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QumulusAIQMLS -5.81%6 EV-to-EBIT is -4.02 as of Sep. 02, 2026. GuruFocus rates QMLS with a GF Score™ of 6/100. The stock has 1 warning sign investors should review. Among 1,771 Software companies, QumulusAI ranks worse than 56465.22% on this metric.
This is a more accurate valuation of companies' operation because it considers the debt and cash on its balance sheet, and non-operating items such as interest payment, tax, and one-time items are not included in the Operating Income.
QumulusAI's Enterprise Value for the quarter that ended in Jun. 2026 was $0.00 Mil.
QumulusAI's EBIT for the trailing twelve months (TTM) ended in Jun. 2026 adds up the quarterly data reported by the company within the most recent 12 months, which was $-84.41 Mil.
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD. * For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
QumulusAI EV-to-EBIT Related Terms
QumulusAI EV-to-EBIT Historical Data
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The historical data trend for QumulusAI's EV-to-EBIT can be seen below:
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD. * For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
For the Software - Infrastructure subindustry, QumulusAI's EV-to-EBIT, along with its competitors' market caps and EV-to-EBIT data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
QumulusAI EV-to-EBIT vs Software Industry
For the Software industry and Technology sector, QumulusAI's EV-to-EBIT distribution charts can be found below:
* The bar in red indicates where QumulusAI's EV-to-EBIT falls into.
QumulusAI's current Enterprise Value is $339.56 Mil.
QumulusAI's EBIT for the trailing twelve months (TTM) ended in Jun. 2026 adds up the quarterly data reported by the company within the most recent 12 months, which was $-84.41 Mil.
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD. * For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
QumulusAI (QMLS) has a EV-to-EBIT of -4.02 as of Sep. 02, 2026. EV to EBIT ratio is the inverse of Joel Greenblatt's earnings yield definition. View historical data on QumulusAI and its competitors. According to the industry distribution chart, QumulusAI ranks #999999 out of 1771 companies in the Software industry.
Is QumulusAI's EV-to-EBIT too high?
QumulusAI's current EV-to-EBIT is -4.02. Based on the distribution chart, QumulusAI ranks #999999 out of 1771 companies in the Software industry, which is in the bottom quartile relative to peers. Overall, QumulusAI has a GF Score™ of 6/100, reflecting its overall financial health beyond just this single metric.
How does QumulusAI's EV-to-EBIT compare to ZSQR and TP?
According to the Software industry distribution chart, QumulusAI ranks #999999 out of 1771 companies for EV-to-EBIT. This places QumulusAI in the lower half of its industry. The industry median EV-to-EBIT is 13.90. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good EV-to-EBIT for a Software company?
The median EV-to-EBIT among Software companies is 13.90, based on 1,771 companies in the industry. Companies in the top quartile (top 25%) have a EV-to-EBIT significantly above this median, while those in the bottom quartile fall well below. However, EV-to-EBIT should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high EV-to-EBIT mean?
A high EV-to-EBIT can signal that a stock is expensive relative to its fundamentals. EV to EBIT ratio is the inverse of Joel Greenblatt's earnings yield definition. View historical data on QumulusAI and its competitors. For the Software industry, the median EV-to-EBIT is 13.90 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. QumulusAI's current EV-to-EBIT is -4.02. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is QumulusAI stock overvalued right now?
QumulusAI (QMLS) has a current EV-to-EBIT of -4.02. The current EV-to-EBIT is -4.02. QumulusAI's overall GF Score™ is 6/100 with 1 warning sign to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is EV-to-EBIT calculated?
EV-to-EBIT is calculated from a company's financial statements. For QumulusAI (QMLS), the current EV-to-EBIT is -4.02 as of Sep. 02, 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.
QumulusAI Inc is a cloud infrastructure company engaged in the rapid deployment of graphics processing unit (GPU)-powered solutions for artificial intelligence (AI) applications, serving a critical market that is often overlooked by large-scale cloud providers (hyperscalers), which operate massive, standardized computing infrastructures serving the immense enterprises. The platform delivers flexible, competitively priced, and customizable solutions for underserved small- and mid-market customers, including machine learning teams, AI infrastructure startups, and research institutions, and also supports the scale and complexity requirements of large enterprises. Its products are B300 SXM6, B200 SXM, RTX Pro 6000, H200 SXM, and Others. Its solutions are Enterprise, Research, and AI Startups.
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