iCetana (ASX:ICE) Debt-to-EBITDA : -0.04 (As of Dec. 2025)

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What is iCetana Debt-to-EBITDA?

iCetana ASX:ICE +12.12% Debt-to-EBITDA is -0.04 as of Dec. 2025. The stock has 4 warning signs investors should review. Among 1,722 Software companies, iCetana ranks worse than 58071.95% on this metric.

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

iCetana's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2025 was A$0.15 Mil. iCetana's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2025 was A$0.00 Mil. iCetana's annualized EBITDA for the quarter that ended in Dec. 2025 was A$-4.12 Mil. iCetana's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2025 was -0.04.

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 iCetana's Debt-to-EBITDA or its related term are showing as below:

ASX:ICE' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -0.04   Med: -0.02   Max: 0
Current: -0.04

ASX:ICE's Debt-to-EBITDA is ranked worse than
100% of 1722 companies
in the Software industry
Industry Median: 1.08 vs ASX:ICE: -0.04

iCetana  (ASX:ICE) 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.


iCetana Debt-to-EBITDA Related Terms


iCetana Debt-to-EBITDA Historical Data

* Premium members only.

The historical data trend for iCetana'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.

iCetana Debt-to-EBITDA Chart

iCetana Annual Data
Trend Jun19 Jun20 Jun21 Jun22 Jun23 Jun24 Jun25
Debt-to-EBITDA
Get a 7-Day Free Trial -0.02 -0.02 -0.03 -0.04 -0.02

iCetana Semi-Annual Data
Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 Dec23 Jun24 Dec24 Jun25 Dec25
Debt-to-EBITDA Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -0.00 -0.03 -0.22 -0.02 -0.04

ASX:ICE vs UBER, SHOP, CRM: Debt-to-EBITDA Comparison

For the Software - Application subindustry, iCetana'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.


iCetana Debt-to-EBITDA vs Software Industry

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

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



iCetana Debt-to-EBITDA Calculation

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

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

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(0.076 + 0) / -3.334
=-0.02

iCetana's annualized Debt-to-EBITDA for the quarter 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
=(0.152 + 0) / -4.124
=-0.04

* 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 two times the quarterly (Dec. 2025) EBITDA data.

Frequently Asked Questions Learn more about Debt-to-EBITDA →
What does a Debt-to-EBITDA of -0.04 mean?
iCetana (ASX:ICE) has a Debt-to-EBITDA of -0.04 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 iCetana. According to the industry distribution chart, iCetana ranks #999999 out of 1722 companies in the Software industry.
Is iCetana's Debt-to-EBITDA too high?
iCetana's current Debt-to-EBITDA is -0.04. Based on the distribution chart, iCetana ranks #999999 out of 1722 companies in the Software industry, which is in the bottom quartile relative to peers.
How does iCetana's Debt-to-EBITDA compare to UBER and SHOP?
According to the Software industry distribution chart, iCetana ranks #999999 out of 1722 companies for Debt-to-EBITDA. This places iCetana in the lower half of its 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 1,722 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 iCetana. 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. iCetana's current Debt-to-EBITDA is -0.04. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is iCetana stock overvalued right now?
Based on GuruFocus' analysis, iCetana (ASX:ICE) is currently considered Significantly Overvalued. The stock's GF Value™ is A$0.01, compared to a current price of A$0.04 — trading 270% above its estimated fair value. The current Debt-to-EBITDA is -0.04. 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 iCetana (ASX:ICE), the current Debt-to-EBITDA is -0.04 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.

iCetana Business Description

Address 152 St Georges Terrace, Level 32, Perth, WA, AUS, 6000
iCetana Ltd develops and sells AI-assisted video surveillance software that uses machine learning technology to provide automatic real-time anomalous event detection. Its products include Safety and Security, Analytics, Forensic Quick Find, Facial Recognition, Licence Plate Recognition, and GPT Agents. The company operates through three segments: Asia Pacific (APAC), responsible for sales, marketing, and product development in Australia and the broader Asia Pacific region; North America (NA), managing sales and marketing in the United States and Canada; and Europe, Middle East & Africa (EMEA), handling sales and marketing efforts across Europe, the Middle East, and Africa. The majority of revenue comes from the Asia Pacific (APAC) segment.