DTMXF (DataMetrex AI) Total Liabilities: $4.02 Mil (As of Dec. 2025)


What is DataMetrex AI Total Liabilities?

DataMetrex AI DTMXF Total Liabilities is $4.02 Mil as of Dec. 2025. The stock has 5 warning signs investors should review.

DataMetrex AI's Total Liabilities for the quarter that ended in Dec. 2025 was $4.02 Mil.

DataMetrex AI's quarterly Total Liabilities increased from Jun. 2025 ($3.57 Mil) to Sep. 2025 ($5.82 Mil) but then declined from Sep. 2025 ($5.82 Mil) to Dec. 2025 ($4.02 Mil).

DataMetrex AI's annual Total Liabilities increased from Dec. 2022 ($9.74 Mil) to Dec. 2023 ($9.99 Mil) but then declined from Dec. 2023 ($9.99 Mil) to Mar. 2025 ($3.02 Mil).

DataMetrex AI Total Liabilities Historical Data

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The historical data trend for DataMetrex AI's Total Liabilities 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.

DataMetrex AI Total Liabilities Chart

DataMetrex AI Annual Data
Trend Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Mar25
Total Liabilities
Get a 7-Day Free Trial Premium Member Only Premium Member Only 5.27 7.93 9.74 9.99 3.02

DataMetrex AI Quarterly Data
Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Jun24 Sep24 Dec24 Mar25 Jun25 Sep25 Dec25
Total Liabilities Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 7.43 3.02 3.57 5.82 4.02

DataMetrex AI Total Liabilities Calculation

Total Liabilities are the liabilities that the company has to pay others. It is a part of the balance sheet of a company that shareholders do not own, and would be obligated to pay back if the company liquidated.

DataMetrex AI's Total Liabilities for the fiscal year that ended in Mar. 2025 is calculated as

Total Liabilities=Total Current Liabilities+Total Noncurrent Liabilities
=Total Current Liabilities+(Long-Term Debt & Capital Lease Obligation+Other Long-Term Liabilities
=2.295+(0.722+0
+NonCurrent Deferred Liabilities+PensionAndRetirementBenefit+NonCurrent Deferred Income Tax)
+0+0+0)
=3.02

Total Liabilities=Total Assets (A: Mar. 2025 )-Total Equity (A: Mar. 2025 )
=3.474-0.457
=3.02

DataMetrex AI's Total Liabilities for the quarter that ended in Dec. 2025 is calculated as

Total Liabilities=Total Current Liabilities+Total Noncurrent Liabilities
=Total Current Liabilities+(Long-Term Debt & Capital Lease Obligation+Other Long-Term Liabilities
=2.375+(1.646+0.0010000000000003
+NonCurrent Deferred Liabilities+PensionAndRetirementBenefit+NonCurrent Deferred Income Tax)
+0+0+0)
=4.02

Total Liabilities=Total Assets (Q: Dec. 2025 )-Total Equity (Q: Dec. 2025 )
=10.579-6.558
=4.02

* 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.

Frequently Asked Questions Learn more about Total Liabilities →
What does a Total Liabilities of $4.02 Mil mean?
DataMetrex AI (DTMXF) has a Total Liabilities of $4.02 Mil as of Dec. 2025. The total amount of liabilities as recorded on a company's balance sheet. View historical data for DataMetrex AI and its competitors.
Is DataMetrex AI's Total Liabilities too high?
DataMetrex AI's current Total Liabilities is $4.02 Mil.
How does DataMetrex AI's Total Liabilities compare to IBM and ACN?
DataMetrex AI's Total Liabilities of $4.02 Mil can be compared against companies in the Software industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Total Liabilities for a Software company?
A good Total Liabilities depends on the Software industry context. However, Total Liabilities 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 Total Liabilities mean?
A high Total Liabilities can signal that a stock is expensive relative to its fundamentals. The total amount of liabilities as recorded on a company's balance sheet. View historical data for DataMetrex AI and its competitors. DataMetrex AI's current Total Liabilities is $4.02 Mil. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is DataMetrex AI stock overvalued right now?
Based on GuruFocus' analysis, DataMetrex AI (DTMXF) is currently considered Fairly Valued. The stock's GF Value™ is $0.03, compared to a current price of $0.03 — trading 1.3% below its estimated fair value. The current Total Liabilities is $4.02 Mil. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Total Liabilities calculated?
Total Liabilities is calculated from a company's financial statements. For DataMetrex AI (DTMXF), the current Total Liabilities is $4.02 Mil 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.

DataMetrex AI Business Description

Other Exchanges D4G0:GermanyDM:Canada
Address 2300 Yonge Street, Suite 2802, Toronto, ON, CAN, M4P 1E4
DataMetrex AI Ltd is a information technology company. The Company focuses on collecting, analyzing, and presenting structured and unstructured data using machine learning and artificial intelligence. The company is also engaged in blockchain technology for the collection, storage, transfer, analysis, and presentation of data. Its operating segments are AI & technology and Health Security segment. Its geographical segments are Canada and South Korea.