Ticker Nerd's systematic factor model, run across ~4,600 US stocks, ranks it 0 of 100 as at 1 Aug 2026 — in the weakest quartile.
Consensus tells you what everyone already believes. The model scores QumulusAI, Inc. on its factor families — the same systematic rank behind the Ticker Nerd portfolio.
Percentile across ~4,600 US stocks on Ticker Nerd’s systematic factor model. Higher is better. How the model is built and tested
Size (66): Smaller than most of the companies we track.
Momentum (0): The shares have been drifting down relative to others.
The rank is the raw material. Whether the rules would actually own QumulusAI, Inc. — and when they’d sell — is the membership.
The bullish and bearish analyst opinions on QMLS, reported as data — targets and ratings, the market's view beside the model's.
We don’t hold enough price history for this company yet.
Price targets and ratings are third-party analyst estimates, reported here as data. They are not Ticker Nerd forecasts, and they are frequently wrong.
Not the forecast itself — the direction analysts are revising it. Revision direction is one of the model's factor families.
A margin means little on its own. Each bar marks where the figure sits across the whole US universe we score.
Cheaper than 84% of US stocks
Cheaper than 10% of US stocks
Cheaper than 7% of US stocks
Cheaper than 92% of US stocks
Higher than 92% of US stocks
Higher than 48% of US stocks
Higher than 12% of US stocks
Higher than 95% of US stocks
Higher than 2% of US stocks
Higher than 27% of US stocks
Bars mark the percentile across the ~4,600 US stocks Ticker Nerd covers, among those reporting the figure.
The nearest names by industry and size, scored by the same model — like for like.
Computed off the Friday close and sent before the US open.
Market Radar reports the week’s largest rank changes across roughly 4,600 US stocks, the factor behind each one, and where the market went. QMLS appears on the weeks it earns a place.
QumulusAI (Nasdaq: QMLS) announced it will ring the opening bell at the Nasdaq MarketSite in New York's Times Square on July 29, with a live broadcast available on nasdaq.com.
Why it matters — Ringing the Nasdaq opening bell is a ceremonial milestone that raises public visibility for QumulusAI as a publicly listed company.
QumulusAI announced a signed three-year agreement valued at more than $71 million to supply NVIDIA Blackwell B300 and B200 capacity to an AI inference platform provider. The deal includes renewal options and ranks among the company's largest customer commitments announced to date.
Why it matters — A QMLS watcher would care because this multi-year, multi-million-dollar customer commitment signals growing commercial traction and demand for the company's neocloud infrastructure offerings.
As at 1 Aug 2026, QumulusAI, Inc. ranks 0 out of 100 on Ticker Nerd's systematic factor model — a percentile across roughly 4,600 US stocks, built from its factor families. Its strongest factor family is Size (66 of 100).
No analyst covering QumulusAI, Inc. publishes a 2030 price target — Wall Street targets run 12 to 18 months out. Sites quoting a 2030 price for QMLS are extrapolating price history, which says nothing about the business.
QumulusAI, Inc. is a vertically integrated AI infrastructure company that provides GPU-powered cloud solutions for artificial intelligence workloads.
The most recent item we track (Business Wire, 28 July 2026): "QumulusAI Set to Ring the Nasdaq Opening Bell". QumulusAI (Nasdaq: QMLS) announced it will ring the opening bell at the Nasdaq MarketSite in New York's Times Square on July 29, with a live broadcast available on nasdaq.com.
QumulusAI, Inc. is a vertically integrated AI infrastructure company that provides GPU-powered cloud solutions for artificial intelligence workloads. The firm focuses on delivering a distributed AI cloud, combining high-performance computing clouds with on- and off-grid data centers and integrated power generation to reduce bottlenecks in AI development and deployment. Its platform offers on-demand, bare metal, shared, and dedicated GPU compute tailored to training large-scale models, running production inference, and managing complex AI pipelines for enterprise customers, AI startups, machine learning teams, and research institutions. By using an inference-first, demand-led deployment model across multiple U.S. data center locations, QumulusAI brings compute capacity closer to end users, emphasizing rapid provisioning, cost control, reliability, and operational transparency versus traditional hyperscale cloud providers. Founded in 2019 and headquartered in Atlanta, Georgia, QumulusAI today serves primarily the U.S. market as a specialized AI cloud and GPU-as-a-service provider.
CEO Mr. Michael Maniscalco · 29 employees · United States · https://www.qumulusai.com