Sichuan Discovery Dream Science & Technology Co (SZSE:301213) ROCE % : 0.40% (As of Mar. 2024)

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What is Sichuan Discovery Dream Science & Technology Co 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. Sichuan Discovery Dream Science & Technology Co's annualized ROCE % for the quarter that ended in Mar. 2024 was 0.40%.

Sichuan Discovery Dream Science & Technology Co ROCE % Historical Data

The historical data trend for Sichuan Discovery Dream Science & Technology Co'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.

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Sichuan Discovery Dream Science & Technology Co ROCE % Chart

Sichuan Discovery Dream Science & Technology Co Annual Data

Trend

Dec13

Dec14

Dec15

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

ROCE %

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63.25

42.11

13.60

1.97

-1.00

Sichuan Discovery Dream Science & Technology Co Quarterly Data
	Jun18	Dec18	Jun19	Dec19	Mar20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24
ROCE %	Get a 7-Day Free Trial															0.92	0.35	1.67	-6.95	0.40

Sichuan Discovery Dream Science & Technology Co ROCE % Calculation

Sichuan Discovery Dream Science & Technology Co's annualized ROCE % for the fiscal year that ended in Dec. 2023 is calculated as:

ROCE %	=	EBIT	/	( (Capital Employed	+	Capital Employed)	/ count )
		(A: Dec. 2023 )		(A: Dec. 2022 )		(A: Dec. 2023 )
	=	EBIT	/	( ( (Total Assets - Total Current Liabilities)	+	(Total Assets - Total Current Liabilities) )	/ count )
		(A: Dec. 2023 )		(A: Dec. 2022 )		(A: Dec. 2023 )
	=	-8.163	/	( ( (890.642 - 80.458)	+	(885.264 - 70.028) )	/ 2 )
	=	-8.163	/	( (810.184	+	815.236)	/ 2 )
	=	-8.163	/	812.71
	=	-1.00 %

Sichuan Discovery Dream Science & Technology Co'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 )
	=	3.268	/	( ( (885.264 - 70.028)	+	(897.673 - 70.426) )	/ 2 )
	=	3.268	/	( ( 815.236	+	827.247 )	/ 2 )
	=	3.268	/	821.2415
	=	0.40 %

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

Sichuan Discovery Dream Science & Technology Co (SZSE:301213) 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.

Sichuan Discovery Dream Science & Technology Co ROCE % Related Terms

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Sichuan Discovery Dream Science & Technology Co (SZSE:301213) Business Description

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GURUFOCUS.COM » STOCK LIST » Industrials » Business Services » Sichuan Discovery Dream Science & Technology Co Ltd (SZSE:301213) » Definitions » ROCE %

Traded in Other Exchanges

N/A

Address

No. 666, Jitai Road, No. 8, 18th Floor, Building 1, Chengdu High-tech Zone, Pilot Free Trade Zone, Sichuan, CHN, 610041

Website

http://www.gxwin.cn

Sichuan Discovery Dream Science & Technology Co Ltd provide customers with related software and hardware products and services such as equipment life cycle management systems, intelligent weapons and equipment management and control modules.

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