Plyzer Technologies (Plyzer Technologies) Total Assets : $0.38 Mil (As of Dec. 2019)

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What is Plyzer Technologies Total Assets?

Plyzer Technologies's Total Assets for the quarter that ended in Dec. 2019 was $0.38 Mil.

Total Assets is connected with ROA %. Plyzer Technologies's annualized ROA % for the quarter that ended in Dec. 2019 was -2,385.41%. Total Assets is also linked to Revenue through Asset Turnover. Plyzer Technologies's Asset Turnover for the quarter that ended in Dec. 2019 was 0.06.

Plyzer Technologies Total Assets Historical Data

The historical data trend for Plyzer Technologies's Total 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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Plyzer Technologies Total Assets Chart

Plyzer Technologies Annual Data

Trend

Mar10

Mar11

Mar12

Mar13

Mar14

Mar15

Mar16

Mar17

Mar18

Mar19

Total Assets

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0.12

0.01

0.02

0.28

0.21

Plyzer Technologies Quarterly Data
	Mar15	Jun15	Sep15	Dec15	Mar16	Jun16	Sep16	Dec16	Mar17	Jun17	Sep17	Dec17	Mar18	Jun18	Sep18	Dec18	Mar19	Jun19	Sep19	Dec19
Total Assets	Get a 7-Day Free Trial															0.23	0.21	0.65	0.61	0.38

Plyzer Technologies Total Assets Calculation

Total Assets are all the assets a company owns.

From the capital sources of the assets, some of the assets are funded through shareholder's paid in capital and retained earnings of the business. Others are funded through borrowed money.

Plyzer Technologies's Total Assets for the fiscal year that ended in Mar. 2019 is calculated as

Total Assets	=	Total Equity (A: Mar. 2019 )	+	Total Liabilities (A: Mar. 2019 )
	=	-2.523	+	2.73
	=	0.21

Plyzer Technologies's Total Assets for the quarter that ended in Dec. 2019 is calculated as

Total Assets	=	Total Equity (Q: Dec. 2019 )	+	Total Liabilities (Q: Dec. 2019 )
	=	-1.762	+	2.143
	=	0.38

Plyzer Technologies (OTCPK:PLYZ) Total Assets Explanation

Total Assets is connected with ROA %.

Plyzer Technologies's annualized ROA % for the quarter that ended in Dec. 2019 is

ROA %	=	Net Income (Q: Dec. 2019 )	/	( (Total Assets (Q: Sep. 2019 )	+	Total Assets (Q: Dec. 2019 ))	/ count )
	=	-11.772	/	( (0.606	+	0.381)	/ 2 )
	=	-11.772	/	0.4935
	=	-2,385.41 %

Note: The Net Income data used here is four times the quarterly (Dec. 2019) data.

In the article Joining The Dark Side: Pirates, Spies and Short Sellers, James Montier reported that In their US sample covering the period 1968-2003, Cooper et al find that firms with low asset growth outperformed firms with high asset growth by an astounding 20% p.a. equally weighted. Even when controlling for market, size and style, low asset growth firms outperformed high asset growth firms by 13% p.a. Therefore a company with fast asset growth may underperform.

Total Assets is linked to total revenue through Asset Turnover.

Plyzer Technologies's Asset Turnover for the quarter that ended in Dec. 2019 is

	Asset Turnover
=	Revenue (Q: Dec. 2019 )	/	( (Total Assets (Q: Sep. 2019 )	+	Total Assets (Q: Dec. 2019 ))	/ count )
=	0.03	/	( (0.606	+	0.381)	/ 2 )
=	0.03	/	0.4935
=	0.06

Therefore, if a company grows its Total Assets faster than its Revenue, the Asset Turnover will decline. This might be a warning sign for the business.

Plyzer Technologies Total Assets Related Terms

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Plyzer Technologies (Plyzer Technologies) Business Description

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GURUFOCUS.COM » STOCK LIST » Technology » Software » Plyzer Technologies Inc (OTCPK:PLYZ) » Definitions » Total Assets

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Address

47 Avenue Road, Suite 200, Toronto, ON, CAN, M5R 2G3

Website

http://www.plyzertechnologies.com

Plyzer Technologies Inc is engaged in developing commercial web portal aimed at providing solutions for price comparison using artificial intelligence in several niche markets. It provides cloud-based business intelligence solutions for brands to analyze critical online price and market data.