QMLS (QumulusAI) Debt-to-EBITDA : -0.50 (As of Mar. 2026)

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QMLS QumulusAI Inc QMLS
8 GF Score
Price $13.98
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What is QumulusAI Debt-to-EBITDA?

QumulusAI QMLS -33.36% 8 Debt-to-EBITDA is -0.50 as of Mar. 2026. GuruFocus rates QMLS with a GF Score™ of 8/100.

Debt-to-EBITDA measures a company's ability to pay off its debt.

QumulusAI's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2026 was $5.88 Mil. QumulusAI's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2026 was $86.24 Mil. QumulusAI's annualized EBITDA for the quarter that ended in Mar. 2026 was $-185.99 Mil. QumulusAI's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2026 was -0.50.

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt. According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.

The historical rank and industry rank for QumulusAI's Debt-to-EBITDA or its related term are showing as below:

QMLS's Debt-to-EBITDA is not ranked *
in the Software industry.
Industry Median: 1.08
* Ranked among companies with meaningful Debt-to-EBITDA only.

QumulusAI  (NAS:QMLS) Debt-to-EBITDA Explanation

In the calculation of Debt-to-EBITDA, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by EBITDA. In some calculations, Total Liabilities is used to for calculation.


Be Aware

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt.

According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.


QumulusAI Debt-to-EBITDA Related Terms


QumulusAI Debt-to-EBITDA Historical Data

* Premium members only.

The historical data trend for QumulusAI's Debt-to-EBITDA 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.

QumulusAI Debt-to-EBITDA Chart

QumulusAI Annual Data
Trend Dec23 Dec24 Dec25
Debt-to-EBITDA
-3.37 -2.09 6.05

QumulusAI Quarterly Data
Dec23 Sep24 Dec24 Mar25 Jun25 Sep25 Dec25 Mar26
Debt-to-EBITDA Get a 7-Day Free Trial 0.00 -5.06 0.54 -2.44 -0.50

QMLS vs : Debt-to-EBITDA Comparison

For the Software - Infrastructure subindustry, QumulusAI's Debt-to-EBITDA, along with its competitors' market caps and Debt-to-EBITDA 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 Debt-to-EBITDA vs Software Industry

For the Software industry and Technology sector, QumulusAI's Debt-to-EBITDA distribution charts can be found below:

* The bar in red indicates where QumulusAI's Debt-to-EBITDA falls into.


QMLS
8GF Score
QumulusAI Inc QMLS
Debt-to-EBITDA is just one metric. See GF Score™, valuation, warning signs, and more.
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QumulusAI Debt-to-EBITDA Calculation

Debt-to-EBITDA measures a company's ability to pay off its debt.

QumulusAI's Debt-to-EBITDA for the fiscal year that ended in Dec. 2025 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(7.276 + 12.919) / 3.34
=6.05

QumulusAI's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2026 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(5.878 + 86.244) / -185.988
=-0.50

* 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.

In the calculation of annual Debt-to-EBITDA, the EBITDA of the last fiscal year is used. In calculating the annualized quarterly data, the EBITDA data used here is four times the quarterly (Mar. 2026) EBITDA data.

Frequently Asked Questions Learn more about Debt-to-EBITDA →
What does a Debt-to-EBITDA of -0.50 mean?
QumulusAI (QMLS) has a Debt-to-EBITDA of -0.50 as of Mar. 2026. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on QumulusAI.
Is QumulusAI's Debt-to-EBITDA too high?
QumulusAI's current Debt-to-EBITDA is -0.50. Overall, QumulusAI has a GF Score™ of 8/100, reflecting its overall financial health beyond just this single metric.
How does QumulusAI's Debt-to-EBITDA compare to ?
QumulusAI's Debt-to-EBITDA of -0.50 can be compared against companies in the Software industry. The industry median Debt-to-EBITDA is 1.08. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Debt-to-EBITDA for a Software company?
The median Debt-to-EBITDA among Software companies is 1.08, based on 1,716 companies in the industry. Companies in the top quartile (top 25%) have a Debt-to-EBITDA significantly above this median, while those in the bottom quartile fall well below. However, Debt-to-EBITDA 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 Debt-to-EBITDA mean?
A high Debt-to-EBITDA can signal that a stock is expensive relative to its fundamentals. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on QumulusAI. For the Software industry, the median Debt-to-EBITDA is 1.08 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. QumulusAI's current Debt-to-EBITDA is -0.50. 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 Debt-to-EBITDA of -0.50. The current Debt-to-EBITDA is -0.50. QumulusAI's overall GF Score™ is 8/100. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Debt-to-EBITDA calculated?
Debt-to-EBITDA is calculated from a company's financial statements. For QumulusAI (QMLS), the current Debt-to-EBITDA is -0.50 as of Mar. 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 Business Description

Comparable Companies
Address 1130 Powers Ferry Place SE, Marietta, GA, USA, 30067
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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Debt-to-EBITDA is just one metric. See GF Value™, 30-year financials, guru trades, warning signs, and more.

$13.98
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