Equinix Q2 FY 2026: Enterprise AI Fuels the Next Phase of Data Center Growth

Equinix Q2 FY 2026: Enterprise AI Fuels the Next Phase of Data Center Growth

Analyst(s): Futurum Research
Publication Date: August 3, 2026

Equinix Q2 FY 2026 earnings reflect accelerating demand for interconnected data center infrastructure as enterprises modernize for AI, cloud, and networking workloads. The company raised its FY 2026 guidance and long-term outlook while expanding capital investment to address demand in its largest global metros.

What Is Covered in This Article:

  • Equinix’s Q2 FY 2026 results
  • AI inference demand expands pipeline
  • Interconnection gains support enterprise AI
  • Capacity buildout targets top metros
  • Guidance and Final Thoughts

The News: Equinix (NASDAQ: EQIX) reported Q2 FY 2026 revenue of $2.625 billion, up 16.4% year-on-year (YoY), above Wall Street consensus of $2.59 billion. Recurring revenue grew by 10.9% YoY to $2.377 billion, while non-recurring revenue increased to $248 million from $113 million, primarily reflecting approximately $120 million of fees from the Hampton xScale project. Within recurring revenue, colocation revenue was $1.772 billion, up 11.8% YoY, while interconnection revenue was $453 million, up 11.3% YoY. Managed infrastructure revenue was $112 million, down 4.3% YoY, and other recurring revenue was $40 million, up 17.6% YoY. Adjusted EBITDA was $1.396 billion, up 24% YoY, with an adjusted EBITDA margin of 53% (Q2 FY 2025: 50%). Adjusted funds from operations (AFFO) was $1.168 billion, up 20% YoY, and AFFO per share was $11.78, up 19% YoY.

“We delivered an exceptionally strong Q2. Monthly recurring revenue grew double digits for the third straight quarter, new interconnections on our platform hit a record level, and disciplined execution drove robust profit growth,” said Adaire Fox-Martin, CEO and President, Equinix. “Our revised 2026 guidance and long-term financial outlook reflect momentum across the business. Customer demand is broad-based and growing, and Equinix is uniquely positioned to serve the networking, cloud and AI infrastructure needs of enterprises around the world.”

Equinix Q2 FY 2026: Enterprise AI Fuels the Next Phase of Data Center Growth

Analyst Take: Equinix’s Q2 FY 2026 results show a business benefiting from enterprise infrastructure modernization, AI inference demand, and constrained capacity in core metros. The stronger bookings, record interconnection adds, and increased presales point to demand that extends beyond short-cycle colocation needs. AI is acting as an accelerator, but the company’s positioning depends on neutral connectivity, ecosystem density, and sovereign infrastructure rather than raw compute alone. The higher capital plan creates execution risk, especially around power, construction capacity, and financing, but Equinix has tied most of the spending to markets where it already operates. The strategic signal is clear: Equinix is moving faster to secure share in enterprise AI infrastructure before capacity scarcity resets customer buying patterns.

Enterprise AI Demand Moves Toward Distributed Infrastructure

Equinix’s demand profile is shifting as enterprise AI workloads move beyond experimentation and into distributed production needs. The company identified four AI use cases in its customer base: private AI stacks using open models, sovereign AI deployments, batch workloads for training and inferencing, and latency-sensitive inference in metro locations. These workloads favor dense interconnection, access to cloud and model ecosystems, and proximity to enterprise data. Eight of the top 10 model providers and eight of the top 10 neoclouds run key networking workloads on Equinix today, which gives the platform a demand aggregation role. The company also cited partnerships with Cisco, NVIDIA, and Presidio as part of its AI factory approach for enterprises that need standardized infrastructure and testing environments. Equinix’s AI opportunity is strongest where enterprises need controlled, connected infrastructure rather than single-site compute scale.

Interconnection Growth Reinforces the Platform Model

The record addition of 9,700 net interconnections in Q2 FY 2026 is strategically important because it shows rising demand for connected infrastructure across AI, cloud, and enterprise networks. Interconnection revenue grew to $453 million, up 11% YoY, and remains a core differentiator for Equinix against capacity-only data center providers. Fabric Geo Zones adds a sovereignty angle by allowing enterprises to control data traffic at the network level, with around 80 enterprises in preview. Equinix Fabric Cloud Router also showed traction, with bookings up 170% YoY, including demand from non-colocation customers. These metrics suggest the platform can monetize both physical deployments and software-defined connectivity. Interconnection is becoming a pricing and retention engine as workloads spread across clouds, models, and regulatory domains.

Capacity Expansion Becomes the Main Execution Test

Equinix is increasing investment to meet demand, but the scale of the capital plan makes execution the central market question. The company had 52 major projects underway across 33 markets and added nine new projects since April. More than 80% of planned capital expansion through FY 2029 will target its top 25 global metros, where Equinix has established customer relationships, utility access, and operating knowledge. The company controls 3 gigawatts of land, with about 700 megawatts currently under construction, while incremental capital through the planning period is expected to use about 0.3 gigawatts of power. Equinix also expects about 2 gigawatts of developable capacity to remain available by the end of the planning period. The strategy reduces speculative risk, but delivery speed, power access, and construction discipline will decide whether the higher growth outlook converts into durable returns.

Guidance and Final Thoughts

For Q3 FY 2026, Equinix guided revenue to $2.525 billion to $2.575 billion (estimate $2.58 billion), representing 9% to 11% reported growth. The sequential decline from Q2 FY 2026 largely reflects the absence of approximately $120 million in non-recurring fees associated with the Hampton xScale project. Adjusted EBITDA is expected to range from $1.275 billion to $1.315 billion, with an adjusted EBITDA margin of approximately 51%. For FY 2026, the company guided revenue to $10.205 billion to $10.285 billion, up about 11% to 12%, with adjusted EBITDA of $5.210 billion to $5.270 billion and an adjusted EBITDA margin of about 51%. FY 2026 AFFO is expected to range from $4.240 billion to $4.300 billion, with AFFO per share of $42.69 to $43.29. The long-term outlook now calls for annual revenue growth of 10% to 13% through FY 2029, adjusted EBITDA margin of 53% or higher in FY 2029, and AFFO per share growth of 9% to 12% annually. Annual capital expenditures are expected to rise to $5 billion to $7 billion from FY 2027 through FY 2029, excluding xScale, real estate acquisitions, and future M&A activity.

Equinix is increasingly positioned as the connective infrastructure layer for enterprise AI rather than simply a provider of colocation space. As AI deployments become more distributed across private environments, hyperscalers, and sovereign infrastructure, proximity, interconnection, and ecosystem density are becoming strategic differentiators alongside power and capacity. The company’s expanded investment program reflects confidence that demand will remain durable, but the next phase of growth will depend on executing new capacity on schedule while maintaining pricing discipline in an increasingly competitive AI infrastructure market.

See the full press release on Equinix’s Q2 FY 2026 financial results on the company website.


Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Read the full Futurum Group Disclosure.

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Author Information

Futurum Research
Futurum Research

Futurum Research delivers forward-thinking insights on technology, business, and innovation. Content published under the Futurum Research byline incorporates both human and AI-generated information, always with editorial oversight and review from the expert Futurum Research team to ensure quality, accuracy, and relevance. All content, analysis, and opinion are based on sources and information deemed to be reliable at the time of publication.

The Futurum Group is not liable for any errors, omissions, biases, or inadequacies in the information contained herein or for any interpretations thereof. The reader is solely responsible for any decisions made or actions taken based on the information presented in this publication.

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