QumulusAI targets $300M forward ARR in FY26
QumulusAI issued fiscal year 2026 guidance targeting $300 million in forward ARR, a 30x increase over fiscal 2025, backed by 18 MW of data center capacity. The company projects a line of sight to 2.5 GW of capacity by the end of fiscal year 2027.

*this image is generated using AI for illustrative purposes only.
QumulusAI has issued fiscal year 2026 guidance targeting $300 million in forward annualized recurring revenue (ARR), representing approximately 30x growth over fiscal 2025. This revenue projection is backed by 18 megawatts (MW) of data center capacity expected by December 31, 2026, with a line of sight to 2.5 gigawatts (GW) by the end of fiscal year 2027. The company, a neocloud infrastructure provider for the artificial intelligence computing era, detailed these operational metrics in an investor outlook update.
The forward ARR guidance of $300 million is expected as of December 31, 2026. This figure comprises executed contract revenue to date, expected renewals, deposit-backed compute capacity reservations, and projected contract signings. In each case, the ARR reflects revenue expected upon the activation of the associated compute capacity.
Capacity and Infrastructure
QumulusAI expects 18 MW of data center capacity as of December 31, 2026. This total includes 8 MW of active high-performance computing (HPC) power and 10 MW of HPC power in development. The capacity is under executed lease or colocation agreements that are operational or undergoing build-out, power activation, or customer deployment.
Growth beyond 2026 is supported by a line of sight to 2.5 GW of capacity by the end of fiscal year 2027. QumulusAI’s national footprint currently includes active sites in Marietta, Georgia; Kansas City, Missouri; Denver, Colorado; and two sites in Philadelphia. An Oklahoma site and additional colocation partners are in development. Through the QAI Moon joint venture and its agreement with Connected Nation Internet Exchange Points, the company sees a path to 125 network-edge sites across its distributed AI-XP footprint.
Executive Commentary
"AI’s biggest barrier isn’t intelligence; it’s the infrastructure to power it. We don’t build the models — we build the infrastructure that powers them," said Michael Maniscalco, CEO of QumulusAI. "Our focus in 2026 is straightforward: bring GPU capacity online in months, not years, and convert it into durable recurring revenue."
QumulusAI houses the latest NVIDIA GPUs, including Blackwell (B300/B200), Hopper (H100/H200) and RTX PRO 6000. These are located in colocation facilities and data centers of less than 50 MW capacity, on a quarterly deployment cadence designed to accelerate time to value for customers.
"We designed this guidance framework to be simple to track," said Scott Krosnowski, CFO of QumulusAI. "Forward ARR and capacity capture both sides of our model: the demand we activate and the infrastructure we deliver it on. We are issuing this as annual guidance, and we expect to update our outlook for 2027 at the end of the year."
Fiscal Year 2026 Guidance
| Metric | FY2026 Guidance |
|---|---|
| Forward Annualized Recurring Revenue (ARR)¹ | $300M (~30x growth in fiscal 2026 over fiscal 2025) |
| Capacity² | 18 MW (line of sight to 2.5 GW by year-end fiscal 2027) |
¹ Forward ARR expected as of December 31, 2026, comprising executed contract revenue to date, expected renewals, deposit-backed compute capacity reservations, and projected contract signings, in each case reflecting ARR expected upon activation of the associated compute capacity.
² Data center capacity under executed lease or colocation agreements, operational or undergoing build-out, power activation, or customer deployment, in each case available for, or expected to become available for, compute deployments as of December 31, 2026.
What are the primary capital requirements to fund the rapid expansion from 18 MW in 2026 to 2.5 GW by the end of fiscal 2027?
How will potential supply chain constraints for NVIDIA Blackwell and Hopper GPUs impact the quarterly deployment cadence necessary to meet the $300 million ARR target?
What specific strategies will QumulusAI employ to secure the power infrastructure needed to support 2.5 GW of capacity, given current grid limitations?
























