QumulusAI to begin trading on Nasdaq under ticker QMLS

1 min read     Updated on 16 Jul 2026, 02:30 AM
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AI Summary

QumulusAI announced that its common stock will begin trading on the Nasdaq Global Market on Thursday, July 16, 2026, under the ticker symbol QMLS via a direct listing. The U.S. Securities and Exchange Commission declared the company's registration statement on Form S-1 effective on July 14, 2026.

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QumulusAI, a neocloud infrastructure provider, will begin trading its common stock on the Nasdaq Global Market on Thursday, July 16, 2026, under the ticker symbol QMLS. The direct listing follows the U.S. Securities and Exchange Commission declaring the company's registration statement on Form S-1 effective on July 14, 2026. This move provides QumulusAI with a platform to scale infrastructure and engage with a broader investor base to address the growing demand for AI computing.

"Listing on the Nasdaq marks a transformative milestone for QumulusAI as we enter our next phase of growth," said Michael Maniscalco, CEO of QumulusAI. He stated that the company's hyperspeed and capital-efficient model is designed to close the gap between AI demand and infrastructure supply.

Listing Details

The commencement of trading on July 16, 2026, is the result of a direct listing process. Chardan Capital Markets LLC is acting as the company's financial advisor for this transaction.

Event Date Details
SEC Effectiveness July 14, 2026 Form S-1 registration statement declared effective
Trading Commencement July 16, 2026 Nasdaq Global Market under ticker QMLS

About QumulusAI

QumulusAI operates as a distributed AI cloud platform, delivering accelerated access to high-performance GPU compute. The company utilizes an inference-first, demand-led deployment model across a network of data center sites. This approach brings compute closer to customer demand, enabling AI teams and enterprises to scale production AI workloads with speed and flexibility.

How will QumulusAI's direct listing impact its ability to raise additional capital for future expansion compared to a traditional IPO?

What are the potential risks and rewards of QumulusAI's inference-first, demand-led deployment model in the competitive AI infrastructure market?

How might QumulusAI's listing on Nasdaq influence the valuation and investment trends of other neocloud infrastructure providers?

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QumulusAI targets $300M forward ARR in FY26

2 min read     Updated on 15 Jul 2026, 04:49 AM
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Reviewed by
Radhika SScanX News Team
AI Summary

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.

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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?

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