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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 Xtend AI Robotics's Debt-to-EBITDA or its related term are showing as below:
XTND's Debt-to-EBITDA is not ranked *
in the Hardware industry.
Industry Median: 1.72 * Ranked among companies with meaningful Debt-to-EBITDA only.
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.
Xtend AI Robotics Debt-to-EBITDA Related Terms
Xtend AI Robotics Debt-to-EBITDA Historical Data
* Premium members only.
The historical data trend for Xtend AI Robotics'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.
Xtend AI Robotics Debt-to-EBITDA Chart
Xtend AI Robotics Annual Data
Trend
Dec24
Dec25
Debt-to-EBITDA
-0.20
-0.17
Xtend AI Robotics Semi-Annual Data
Dec24
Dec25
Debt-to-EBITDA
-0.20
-0.17
XTND vs : Debt-to-EBITDA Comparison
For the Computer Hardware subindustry, Xtend AI Robotics'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.
Xtend AI Robotics Debt-to-EBITDA vs Hardware Industry
For the Hardware industry and Technology sector, Xtend AI Robotics's Debt-to-EBITDA distribution charts can be found below:
* The bar in red indicates where Xtend AI Robotics's Debt-to-EBITDA falls into.
* 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 one times the quarterly (Dec. 2025) EBITDA data.
Xtend AI Robotics (XTND) has a Debt-to-EBITDA of -0.17 as of Dec. 2025. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on Xtend AI Robotics.
Is Xtend AI Robotics' Debt-to-EBITDA too high?
Xtend AI Robotics' current Debt-to-EBITDA is -0.17. Overall, Xtend AI Robotics has a GF Score™ of 8/100, reflecting its overall financial health beyond just this single metric.
How does Xtend AI Robotics' Debt-to-EBITDA compare to ?
Xtend AI Robotics' Debt-to-EBITDA of -0.17 can be compared against companies in the Hardware industry. The industry median Debt-to-EBITDA is 1.72. 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 Hardware company?
The median Debt-to-EBITDA among Hardware companies is 1.72, based on 1,798 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 Xtend AI Robotics. For the Hardware industry, the median Debt-to-EBITDA is 1.72 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Xtend AI Robotics's current Debt-to-EBITDA is -0.17. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Xtend AI Robotics stock overvalued right now?
Xtend AI Robotics (XTND) has a current Debt-to-EBITDA of -0.17. The current Debt-to-EBITDA is -0.17. Xtend AI Robotics' 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 Xtend AI Robotics (XTND), the current Debt-to-EBITDA is -0.17 as of Dec. 2025. 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.
Xtend AI Robotics Inc develops software systems and artificial intelligence-powered robotics solutions for use in complex operational environments. Its offerings include software platforms and robotic hardware designed to support autonomous functions. The company's products include robots, drones, and robotic subsystems used in defense, law enforcement, and private security applications. Its architecture platform facilitates scalability across partners and third-party applications. The company serves a diverse set of customers, including homeland security, military, intelligence, and critical-infrastructure protection entities. It generates substantially all of the revenue through firm fixed-price contracts, and other customer arrangements.
8GF Score
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