Papilonvunma Guvenlik Sistemleri Bilisim Muh (IST:PAPIL) ROCE % : 23.25% (As of Dec. 2024)

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What is Papilonvunma Guvenlik Sistemleri Bilisim Muh 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. Papilonvunma Guvenlik Sistemleri Bilisim Muh's annualized ROCE % for the quarter that ended in Dec. 2024 was 23.25%.

Papilonvunma Guvenlik Sistemleri Bilisim Muh ROCE % Historical Data

The historical data trend for Papilonvunma Guvenlik Sistemleri Bilisim Muh'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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Papilonvunma Guvenlik Sistemleri Bilisim Muh ROCE % Chart

Papilonvunma Guvenlik Sistemleri Bilisim Muh Annual Data

Trend

Dec16

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Dec24

ROCE %

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12.61

30.88

-22.78

24.40

-2.53

Papilonvunma Guvenlik Sistemleri Bilisim Muh Quarterly Data
	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24	Sep24	Dec24
ROCE %	Get a 7-Day Free Trial															-8.40	37.41	-27.08	-52.61	23.25

Papilonvunma Guvenlik Sistemleri Bilisim Muh ROCE % Calculation

Papilonvunma Guvenlik Sistemleri Bilisim Muh's annualized ROCE % for the fiscal year that ended in Dec. 2024 is calculated as:

ROCE %	=	EBIT	/	( (Capital Employed	+	Capital Employed)	/ count )
		(A: Dec. 2024 )		(A: Dec. 2023 )		(A: Dec. 2024 )
	=	EBIT	/	( ( (Total Assets - Total Current Liabilities)	+	(Total Assets - Total Current Liabilities) )	/ count )
		(A: Dec. 2024 )		(A: Dec. 2023 )		(A: Dec. 2024 )
	=	-11.854	/	( ( (495.432 - 20.649)	+	(488.267 - 25.655) )	/ 2 )
	=	-11.854	/	( (474.783	+	462.612)	/ 2 )
	=	-11.854	/	468.6975
	=	-2.53 %

Papilonvunma Guvenlik Sistemleri Bilisim Muh's ROCE % of for the quarter that ended in Dec. 2024 is calculated as:

ROCE %	=	EBIT ⁽¹⁾	/	( (Capital Employed	+	Capital Employed)	/ count )
		(Q: Dec. 2024 )		(Q: Sep. 2024 )		(Q: Dec. 2024 )
	=	EBIT	/	( ( (Total Assets - Total Current Liabilities)	+	(Total Assets - Total Current Liabilities) )	/ count )
		(Q: Dec. 2024 )		(Q: Sep. 2024 )		(Q: Dec. 2024 )
	=	101.916	/	( ( (449.21 - 35.143)	+	(488.267 - 25.655) )	/ 2 )
	=	101.916	/	( ( 414.067	+	462.612 )	/ 2 )
	=	101.916	/	438.3395
	=	23.25 %

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

Papilonvunma Guvenlik Sistemleri Bilisim Muh (IST:PAPIL) 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.

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Papilonvunma Guvenlik Sistemleri Bilisim Muh Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Industrials » Business Services » Papilon Savunma Guvenlik Sistemleri Bilisim Muh (IST:PAPIL) » Definitions » ROCE %

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Address

Mebusevleri Mah., Ergin Sk., No: 9, Cankaya, Ankara, TUR, 06570

Website

https://www.papilon.com.tr

Papilon Savunma Guvenlik Sistemleri Bilisim Muh is a provider of security solutions and biometrics & ballistics identification products. Its products portfolio includes Automated Palm and Fingerprint Identification System, Live Scanners, Access Control, Biometric Work Stations, Mobile Devices, Forensic Devices, Face Recognition, Iris Recognition, Ballistic Identification, Virtual Reality, Biometrics Integrated Automatic Gates System, Face Recognition System, and Iris Identification System.

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