Who Is Buying Snowflake? Hedge Fund Activity in 2026

Snowflake (SNOW) is generating one of the most divided institutional debates in the cloud data space. The latest 13F filings reveal a perfect split — 7 funds buying and 7 selling — making the cloud data platform one of the most contested names among hedge fund managers this quarter. With 18 active funds tracked and the stock trading around $151.84, the institutional tug-of-war on Snowflake is intense.

The division isn't random. Tech-focused growth funds and quant shops are accumulating, while macro-oriented managers and some multi-strategy funds are trimming. Let's dive into who's on which side and what the split signals.

Key Stats at a Glance

• 7 funds buying | 7 funds selling | 4 holding steady
• 18 active institutional funds tracked
• Current price: ~$151.84
• Top institutional holders: Vanguard ($4.6B), Fidelity ($2.1B), State Street ($1.1B)

The perfectly balanced 7-to-7 ratio is rare and significant — it means the smart money is genuinely split on Snowflake's near-term prospects.

Who's Buying Snowflake?

The buying side features several funds with deep expertise in technology investing.

Vanguard increased its dominant $4.6 billion position, while Fidelity added to its $2.1 billion stake and State Street grew its $1.1 billion holding. All three of the largest institutional holders are buying — a strong foundation of support.

Among active hedge funds, Coatue Management stands out with a $376.7 million increased position. Philippe Laffont's tech-focused fund has deep expertise in cloud computing and data infrastructure — their conviction in Snowflake carries significant weight in tech circles.

Citadel built its position to $200.6 million, showing that Ken Griffin's multi-strategy powerhouse sees value at current levels. Two Sigma opened a brand new position in Snowflake, adding a fresh quant perspective to the bull case. Baker Bros also increased its smaller $4.8 million stake.

Who's Selling Snowflake?

The selling side features equally prominent names, creating a genuine institutional standoff.

Appaloosa Management leads the sellers with a $497.6 million position that was decreased. David Tepper reducing a near-$500 million stake is a significant bearish signal from one of the most respected macro investors.

Altimeter Capital cut its $307.9 million position — particularly notable because Brad Gerstner's fund specializes in technology growth investing. When a dedicated tech growth fund trims Snowflake, it raises questions about valuation relative to growth expectations.

D.E. Shaw reduced to $46.9 million, Millennium trimmed to $32.4 million, Soros Fund decreased to $13.7 million, and Bridgewater cut to $3 million.

Most dramatically, Renaissance Technologies sold its entire position — a complete exit from the stock.

Notable Moves

Two Sigma's new position on the buying side versus Renaissance's complete exit on the selling side creates a fascinating quant-vs-quant dynamic. Two quantitative powerhouses have reached opposite conclusions about Snowflake, suggesting their models are processing different signals or operating on different time horizons.

Coatue's increased $376.7 million bet is arguably the most informative signal. As a technology-specialist fund, Coatue's analysts deeply understand cloud data economics, consumption-based pricing models, and competitive dynamics. Their conviction suggests they see Snowflake's data cloud strategy gaining traction in ways the market hasn't fully appreciated.

Appaloosa's reduction of nearly $500 million in holdings is equally meaningful. Tepper's fund tends to be valuation-sensitive, and the decrease may reflect a view that Snowflake's premium multiple leaves limited upside at current prices.

The Altimeter reduction adds another tech specialist to the bearish column, creating a direct disagreement between two deep tech investors (Coatue vs. Altimeter).

What This Signals

Snowflake's 7-7 split tells a nuanced story. The institutional community agrees on one thing: SNOW is important enough to hold strong opinions about. Where they disagree is on the risk-reward at current valuations.

The bull case, represented by Coatue, Citadel, and Two Sigma:

• Snowflake's consumption-based model is gaining enterprise adoption
• AI workloads are driving increasing data processing demand
• The company's data sharing and marketplace capabilities create network effects
• Revenue growth remains strong relative to cloud peers

The bear case, represented by Appaloosa, Altimeter, and Renaissance:

• Valuation remains stretched relative to growth deceleration
• Competition from Databricks, cloud-native solutions, and open-source alternatives is intensifying
• Consumption-based revenue can be volatile during economic slowdowns
• Margin expansion has been slower than expected

For investors, the 7-7 split suggests Snowflake is at an inflection point. The next few quarters of earnings will likely break the institutional stalemate one way or the other. When this many smart funds disagree, the eventual resolution often produces significant price movement.

What makes Snowflake's institutional picture particularly interesting is the scale of conviction on both sides. The buyers aren't just nibbling — Coatue is holding $376.7 million and Citadel has $200.6 million. The sellers aren't just trimming — Appaloosa cut nearly $500 million and Altimeter reduced over $300 million. This is a high-stakes debate between funds that have done deep work on the name.

The key metric to watch going forward is Snowflake's consumption growth. As a consumption-based business, revenue growth directly reflects how much data customers are processing through the platform. If AI workloads accelerate data consumption, the bulls win. If enterprises optimize spending and slow consumption growth, the bears will be vindicated.

For institutional flow watchers, Snowflake is the ultimate "show me" stock — where the next earnings report could decisively shift the balance of institutional opinion.

Reading the SNOW Institutional Tea Leaves

When analyzing Snowflake's evenly split institutional positioning, context matters as much as the numbers. The identity of the buyers and sellers reveals the nature of the disagreement. Coatue and Citadel — both with significant technology expertise — are buying. Appaloosa and Altimeter — also technology-savvy — are selling. This isn't a case of "dumb money" selling while "smart money" buys. Both sides are sophisticated, well-researched, and deeply familiar with cloud computing economics.

This kind of high-quality disagreement often resolves through catalysts — earnings surprises, product announcements, or competitive developments that validate one thesis over the other. Investors watching SNOW should pay particular attention to the company's remaining performance obligations (RPO) and net revenue retention metrics, as these forward-looking indicators will likely determine which side of the institutional debate proves correct.

The 18 active funds tracking Snowflake — the highest count in this analysis batch — underscore the stock's importance in institutional portfolios. Whatever direction the debate resolves, the price movement could be amplified by the volume of institutional capital ready to react.

Track Snowflake Institutional Activity

Track SNOW institutional moves in real-time with Freenance Smart Money — we track 35 funds with $21.4T total AUM across 77,111 positions. See who's buying and selling at app.freenance.io/smart-money/ticker/SNOW.

Related Articles

• Who Is Buying NVIDIA? Hedge Fund Activity in 2026
• Who Is Buying Apple? Hedge Fund Activity in 2026
• Who Is Buying Tesla? Hedge Fund Activity in 2026

FAQ

Why is the institutional view on Snowflake so evenly split?

A 7-7 buyer-seller split typically signals genuine disagreement about valuation rather than sentiment. Bulls focus on Snowflake's consumption growth and AI-driven workload acceleration, while bears emphasise multiple compression risk and competitive pressure from Databricks and cloud-native alternatives.

What makes Snowflake's data warehouse positioning strategically important?

Snowflake decouples compute and storage in a way that lets enterprises scale data workloads on demand across multiple clouds. This architecture is attractive to large customers because it reduces vendor lock-in at the infrastructure layer while centralising data governance, which institutional analysts view as a structural advantage in winning enterprise contracts.

How do AI and machine learning workloads affect Snowflake's revenue?

AI and ML pipelines tend to be data-hungry, generating sustained compute consumption for training and inference on enterprise datasets. Because Snowflake's revenue is consumption-based, broader enterprise AI adoption can translate directly into higher platform usage — making AI workload growth one of the most-watched signals in the bull thesis.

What is the consumption model and why does it matter for SNOW investors?

Under the consumption model, customers pay for the compute and storage they actually use rather than a flat subscription, so revenue moves with usage intensity. This makes Snowflake's growth more sensitive to enterprise IT budgets and optimisation cycles, which is why analysts track remaining performance obligations and net revenue retention closely.

Should I act on the 7-7 split when deciding about SNOW?

No — a balanced split among funds is information, not guidance. 13F filings are lagged and partial, and personal decisions about SNOW depend on your own risk tolerance, time horizon, and research; nothing in this article is a recommendation to buy or sell.