AI Boom Fuels Infrastructure Spending
Iron Mountain AI data center revenue is projected to rise above Wall Street expectations in fiscal 2026, driven by accelerating enterprise investment in land leases and infrastructure for artificial intelligence workloads. The surge in generative AI adoption has prompted companies to expand data center capacity to support the training and deployment of complex models.
Iron Mountain, originally founded as a physical records management firm, has transformed its business to handle large-scale digital information storage and infrastructure services for thousands of enterprises.
Revenue Outlook Tops Estimates
The company forecast annual revenue between $7.63 billion and $7.78 billion for fiscal 2026, surpassing analyst estimates of $7.60 billion, according to LSEG data. It also expects adjusted funds from operations in the range of $5.69 to $5.79 per share, roughly in line with projections of $5.73 per share.
For the first quarter, Iron Mountain anticipates revenue of approximately $1.86 billion, ahead of estimates of $1.80 billion.
Strong Fourth-Quarter Performance
Fourth-quarter revenue reached $1.84 billion, exceeding Wall Street expectations of $1.80 billion. The performance underscores how the expansion of AI infrastructure continues to benefit companies positioned to build and manage large-scale data center environments.
As AI adoption scales globally, Iron Mountain AI data center revenue growth highlights the broader infrastructure boom supporting next-generation computing demands.