients. They're active priorities with real budgets and real urgency behind them." - Susan Cook, CEO, DAS42

Share Now in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a major shift in how marketing organizations operate—from fragmented tools toward AI-driven, agentic systems built on governed data foundations. This edition draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories, highlighting how organizations are bringing industry-leading applications directly to their data to drive faster execution and proven business outcomes across the marketing lifecycle, while addressing the growing demands of data gravity, privacy and trust.

“What we see every day is marketing and advertising teams moving from fragmented data to production AI faster than they thought possible,” says Susan Cook, CEO of DAS42. “Gaining huge efficiencies with AI are no longer aspirational future goals for our marketing clients. They're active priorities with real budgets and real urgency behind them. Snowflake's Modern Marketing Data Stack report is one of the most closely watched martech publications in this industry. Being named a featured services partner in this sector is something we're truly proud of.”

DAS42 helps enterprise marketing teams understand their customer data so they can take action. On Snowflake, DAS42 builds the identity resolution and enrichment infrastructure that makes customer data trustworthy and actionable, then layers in lookalike audience modeling and agentic campaign management that optimizes ad spend in real time. The result is more addressable ad inventory, better-performing campaigns, and audience data that can be monetized directly through advertising partnerships.

“Every year the Modern Marketing Data Stack report shows us where our customers are adapting the fastest, and DAS42's consulting work in marketing and advertising data is a clear signal,” says Denise Persson, Chief Marketing Officer at Snowflake. “The outcomes they're producing for enterprise marketers, from identity resolution to agentic campaign execution, speak for themselves. Partners like DAS42 are bringing the promise of Snowflake’s rapid innovation to fruition.”

Learn more about Snowflake’s Modern Marketing Data Stack report here.

About DAS42

DAS42 is a boutique data consultancy and Snowflake Elite Services Partner serving media and entertainment, telecommunications, and consumer-centric technology companies that need to get their data AI ready, fast. Named Snowflake’s 2026 Marketing and Advertising Services Partner of the Year, our full-stack consultants are deeply experienced across the Snowflake data ecosystem, handling architecture, engineering, and analytics in a single engagement. We deliver working progress at every milestone, compressing the journey from foundational data to advanced AI use cases into weeks rather than months. Learn more at DAS42.com.

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Acxiom fuels success in Identity & Onboarding and Collaboration with Snowflake AI Data Cloud

CONWAY, Ark.--(BUSINESS WIRE)--Acxiom, the connected data and technology foundation for the world’s leading brands, today announced at Cannes Lions 2026 that it has been recognized by Snowflake, the AI Data Cloud company, as a “Leader” in Identity & Onboarding and “One to Watch” in Collaboration in Snowflake’s The Modern Marketing Data Stack 2026: Governing the Agentic Enterprise report. Acxiom was recognized in Snowflake’s report for identity and data solutions embedded in Snowflake’s AI Data Cloud and data clean room innovation, which includes an expanded collaboration with Snowflake.

Now in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a major shift in how marketing organizations operate—from fragmented tools toward AI-driven, agentic systems built on governed data foundations. This edition draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories, highlighting how organizations are bringing industry-leading applications directly to their data to drive faster execution and proven business outcomes across the marketing lifecycle, while addressing the growing demands of data gravity, privacy, and trust.

"Our fifth consecutive recognition in Snowflake’s Modern Marketing Data Stack report underscores our continued commitment to put data to work and deliver optimal customer experiences,” said Courtney Keating, Chief Marketing Officer, Acxiom. "Acxiom and Snowflake native solutions empower our joint clients to resolve identity at scale and build agentic marketing on a solid data foundation."

Now with the power of connected data and identity, interoperability, and secure collaboration, clients can create personalized customer experiences while increasing time to market. A leading travel company saw its campaign launch time decrease by 96% after collaborating with Acxiom to help integrate and optimize its Snowflake-based data management solution. Acxiom Real ID resolved identity to securely collaborate with partners and created a single, accurate customer view to enable personalized marketing.

"Acxiom's identity resolution and momentum in collaborative applications show what's possible when partners build natively on the Data Cloud," said Denise Persson, Chief Marketing Officer, Snowflake. "Joint customers can lay the groundwork for AI-driven marketing, all with the governance and interoperability modern teams need."

Learn more about The Modern Marketing Data Stack here.

About Acxiom

Acxiom puts data to work, solving complex challenges for the world’s leading brands and agencies. As the connected data and identity foundation for Omnicom (OMC), Acxiom unifies, connects, and prepares data for AI-driven marketing and decision-making, maximizing technology investments. As leaders in data ethics and governance, Acxiom brings a privacy-first approach to serving clients globally, with locations in the U.S., UK, Germany, China, Poland, and Mexico. Connect with Acxiom on LinkedIn and discover more at Acxiom.com.

Piano fuels success in Data Capture and Customer Analytics through collaboration with Snowflake AI Data Cloud June 22, 2026 10:50 ET  | Source: Piano

PHILADELPHIA, June 22, 2026 (GLOBE NEWSWIRE) -- Piano today announced at Cannes Lions 2026 that it has been recognized by Snowflake, the AI Data Cloud company, as a Leader in The Modern Marketing Data Stack: Governing the Agentic Enterprise. Piano was identified in Snowflake’s report as a leader in the Data Capture and Customer Analytics for "unifying customer data and behavioral analytics on the Snowflake Data Cloud to enable real-time segmentation, AI-powered insights, and personalized customer experiences."

Now in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a major shift in how marketing organizations operate—from fragmented tools toward AI-driven, agentic systems built on governed data foundations. This edition draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories, highlighting how organizations are enabling AI to move beyond assistance to decisioning and action across the marketing lifecycle, while addressing the growing demands of data gravity, privacy and trust.

“We are delighted to be named a Leader in Snowflake’s Modern Marketing Data Stack report, which reveals which technologies use AI to help businesses extract maximum value from their data. Our partnership with Snowflake is built on this theme, and together our tools deliver better insights that grow revenue,” said Nick Worth, CEO at Piano.

Through the Snowflake partnership, Piano helps unify data and customer metrics in real-time, so shared customers can continually optimize for better performance. Piano’s suite of easy-to-use tools layer onto a company’s own data, helping create a data-driven culture that breaks down silos and allows everyone across the organization to pull data.

“This is the fifth year in a row that Piano has earned a spot as a Leader in our report. What sets Piano apart in marketing and analysis is their ability to build directly on the data layer, operate seamlessly from it, and leverage modern data sharing in real time while prioritizing data quality and privacy,” said Denise Persson, Chief Marketing Officer at Snowflake.

Learn more about The Modern Marketing Data Stack

here.

About Piano

Piano is the digital analytics and subscription management platform that empowers businesses to understand their audience, orchestrate journeys, and grow revenue. Its market-leading subscription tools enable clients to engage, acquire and retain paying customers, while Piano Analytics delivers clean, compliant data with AI-powered insights for smarter decision-making. The company serves a global client base including the BBC, Deutsche Telekom, Crédit Agricole, Nikkei, The Telegraph, and the Wall Street Journal. For more information, visit piano.io.

Contact information

Emily Riley
[email protected]
914-330-1128

Tealium was recognized for helping joint customers unify governed data, audience activation, and AI-driven marketing outcomes in the Snowflake AI Data Cloud June 22, 2026 11:59 ET  | Source: Tealium Inc.

San Diego, June 22, 2026 (GLOBE NEWSWIRE) -- Tealium today announced at Cannes Lions 2026 that it has been recognized by Snowflake, the AI Data Cloud company, as a One to Watch in The Modern Marketing Data Stack: Governing the Agentic Enterprise, in the Activation & Delivery Category.

Tealium works with Snowflake’s AI Data Cloud to help joint customers unify data activation and analytics in a single governed environment, turning trusted customer data into real-time, personalized engagement at scale.

“Modern marketing runs on trusted data, strong governance, and the ability to move from insight to action without friction,” said Denise Persson, CMO at Snowflake. “Tealium’s work with Snowflake helps joint customers bring audience creation and activation closer to their data, giving marketing and data teams a more efficient way to operationalize AI-driven insights and deliver more timely, relevant customer engagement. As brands modernize their martech stacks for the agentic era, this kind of ecosystem innovation is what helps turn data into action.”

Now in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a major shift in how marketing organizations operate – from fragmented tools toward AI-driven, agentic systems built on governed data foundations. This edition draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories, highlighting how organizations are bringing industry-leading applications directly to their data to drive faster execution and proven business outcomes across the marketing lifecycle, while addressing the growing demands of data gravity, privacy and trust.

Tealium serves as the orchestration layer for real-time data collection, audience management, activation, and customer engagement. Together, Tealium and Snowflake enable enterprises to build audiences once in Snowflake and activate trusted customer data on a scheduled basis, through event-based triggers, or in real time.

The integration helps teams transform raw event streams into AI-ready structured tables without exporting data outside of Snowflake. Organizations can also operationalize AI use cases by invoking their own models through Tealium and Snowflake Cortex to power intelligent customer interactions and decisioning.

Tealium also recently launched Audience Discovery for Snowflake, a native application now available in the Snowflake Marketplace. The application allows enterprises to define and manage audiences directly from Snowflake data without moving data outside of their Snowflake environment. Running entirely within the customer’s Snowflake account, Audience Discovery creates audience tables and corresponding views for activation workflows. Audience data refreshes automatically on a configurable schedule, while Tealium securely reads from those views through a Snowflake data source to activate customer records across downstream channels and systems.

Learn more about the breadth of capabilities with Snowflake and Tealium.

Learn more about The Modern Marketing Data Stack here.

To keep up with the latest company news, visit Tealium’s Newsroom.

About Tealium
Tealium delivers trusted data for AI at enterprise scale with its leading customer data orchestration platform. As the foundational data layer, Tealium delivers a modern customer data platform (CDP) built for both composable architectures and real-time activation, including intelligent data streaming, a context engine, enterprise tag management, and a robust API Hub. Its turnkey integration ecosystem connects seamlessly with leading data clouds and technology providers, including more than 1,300 prebuilt integrations and a growing AI Partner Ecosystem. By delivering real-time, contextual, enriched, and consented data, Tealium helps enterprises accelerate AI performance, improve operational efficiency, and power customer experiences in the moments that matter. More than 850 global businesses trust Tealium to deliver their customer data strategies. For more information, visit www.tealium.com. 

Tealium Audience Discovery for Snowflake Contact Data Natalie Passarelli Tealium Inc. [email protected]

Snowplow’s analytics & measurement solutions accelerate agentic innovation for joint customers

BOSTON--(BUSINESS WIRE)--Snowplow today announced at Cannes Lions 2026 that it has been recognized by Snowflake, the AI Data Cloud company, as a leader in The Modern Marketing Data Stack: Governing the Agentic Enterprise. The report recognizes Snowplow in the Analytics & Measurement category for delivering high-quality, real-time, event-level behavioral data directly into the AI Data Cloud, powering agentic marketing analytics and hyper-personalized customer experiences.

"Marketing measurement is only as trustworthy as the data underneath it..."

ShareNow in its fifth year, Snowflake’s Modern Marketing Data Stack report reflects a major shift in how marketing organizations operate—from fragmented tools toward AI-driven, agentic systems built on governed data foundations. This edition draws on insights from more than 11,500 Snowflake customers and ecosystem partners across 13 categories, highlighting how organizations are bringing industry-leading applications directly to their data to drive faster execution and proven business outcomes across the marketing lifecycle, while addressing the growing demands of data gravity, privacy and trust.

"Marketing measurement is only as trustworthy as the data underneath it, and for most teams that data is still client-side, sampled, and arriving in the warehouse too late to act on," said Alex Dean, co-founder and CEO of Snowplow. "Snowplow captures behavioral data server-side and delivers it in real time into Snowflake, governed at the schema level, which is how joint customers like HelloFresh improved data accuracy from 33% to 95% and built measurement they could actually run their business on. That same high-quality, real-time customer context now powers the AI agents marketing teams are putting into production. Being named a Leader for the third year running shows that the context layer marketers have needed for a decade is finally here."

For marketing teams on the AI Data Cloud, Snowplow's deep, native integration with Snowflake unlocks the full spectrum of modern measurement from within their own data platform—accurate attribution, multi-touch and marketing mix modeling, granular customer analytics—while establishing the same trusted foundation that powers joint customers’ AI agents. For organizations consolidating on the AI Data Cloud, Snowplow is the real-time customer context layer that makes both motions possible on a single, governed set of data.

"In an AI-driven era, the trustworthiness of marketing measurement comes down to whether the underlying behavioral data is captured, governed and acted on in real time inside the data platform," said Denise Persson, Chief Marketing Officer, Snowflake. "Snowplow stands out in the Snowflake ecosystem for offering exactly that—event-level data validated and enriched in real time inside the AI Data Cloud, integrating deep customer context directly into the analytics and AI applications our joint customers build on Snowflake."

Customer Spotlight: HelloFresh – By migrating from legacy analytics tooling to a composable analytics approach with Snowplow, HelloFresh improved data accuracy from 33% to 95%, giving data science, marketing, and product teams a single trusted view to build customer behavior models and make smarter, faster optimization decisions.

"The full integration has been very transformative in regards to how we can centralize all our data. Because we now have this capability, we can empower teams to have more rapid, accurate insights and enable more agile data-driven decisions." — David Castro Gavino, Former Global Vice President of Data, HelloFresh

Learn more about The Modern Marketing Data Stack here.

About Snowplow: Snowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow's event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month. More than 250 companies, including Experian, AutoTrader, Strava, Condé Nast, and HelloFresh, rely on Snowplow to build a well-governed, first-party data foundation that powers their customer-facing AI agents, in-session personalization and recommendations, and real-time analytics. To learn more, visit snowplow.io.

(Please note: Snowplow and Snowflake are entirely separate, independent entities with no corporate affiliation or relationship beyond their technology partnership.)

Key Takeaways INOD and SNOW both delivered strong quarterly results as AI boosts data infrastructure demand.Innodata raised its 2026 revenue growth outlook as AI revenue scaled and margins expanded.Snowflake's AI adoption is rising, but Innodata's lower valuation supports its upside case. Artificial intelligence, or AI, is driving unprecedented demand for enterprise data infrastructure, making companies that enable AI development increasingly attractive investment opportunities. Innodata (INOD - Free Report) and Snowflake (SNOW - Free Report) are two notable beneficiaries, though they address different parts of the AI ecosystem.

Innodata focuses on AI data engineering and model development services, while Snowflake provides a cloud-based AI data platform that helps enterprises build and deploy AI applications. Both companies recently delivered strong quarterly results and raised expectations, making this an appropriate time to compare their fundamentals.

Let's dive deep and closely compare the fundamentals of the two stocks to determine which one is a better investment now.

The Case for Innodata StockInnodata has transformed itself from a traditional digital services company into a high-growth AI infrastructure provider. The company's first-quarter 2026 results reinforced that transformation. Revenues surged 54% year over year to a record $90.1 million, while adjusted EBITDA nearly doubled to $25 million. Gross margin expanded 400 basis points year over year to 47%, reflecting strong operating leverage as AI-related revenues continued to scale. Management raised its 2026 revenue growth outlook to approximately 40% or more from at least 35%, highlighting increasing visibility into customer demand.

The biggest growth driver remains expanding relationships with hyperscale AI developers. During the quarter, Innodata announced new engagements with another leading Big Tech customer that could generate roughly $51 million of revenue in 2026. A customer that contributed no revenue a year earlier is expected to become Innodata's second-largest customer this year. Management also noted that revenue diversification continues to improve as business with multiple large AI customers expands simultaneously.

Beyond data preparation, Innodata is moving deeper into higher-value AI services. Its Evaluation and Observability Platform allows enterprises to evaluate and monitor AI agents, opening another recurring revenue opportunity. Early customer interest and discussions with hyperscale partners suggest this business could become another growth engine over time.

The primary challenge remains concentration risk. Although customer diversification is improving, several large technology companies still account for a meaningful portion of revenues. The company's rapid growth also creates execution risk, and maintaining current margins while aggressively expanding capacity may become increasingly difficult. In addition, after its exceptional stock performance, expectations have become much higher, leaving less room for operational disappointments.

The Case for Snowflake StockSnowflake continues to strengthen its position as one of enterprise software's leading AI data platforms. The company reported an outstanding first-quarter fiscal 2027, with revenues increasing 33% year over year to $1.39 billion while product revenues climbed 34%. Product revenue growth accelerated from prior quarters, net revenue retention improved to 126%, and remaining performance obligations increased 38%, indicating healthy long-term demand. Management responded by raising full-year product revenue guidance from 27% growth to 31% growth.

AI is becoming a much larger contributor to Snowflake's growth story. More than 13,600 accounts now use Snowflake AI capabilities, while the adoption of Snowflake Intelligence and Cortex Code has accelerated rapidly. Management believes AI is driving higher consumption of its core platform while also creating entirely new software opportunities through agentic AI applications.

Snowflake is also investing aggressively to extend its competitive advantage. The planned acquisition of Natoma expands governance and security capabilities for enterprise AI agents, addressing one of the biggest concerns surrounding agentic AI deployment. At the same time, the company's expanded multi-year AWS collaboration, including a $6 billion infrastructure commitment, should accelerate enterprise AI adoption while strengthening Snowflake's cloud ecosystem.

However, Snowflake also faces challenges. Enterprise software remains intensely competitive, with major cloud providers and data platform vendors investing aggressively in AI capabilities. The company's consumption-based business model can produce quarterly variability as customers optimize cloud spending. Moreover, despite improving profitability, Snowflake continues to invest heavily in research, product development and sales to maintain technology leadership.

INOD vs. SNOW: Diverging Stock PerformanceThe market has rewarded Innodata far more aggressively this year. INOD shares have surged 78% year to date, dramatically outperforming the S&P 500's 9.7% gain as investors embraced its accelerating AI data engineering opportunity. Snowflake has gained a more modest 3.3%, reflecting investors' balanced view of its improving fundamentals alongside its already large market capitalization.

The difference illustrates investor expectations. Innodata remains an earlier-stage AI growth company capable of delivering outsized upside if execution continues, while Snowflake offers a more established and diversified enterprise software business with steadier, but potentially less explosive, appreciation.

INOD vs SNOW Price Performance (YTD)

Image Source: Zacks Investment Research

Valuation Gap Favors Innodata StockOn a forward 12-month price-to-sales (P/S) basis, Innodata trades at 7.29X, well below Snowflake's 11.81X. Despite its lower valuation, Innodata is delivering robust AI-driven growth and expanding margins, suggesting greater potential for multiple expansion if execution remains strong. Snowflake's premium reflects its larger scale, recurring revenue model and leadership in enterprise data platforms. While Snowflake deserves a valuation premium, Innodata offers a more attractive risk-reward profile for growth-oriented investors, given its significantly lower multiple and strong growth trajectory.

INOD vs SNOW Valuation (P/S F12M)

Image Source: Zacks Investment Research

INOD vs SNOW: Earnings Outlook Continues ImprovingAnalysts have become more optimistic toward both companies over the past two months.

For Innodata, the Zacks Consensus Estimate for 2026 earnings per share (EPS) has increased to $1.14 from $1.06 over the past 60 days. The estimate implies 23.9% earnings growth on 40.6% revenue growth. Looking ahead to 2027, earnings are expected to rise another 61.4% alongside 31% revenue growth.

INOD EPS Estimate

Image Source: Zacks Investment Research

Snowflake has also experienced positive estimate revisions. The Zacks Consensus Estimate for fiscal 2027 EPS has increased to $1.93 from $1.81 over the past 30 days. Current projections call for 54.4% EPS growth on 29.6% revenue growth, followed by another 33.2% earnings increase on 24.4% revenue growth during fiscal 2028.

SNOW EPS Estimate

Image Source: Zacks Investment Research

Which Stock Has the Edge?Innodata is benefiting directly from surging AI infrastructure spending, expanding relationships with multiple hyperscale AI developers, rising margins and improving customer diversification. Its smaller revenue base also provides greater room for sustained high-growth expansion if management continues executing well.

Snowflake remains an outstanding long-term AI platform with durable competitive advantages, strong enterprise adoption and accelerating AI innovation. However, given its much larger size, future growth is naturally likely to be steadier than explosive.

While Snowflake offers greater scale, a stronger competitive moat and lower execution risk, Innodata currently appears to have the edge from an upside perspective. The company combines faster expected growth with a substantially lower valuation, creating a more attractive risk-reward setup. Although both companies carry a Zacks Rank #3 (Hold), Innodata's combination of accelerating AI demand, improving profitability and valuation discount makes it the more compelling opportunity for growth-oriented investors. You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

Crude oil has fallen back toward $80 a barrel, down from above $100 at the peak of this year's U.S.-Iran conflict, after the two sides moved closer to reopening the Strait of Hormuz and let shipments flow again.

The drop matters well beyond the gas pump. Surging oil had pushed U.S. inflation back above 4% and led traders to start pricing in the risk of a Federal Reserve interest rate hike later this year. As crude retreats, those inflation and rate fears are cooling -- and that has fueled a sharp rally in technology stocks, with the Nasdaq Composite jumping and Wall Street's main gauge of volatility sliding.

Lower rates, or even just lower odds of higher rates, tend to lift one group more than any other: highly valued growth stocks, whose worth rests on profits expected years down the road.

Here are three technology stocks that stand to benefit the most.

Image source: Getty Images.

1. Snowflake Few large software stocks are as sensitive to the direction of rates as Snowflake (SNOW +3.36%). The data-cloud company is still unprofitable on a generally accepted accounting principles (GAAP) basis, and its stock trades at about 17 times trailing sales -- a price that assumes years of rapid growth still to come. When the market frets less about higher rates, the distant profits baked into a valuation like that get discounted less heavily.

Fortunately, barring the fact that it remains unprofitable, it has shown significant progress in some key areas recently.

In its fiscal first quarter of 2027 (the period ended April 30, 2026), Snowflake's product revenue rose 34% year over year to $1.33 billion, and remaining performance obligations (contracted revenue it hasn't yet recognized) climbed 38% to $9.21 billion.

Today's Change

(

3.36

%) $

7.83

Current Price

$

240.61

And management recently raised its full-year product revenue outlook, now pointing to 31% growth.

As of this writing, the data stock has nearly doubled from its April low, so the easy money may already be made. But of the three names here, Snowflake may be the most direct bet on fading rate fears.

2. Salesforce Salesforce (CRM 0.89%) is a more measured version of the same idea.

The enterprise software company is solidly profitable and generates billions in free cash flow, so its shares aren't priced anywhere near as aggressively; it trades at a forward price-to-earnings ratio of about 12 -- a fraction of where it was a few years ago. That cheaper starting point means less rate-driven upside, but also less to give back if the relief proves short-lived.

Today's Change

(

-0.89

%) $

-1.48

Current Price

$

164.41

In the meantime, Salesforce's business continues to perform well. Revenue in Salesforce's fiscal first quarter of 2027, which also ended April 30, 2026, rose 13% year over year to $11.1 billion, and its Agentforce line -- the company's push into artificial intelligence (AI) agents -- reached $1.2 billion in annual recurring revenue, more than tripling from a year earlier.

3. Oracle No company here is spending like Oracle (ORCL +4.62%). The database and cloud giant is racing to build data centers for AI customers, and the bill is staggering. Free cash flow ran to negative $23.7 billion in fiscal 2026, and the company has guided for about $70 billion in net cash outlay for capital expenditures in fiscal 2027. To pay for it, Oracle is leaning on its balance sheet and the capital markets, with plans to raise billions more in equity and debt.

Today's Change

(

4.62

%) $

8.51

Current Price

$

192.64

That puts the cost of borrowing at the center of the story. When the threat of higher rates recedes, financing a build-out this size gets cheaper -- and cheaper energy from falling oil may ease the cost of running so many data centers.

And the demand is there to justify the spending, at least for now. Oracle's cloud infrastructure revenue jumped 93% year over year in its fiscal fourth quarter (the period ended May 31, 2026), and its backlog of contracted business swelled to $638 billion.

The bottom line Of course, if the Strait of Hormuz gets disrupted again, or if underlying core inflation remains persistently stubborn, oil could climb and rate-hike fears could return. And the Federal Reserve meets this week, adding another layer of uncertainty.

So, I'd be wary of treating a few good days as a reason to chase these stocks.

Still, if cheap oil prices do hold, more speculative stocks like Snowflake and Oracle could benefit more than a conservatively valued tech stock like Salesforce. But since Salesforce is already cheap and profitable, it may be the easiest of the three to own, no matter where crude goes next. After all, it's the businesses underneath that investors should focus on.

Building on innovations introduced at Qlik Connect® 2026, Qlik helps Snowflake customers bring more enterprise data into Snowflake in real time, extend Snowflake and Snowflake Cortex AI workflows with governed enterprise context, and connect analytics to governed action.

Key takeaways:

Bring more enterprise data into Snowflake in real time: Qlik helps customers move data from SAP, mainframe, SaaS, databases, and streaming environments into Snowflake with speed and scale. Extend Snowflake and Snowflake Cortex AI workflows with governed enterprise context: Qlik helps customers connect Snowflake data with governed data products, lineage, quality signals, and business context, including relevant context that may sit outside Snowflake. Connect insight to governed action: Qlik extends Snowflake investments with analytics, open agent interoperability, and workflow activation so teams can move from data to insight to action more effectively. SAN FRANCISCO--(BUSINESS WIRE)--Qlik® today announced expanded ways for Snowflake customers to bring real-time enterprise data, governed business context, and open agentic capabilities into Snowflake-centered AI and analytics initiatives. Timed for Snowflake Summit 26, the announcement builds on innovations introduced at Qlik Connect 2026 and highlights how Qlik complements Snowflake by helping joint customers connect more enterprise data to downstream analytics and AI.

As organizations push beyond AI pilots, many are finding that the bottleneck is not model access. The harder challenge is connecting current enterprise data, preserving business meaning, and governing how AI insights are used across real workflows without adding more lock-in, cost opacity, or operational risk.

Qlik helps address that need by moving enterprise data into Snowflake in real time, shaping reusable governed data products, and extending analytics and AI workflows with governed context from systems and data sources that may sit beyond Snowflake. As a Snowflake Elite Technology Partner, Qlik brings together data integration, data quality, analytics, and open agent interoperability in a way that helps joint customers accelerate AI value while preserving trust and control.

Qlik is also introducing a Snowflake Native App for Qlik Model Context Protocol (MCP) Server, connecting Snowflake Intelligence and Cortex Agents to Qlik Cloud. The app lets Cortex Agents access Qlik-governed data and analytics assets directly from Snowflake workflows, including Qlik apps, KPIs, formulas, chart data and lineage, grounding natural-language exploration in Qlik’s trusted analytics engine.

“Snowflake customers do not need more AI experimentation around the edges,” said Josh Good, VP, Tech Ecosystems & Strategy at Qlik. “They need a practical way to get more value from Snowflake by bringing in more enterprise data, preserving business context, and connecting Snowflake and Cortex workflows to governed intelligence across the business. Qlik helps do that with the flexibility and control enterprises expect.”

“Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data,” said Amy Kodl, SVP, Worldwide Alliances and Channels at Snowflake. “Qlik complements that foundation by helping joint customers connect more enterprise data and business context to Snowflake workflows, so teams can move faster from data to insight to action with the governance required at enterprise scale.”

What’s new

Real-time enterprise data into Snowflake: Qlik supports CDC, streaming, batch, and event-driven movement from hundreds of enterprise sources into Snowflake, helping customers reduce latency and accelerate time to analytics. Governed data products and business context: Qlik helps customers create curated, governed, and reusable data products with lineage, quality controls, stewardship, and trust signals that improve confidence in analytics and AI-driven decisions. Context for Snowflake Intelligence and Cortex AI workflows: The Snowflake Native App for Qlik MCP Server connects Snowflake Intelligence and Cortex Agents to Qlik Cloud, helping customers bring Qlik-governed analytics context, including relevant enterprise context that may sit outside Snowflake, into Snowflake workflows. An open fit with existing investments: Qlik is designed to work with the systems customers already use, helping teams extend their Snowflake environment with trusted intelligence rather than adding another stack. Together, Qlik and Snowflake help organizations turn strong data infrastructure into more trusted, explainable, and actionable AI outcomes. That gives joint customers a more practical path to enterprise AI, especially in environments where SAP data, operational systems, documents, and real-time streams all need to work together under governance.

Check out keynotes from Snowflake Summit 26 live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and X.

About Qlik
Qlik helps teams get more out of AI with data they can rely on and control. It delivers trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk, keep operating costs in check, and scale AI responsibly as needs evolve. Used by 75% of the Fortune 500, Qlik supports customers worldwide. Qlik works with the systems and partners customers already use, so teams can stay flexible without lock-in.

© 2026 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.

Baron Global Opportunity Fund declined 4.8% (Institutional Shares) during the first quarter. Top contributors to performance were Space Exploration Technologies Corp., ASML Holding N.V., and Taiwan Semiconductor Manufacturing Company Limited. Top detractors to performance were Shopify Inc., Snowflake Inc., and Bajaj Finance Limited.