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Source document· February 20, 2026

United States Colocation Data Center Portfolio Report 2026: Detailed Analysis of 1,135 Existing Colocation Data Centers, 491 Upcoming Colocation Data Centers, and 312 Major Operators/investors

View original at finance.yahoo.com
United States Colocation Data Center Portfolio Report 2026: Detailed Analysis of 1,135 Existing Colocation Data Centers, 491 Upcoming Colocation Data Centers, and 312 Major Operators/investors Company Logo Explore the comprehensive Excel database covering the USA's dynamic data center market, featuring in-depth analysi…
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  • Over 670+ upcoming colocation and hyperscale self-built data center projects in the United States are expected to add over 129+ GW of capacity

    80% confidence
  • Virginia, Texas, Arizona, New Mexico, Illinois, Nevada, Georgia and Ohio together account for over 70% of the upcoming capacity in the market

    80% confidence
  • Crypto miners are entering the market by developing HPC data centers to capture market share

    80% confidence
  • Amazon Web Services, Microsoft, and Google are expanding their data center campuses across the United States to support the rising demand for AI workloads

    80% confidence
  • Aligned Data Centers, COPT Data Center Solutions, CyrusOne, Digital Realty, Equinix, NTT, QTS Realty Trust, and Switch rank among the leading data center operators by capacity across the United States

    80% confidence
  • Colorado, Indiana, Louisiana, Oregon, North Carolina, Pennsylvania, Missouri, and Minnesota are attracting investments exceeding a billion dollars in each of these states

    80% confidence
  • Several facilities are still in the announced or planned stages awaiting grid connections

    80% confidence
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Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
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