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 AnTix Holdings's Debt-to-EBITDA or its related term are showing as below:
IMTH's Debt-to-EBITDA is not ranked *
in the Software industry.
Industry Median: 1.095 * 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.
AnTix Holdings Debt-to-EBITDA Related Terms
AnTix Holdings Debt-to-EBITDA Historical Data
* Premium members only.
The historical data trend for AnTix Holdings'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.
IMTH vs GROO, ATDS, MSFT: Debt-to-EBITDA Comparison
For the Software - Infrastructure subindustry, AnTix Holdings'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.
AnTix Holdings Debt-to-EBITDA vs Software Industry
For the Software industry and Technology sector, AnTix Holdings's Debt-to-EBITDA distribution charts can be found below:
* The bar in red indicates where AnTix Holdings'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 four times the quarterly (Jun. 2025) EBITDA data.
AnTix Holdings (IMTH) has a Debt-to-EBITDA of 40.56 as of Jun. 2025. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on AnTix Holdings. According to the industry distribution chart, AnTix Holdings ranks #999999 out of 1706 companies in the Software industry.
Is AnTix Holdings' Debt-to-EBITDA too high?
AnTix Holdings' current Debt-to-EBITDA is 40.56. The Software industry median Debt-to-EBITDA is 1.10. AnTix Holdings' value of 40.56 is 3604.1% above this industry median. Based on the distribution chart, AnTix Holdings ranks #999999 out of 1706 companies in the Software industry, which is in the bottom quartile relative to peers.
How does AnTix Holdings' Debt-to-EBITDA compare to GROO and ATDS?
According to the Software industry distribution chart, AnTix Holdings ranks #999999 out of 1706 companies for Debt-to-EBITDA. This places AnTix Holdings in the lower half of its industry. The industry median Debt-to-EBITDA is 1.10. AnTix Holdings' value of 40.56 is 3604.1% above this benchmark. 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 1.10, based on 1,706 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. AnTix Holdings's current Debt-to-EBITDA of 40.56 is 3604.1% above the industry median. 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 AnTix Holdings. For the Software industry, the median Debt-to-EBITDA is 1.10 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. AnTix Holdings's current Debt-to-EBITDA is 40.56. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is AnTix Holdings stock overvalued right now?
AnTix Holdings (IMTH) has a current Debt-to-EBITDA of 40.56. The current Debt-to-EBITDA is 40.56 and 3604.1% above the Software industry median of 1.10. 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 AnTix Holdings (IMTH), the current Debt-to-EBITDA is 40.56 as of Jun. 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.
AnTix Holdings Inc is a technology-focused ticketing services company that leverages machine learning models for predictive analytics and dynamic pricing to transform how live events, venues, and organizers manage ticketing, pricing, and customer engagement. By leveraging machine learning and predictive analytics, the platform optimizes ticket sales through dynamic price adjustments, fraud prevention, and maximized seat utilization. Unlike traditional ticketing systems, it combines automation with real-time insights to deliver a seamless experience for both event organizers and attendees.
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