Best Data Center Stocks

The thesis is simple to state and easy to over-apply. Artificial intelligence needs compute, compute needs data centers, and data centers need real estate, power, cooling, and a grid that can deliver electricity at a scale the system was not built for. That demand shows up at every layer at once, which is why the theme spans REITs, industrials, utilities, and chipmakers rather than a single sector. Three things are worth holding in mind.

• The bottleneck has moved to power. Chips are abundant relative to the electricity needed to run them, so power generation, electrical equipment, and grid construction have become as central to the theme as the silicon itself.
• The layers behave differently. REITs act like real estate, equipment makers track capital spending, and chip and server names are the most volatile. Owning across layers spreads risk versus concentrating in one.
• It is still one theme. Much of the group depends on continued heavy AI capital spending, so these names move together more than their different businesses suggest. A slowdown in that spending would hit many of them at once.

None of this is a recommendation. It is the framework most long-term investors use to read a list like the one below without treating it as a set of hot tips.

Below are the data center stocks most widely held and discussed going into 2026, grouped by the role each one plays in the buildout. For each, the note explains what the business is and why it is commonly held, not whether you should own it. Every name links to its own page with the deeper detail.

The same names, grouped by role, so you can scan the breadth across the list rather than read it as a ranking.

A list of stocks is an input, not a portfolio. The difference between the two is structure: which roles you want exposure to, how much weight each name gets, and the discipline to keep no single position from dominating. The repeatable way to do it looks like this.

• Pick a thesis. Decide what view you are expressing. Data center landlords plus power equipment, for example, is a very different portfolio from all chips and servers.
• Choose the names that express it. Use a list like this to fill each role with a handful of holdings rather than one, so a single company stumbling does not break the thesis.
• Set target weights. Assign each name a percentage that sums to 100, so concentration is a choice you made rather than an accident of which stock ran up.
• Compare against the S&P 500. Check how the mix would have tracked the benchmark, because a single-theme tilt like this one is concentrated and should earn its keep versus just holding the index.
• Place the trades and review. Buy to your targets, then revisit periodically as weights drift away from where you set them.

This is exactly what Walnut is built for. You create a thematic basket from the stocks you choose, set a target weight for each, see how the basket would track against the S&P 500, and place trades you approve yourself at your own broker. Walnut frames each holding against the S&P 500 and shows how the mix is concentrated, so the portfolio is a deliberate structure rather than a pile of separate bets. Walnut does not tell you which stocks to buy.

To be clear about method, since framing matters on a page like this: this is not a prediction and not a ranking. We did not forecast which stocks will rise, score them, or order them by expected return, because no one can do that reliably. We featured names on three descriptive criteria instead.

• Widely held. Each is a large, broadly owned company that appears across data center and AI funds and mainstream portfolios, so the page reflects what people actually hold rather than obscure tips.
• Role-representative. Each name was chosen to illustrate a layer of the buildout (REITs, power and cooling, networking and compute, electrical construction) so the list teaches how the theme fits together, not which single stock to chase.
• Liquid and established. We featured large, liquid, well-covered companies so the descriptions can lean on durable business facts rather than hype.

The result is a map of the data center buildout and how to think about it, not a buy list. Treat every name as a starting point for your own research. Facts about companies change; verify current details before you act.

The honest answer to “what are the best data center stocks” is that there is no single list, because the right holdings depend on your goals and no one can predict prices. What anchors the theme is a spread across its layers: REITs that own the buildings like Digital Realty and Equinix; power and cooling like Vertiv, Eaton, and GE Vernova; networking and compute like NVIDIA, Arista, and Super Micro; and the electrical construction behind it all like Quanta. The useful move is to treat a list like this as research and build a diversified, weighted portfolio from it rather than buying a single name. Walnut helps you turn that into a thematic basket you control. It is not an investment adviser, and nothing here is a recommendation.