DeepSpatial (XCNQ:DSAI) ROCE % : -91.78% (As of Mar. 2024)

View and export this data going back to 2021. Start your Free Trial

What is DeepSpatial ROCE %?

ROCE % measures how well a company generates profits from its capital. It is calculated as EBIT divided by Capital Employed, where Capital Employed is calculated as Total Assets minus Total Current Liabilities. DeepSpatial's annualized ROCE % for the quarter that ended in Mar. 2024 was -91.78%.

DeepSpatial ROCE % Historical Data

The historical data trend for DeepSpatial's ROCE % 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.

* Premium members only.

DeepSpatial ROCE % Chart

DeepSpatial Annual Data

Trend

Jun20

Jun21

Jun22

Jun23

ROCE %

-39.16

-95.65

-134.08

DeepSpatial Quarterly Data
	Dec19	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24
ROCE %	Get a 7-Day Free Trial													-116.53	-174.23	-217.05	-224.26	-91.78

DeepSpatial ROCE % Calculation

DeepSpatial's annualized ROCE % for the fiscal year that ended in Jun. 2023 is calculated as:

ROCE %	=	EBIT	/	( (Capital Employed	+	Capital Employed)	/ count )
		(A: Jun. 2023 )		(A: Jun. 2022 )		(A: Jun. 2023 )
	=	EBIT	/	( ( (Total Assets - Total Current Liabilities)	+	(Total Assets - Total Current Liabilities) )	/ count )
		(A: Jun. 2023 )		(A: Jun. 2022 )		(A: Jun. 2023 )
	=	-1.438	/	( ( (1.636 - 0.171)	+	(1.189 - 0.509) )	/ 2 )
	=	-1.438	/	( (1.465	+	0.68)	/ 2 )
	=	-1.438	/	1.0725
	=	-134.08 %

DeepSpatial's ROCE % of for the quarter that ended in Mar. 2024 is calculated as:

ROCE %	=	EBIT ⁽¹⁾	/	( (Capital Employed	+	Capital Employed)	/ count )
		(Q: Mar. 2024 )		(Q: Dec. 2023 )		(Q: Mar. 2024 )
	=	EBIT	/	( ( (Total Assets - Total Current Liabilities)	+	(Total Assets - Total Current Liabilities) )	/ count )
		(Q: Mar. 2024 )		(Q: Dec. 2023 )		(Q: Mar. 2024 )
	=	-0.664	/	( ( (1.214 - 0.334)	+	(1.557 - 0.99) )	/ 2 )
	=	-0.664	/	( ( 0.88	+	0.567 )	/ 2 )
	=	-0.664	/	0.7235
	=	-91.78 %

(1) Note: The EBIT data used here is four times the quarterly (Mar. 2024) EBIT data.

DeepSpatial (XCNQ:DSAI) ROCE % Explanation

ROCE % can be especially useful when comparing the performance of capital-intensive companies. Unlike ROE %, which indicates the profitability of Shareholders Equity, ROCE % also considers long-term debt in Capital Employed. This can be helpful when analyzing companies with significant debt, as the result is neutralized by taking debt into consideration.

Generally speaking, a higher ROCE % indicates a stonger profitability for a company. Moreover, it is important to look at the ratio from a long term perspective. Investors tend to favor companies with stable and rising ROCE % trend over those with volatile ones.

DeepSpatial ROCE % Related Terms

Thank you for viewing the detailed overview of DeepSpatial's ROCE % provided by GuruFocus.com. Please click on the following links to see related term pages.

DeepSpatial Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » DeepSpatial Inc (XCNQ:DSAI) » Definitions » ROCE %

Comparable Companies

Traded in Other Exchanges

DSAIF:USA

Address

77 King Street West, Suite 3000, Toronto, ON, CAN, M5K 1G8

Website

https://www.deepspatial.ai

DeepSpatial Inc is an artificial intelligence, technology SaaS company at the forefront of geospatial artificial intelligence and geographic informational systems, specializing in providing robust location intelligence solutions for transforming existing location data into business outcomes. AI powered solutions to businesses by leveraging the power of geospatial data. The company has built products that target four specific customer needs across industry verticals. These are geodemographic customer profiling, price recommendation engine, inventory management and supply chain analytics, and sentiment monitoring to measure and improve brand health.

DeepSpatial Headlines

No Headlines