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Before I turn the call over to Andy, let me offer a few key takeaways from our third quarter results. First, we posted $1.89 in core FFO per share, a quarterly record and 13% higher than the third quarter of last year. Constant currency core FFO per share was $1.85, 11% higher than last year. Other profitability metrics surged as well, with AFFO per share and adjusted EBITDA up 16% and 14% year over year, respectively. These strong earnings results were comfortably ahead of expectations resulting in our third quarterly guidance increase so far this year. Second, we have strong visibility to continued growth given our near-record backlog and crisp execution.

Our backlog grew to $852 million with the lion's share slated to commence through the end of next year while organic growth continues to accelerate, as demonstrated by 8% same capital cash NOI growth year over year. Third, we continue to execute across the full product spectrum and our footprint, with over $200 million of bookings at 100% share. Near-record zero to one megawatt plus interconnection bookings in the quarter with a leading power bank of five gigawatts of IT load to support our customers and Digital Realty Trust, Inc.'s future growth. With that, I'd like to turn the call over to our President and CEO, Andy Power.

Andy Power: Thanks, Jordan, and thanks to everyone for joining our call. As digital transformation, cloud, and AI continue to grow, our ability to deliver scalable, connected infrastructure across key metros worldwide is more critical than ever. PlatformDigital's global reach and full spectrum product offering are key differentiators enabling us to support the evolving needs of cloud providers, enterprises, and service partners around the world. Over the past two years, the data center industry has experienced unprecedented demand fueled by the digitization of enterprise business processes, the expansion of cloud, and the ongoing proliferation of AI, resulting in complex hybrid IT architectures.

Demand for scalable, connected infrastructure remains robust across a wide range of customer segments, from global cloud platforms to regional service providers and multinational enterprises. Meeting this demand within our markets, however, is becoming increasingly challenging. Power availability, permitting challenges, and infrastructure constraints are making it harder to bring new supply online at the pace our customers require. Digital Realty Trust, Inc.'s established presence in the world's leading metros, deep relationships with utilities and local governments, and proven development track record give us a distinct advantage in navigating these challenges and delivering capacity efficiently and reliably where and when our customers need it.

In an attempt to help frame how we see the abundance of data center infrastructure announcements we are all seeing in the market, I want to make a few comments. It is clear that the world is engaged in a full-scale technology race with a handful of key players aiming to build the most advanced AI models or perhaps even AGI. Three years post-launch, ChatGPT holds the title of the fastest-growing app and is already among the most highly used applications in the world, with more than 800 million weekly users. Several others, Meta, Google, Baidu, and xAI, have also developed AI with meaningful scale.

With each passing week, we continue to see massive investment announcements and partnerships aimed at scaling the infrastructure necessary to support the world's most powerful AI training models. Given the scale of these announcements, the ongoing development and proliferation of AI offerings, the opportunity still appears to be in the very early innings. The preponderance of gigawatt campus announcements to date have generally fallen outside of the major metro markets in Digital Realty Trust, Inc.'s strategic footprint, as model builders and their providers have urgently sought locations that offer readily available and abundant power as power is the limiting factor for scaling AI. The anticipated pace and scale of these developments are largely unprecedented.

Given our experience and track record in the space, we are intrigued as several new market entrants have launched the development of massive and complex remote campuses, often to support a single use case, workload, or customer. These facilities hold the promises of developing life-changing technologies, and we are optimistic about their prospects. Training workloads geared toward developing the AI models can be described as latency tolerance, as the development of the AI takes precedent over the utilization of the technology, at least for now.

Based on conversations that we are having with our customers and industry participants, as well as what we are seeing in our broad portfolio, we are increasingly confident that connectivity will become increasingly important over time. As model success drives implementation and usage, requiring lower latency, inference-oriented deployments. Digital Realty Trust, Inc. has landed a meaningful share of AI-oriented deployments over the last two years. Since mid-2023, AI has averaged more than 50% of our quarterly bookings, and we continue to expect that the five gigawatts of IT load we have in our power bank will be significantly weighted toward AI workloads over the next several years.

Critically, our data center capacity is situated in and around the world's most highly connected cloud zonal markets with the highest concentration of population and GDP, and we currently maintain five gigawatts of large contiguous capacity blocks situated across 40 of our strategic metros across the globe. It's harder to build in these locations for a growing list of reasons, and we expect this capacity will continue to be highly sought after as new applications and use cases continue to evolve. Our conviction in our portfolio and in our market continue to be evidenced through our daily engagement with our 5,000 plus customers.