DSAIF (DeepSpatial) LT-Debt-to-Total-Asset: 0.22 (As of Sep. 2024)


What is DeepSpatial LT-Debt-to-Total-Asset?

DeepSpatial DSAIF LT-Debt-to-Total-Asset is 0.22 as of Sep. 2024.

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. DeepSpatial's long-term debt to total assests ratio for the quarter that ended in Sep. 2024 was 0.22.

DeepSpatial's long-term debt to total assets ratio declined from Sep. 2023 (0.53) to Sep. 2024 (0.22). It may suggest that DeepSpatial is progressively becoming less dependent on debt to grow their business.

DeepSpatial  (OTCPK:DSAIF) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.

DeepSpatial LT-Debt-to-Total-Asset Related Terms

DeepSpatial LT-Debt-to-Total-Asset Historical Data

* Premium members only.

The historical data trend for DeepSpatial's LT-Debt-to-Total-Asset 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.

DeepSpatial LT-Debt-to-Total-Asset Chart

DeepSpatial Annual Data
Trend Jun20 Jun21 Jun22 Jun23 Jun24
LT-Debt-to-Total-Asset
0.00 0.01 0.02 0.51 0.00

DeepSpatial Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24
LT-Debt-to-Total-Asset 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 0.53 0.15 0.00 0.00 0.22

DeepSpatial LT-Debt-to-Total-Asset Calculation

DeepSpatial's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Jun. 2024 is calculated as

LT Debt to Total Assets (A: Jun. 2024 )=Long-Term Debt & Capital Lease Obligation (A: Jun. 2024 )/Total Assets (A: Jun. 2024 )
=0/0.43
=0.00

DeepSpatial's Long-Term Debt to Total Asset Ratio for the quarter that ended in Sep. 2024 is calculated as

LT Debt to Total Assets (Q: Sep. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Sep. 2024 )/Total Assets (Q: Sep. 2024 )
=0.141/0.653
=0.22

* 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 LT-Debt-to-Total-Asset →
What does a LT-Debt-to-Total-Asset of 0.22 mean?
DeepSpatial (DSAIF) has a LT-Debt-to-Total-Asset of 0.22 as of Sep. 2024. Long-term Debt to Total Asset ratio is the ratio of total long-term debt to total assets. View historical data on DeepSpatial and its competitors.
Is DeepSpatial's LT-Debt-to-Total-Asset too high?
DeepSpatial's current LT-Debt-to-Total-Asset is 0.22.
How does DeepSpatial's LT-Debt-to-Total-Asset compare to CISO and JNVR?
DeepSpatial's LT-Debt-to-Total-Asset of 0.22 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 LT-Debt-to-Total-Asset for a Software company?
A good LT-Debt-to-Total-Asset depends on the Software industry context. However, LT-Debt-to-Total-Asset 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 LT-Debt-to-Total-Asset mean?
A high LT-Debt-to-Total-Asset can signal that a stock is expensive relative to its fundamentals. Long-term Debt to Total Asset ratio is the ratio of total long-term debt to total assets. View historical data on DeepSpatial and its competitors. DeepSpatial's current LT-Debt-to-Total-Asset is 0.22. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is DeepSpatial stock overvalued right now?
DeepSpatial (DSAIF) has a current LT-Debt-to-Total-Asset of 0.22. The current LT-Debt-to-Total-Asset is 0.22. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is LT-Debt-to-Total-Asset calculated?
LT-Debt-to-Total-Asset is calculated from a company's financial statements. For DeepSpatial (DSAIF), the current LT-Debt-to-Total-Asset is 0.22 as of Sep. 2024. 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.

DeepSpatial Business Description

Address 40 King Street West, Scotia Plaza, Suite 2400, Toronto, ON, CAN, M5H 3Y2
DeepSpatial Inc is a GeoAI company delivering data-driven solutions that empower organizations to make smarter, more sustainable decisions. The firm combines geospatial analytics and artificial intelligence, which helps clients visualize trends, forecast outcomes, and optimize operations to drive positive social and economic impact. The firm serves industries such as Education, Agriculture and Emerging industries like Retail, Health, Disaster Management, Law Enforcement, and Logistics.