Clearle (BSP:CLSA3) Scaled Net Operating Assets : 0.40 (As of Sep. 2024)

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What is Clearle Scaled Net Operating Assets?

Scaled Net Operating Assets (SNOA) is calculated as the difference between operating assets and operating liabilities, scaled by lagged total assets.

Clearle's operating assets for the quarter that ended in Sep. 2024 was R$494.8 Mil. Clearle's operating liabilities for the quarter that ended in Sep. 2024 was R$142.9 Mil. Clearle's Total Assets for the quarter that ended in Jun. 2024 was R$870.1 Mil. Therefore, Clearle's scaled net operating assets (SNOA) for the quarter that ended in Sep. 2024 was 0.40.

Clearle Scaled Net Operating Assets Historical Data

The historical data trend for Clearle's Scaled Net Operating Assets 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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Clearle Scaled Net Operating Assets Chart

Clearle Annual Data

Trend

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Scaled Net Operating Assets

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0.72

0.51

0.65

0.33

0.40

Clearle Quarterly Data
	Dec18	Dec19	Mar20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24	Sep24
Scaled Net Operating Assets	Get a 7-Day Free Trial															0.39	0.41	0.40	0.42	0.40

Competitive Comparison of Clearle's Scaled Net Operating Assets

For the Software - Infrastructure subindustry, Clearle's Scaled Net Operating Assets, along with its competitors' market caps and Scaled Net Operating Assets data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

Clearle's Scaled Net Operating Assets Distribution in the Software Industry

For the Software industry and Technology sector, Clearle's Scaled Net Operating Assets distribution charts can be found below:

* The bar in red indicates where Clearle's Scaled Net Operating Assets falls into.

Clearle Scaled Net Operating Assets Calculation

Scaled Net Operating Assets (SNOA) is calculated as the difference between operating assets and operating liabilities, scaled by lagged total assets.

Clearle's Scaled Net Operating Assets (SNOA) for the fiscal year that ended in Dec. 2023 is calculated as

	Scaled Net Operating Assets (SNOA)		(A: Dec. 2023 )
=	(Operating Assets (A: Dec. 2023 )	-	Operating Liabilities (A: Dec. 2023 ))	/	Total Assets (A: Dec. 2022 )
=	(487.004	-	119.366)	/	915.494
=	0.40

where

	Operating Assets		(A: Dec. 2023 )
=	Total Assets	-	Cash, Cash Equivalents, Marketable Securities
=	881.17	-	394.166
=	487.004

	Operating Liabilities		(A: Dec. 2023 )
=	Total Liabilities	-	Long-Term Debt & Capital Lease Obligation	-	Short-Term Debt & Capital Lease Obligation
=	160.246	-	10.922	-	29.958
=	119.366

Clearle's Scaled Net Operating Assets (SNOA) for the quarter that ended in Sep. 2024 is calculated as

	Scaled Net Operating Assets (SNOA)		(Q: Sep. 2024 )
=	(Operating Assets (Q: Sep. 2024 )	-	Operating Liabilities (Q: Sep. 2024 ))	/	Total Assets (Q: Jun. 2024 )
=	(494.761	-	142.894)	/	870.067
=	0.40

where

	Operating Assets		(Q: Sep. 2024 )
=	Total Assets	-	Cash, Cash Equivalents, Marketable Securities
=	857.97	-	363.209
=	494.761

	Operating Liabilities		(Q: Sep. 2024 )
=	Total Liabilities	-	Long-Term Debt & Capital Lease Obligation	-	Short-Term Debt & Capital Lease Obligation
=	160.885	-	7.163	-	10.828
=	142.894

Clearle Scaled Net Operating Assets Related Terms

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Clearle Business Description

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Avenue Marcos Penteado de Ulhoa, Torre Jacaranda, Rodrigues, 939, Conjuntos 301 and 302, Barueri, SP, BRA, 06460-040

Website

https://br.clear.sale

Clear Sale SA is an authority in anti-fraud solutions and credit scores, balancing advanced technology and human intelligence specialist.

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