Screening Filters
Market Cap ≥ $5,000,000,000 (Large-cap focus)
- Purpose: Target established, sizable companies.
- Rationale:
- Many core data center players are either large tech companies (cloud infrastructure) or sizable REITs (data center real estate).
- A $5B+ market cap bias focuses on industry leaders and more mature operators that are actually running or leasing large-scale data centers, rather than very small niche vendors or speculative plays.
Themes: REITs, Technology, Cloud Computing
- Purpose: Directly connect to business models most closely tied to data centers.
- Rationale:
- REITs: A big portion of “pure-play” data center exposure comes from specialized REITs that own and operate data center facilities (e.g., colocation providers, hyperscale facilities). Including REITs is critical, because many classic data center landlords are structured this way.
- Technology: Major technology companies build and run their own data centers to provide services like SaaS, IaaS, and PaaS. Including “Technology” captures infrastructure providers, networking, hardware, and software firms that are deeply integrated with data center operations.
- Cloud Computing: Hyperscale cloud providers (and key ecosystem players) are among the largest data center users and operators in the world. Screening for this theme pulls in companies whose business models are directly reliant on large, distributed data center infrastructure.
Region: United States
- Purpose: Limit results to U.S.-listed or U.S.-based companies.
- Rationale:
- The U.S. hosts a large share of the global data center and cloud infrastructure market, including most of the hyperscalers and major data center REITs.
- Regional focus simplifies comparison (similar regulatory, accounting, and market structures) and aligns with many investors’ preference for U.S. exposure.
Operating Margin ≥ 10%
- Purpose: Ensure operational efficiency and basic profitability.
- Rationale:
- Data centers are capital-intensive; low-margin operators can be more vulnerable to cost spikes (power, cooling, capex).
- A 10%+ operating margin helps screen for companies that manage scale and cost structure effectively, which is important for sustainable data center businesses and cloud operators.
Quarterly Revenue YoY Growth ≥ 5%
- Purpose: Focus on companies with positive, ongoing top-line growth.
- Rationale:
- Demand for data centers and cloud services is generally growing; you’d expect relevant players to show at least modest revenue growth.
- A 5%+ YoY growth threshold filters out stagnating or shrinking businesses and emphasizes companies benefitting from increasing data usage, AI workloads, and cloud migration.
Analyst Consensus: Strong Buy or Moderate Buy
- Purpose: Incorporate market/analyst sentiment into the screen.
- Rationale:
- Data center and cloud names can be cyclical and sensitive to capex cycles; analyst ratings provide an additional, independent check that fundamentals and outlook are viewed positively.
- Filtering for Strong/Moderate Buy tilts the list toward companies that professionals currently see as relatively attractive within the data center and cloud ecosystem.
Why Results Match Your “Data Center Companies” Request
- The REITs + Cloud Computing + Technology theme combination targets the two main types of data center exposure:
- Owners/operators of physical data center facilities (often REITs), and
- Cloud and tech infrastructure companies that run or depend heavily on large-scale data centers.
- The U.S. focus aligns with one of the world’s largest and most developed data center markets.
- The profitability, growth, and positive analyst view filters refine the universe to financially solid, growing names that are benefiting from ongoing data center and cloud demand, rather than distressed or marginal players.
Overall, the filters are designed not just to find any company tangentially related to data centers, but to highlight larger, more established U.S. data center and cloud operators with healthy fundamentals and supportive analyst sentiment.
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.