HTDS (Hard to Treat Diseases) Scaled Net Operating Assets : (As of . 20)

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What is Hard to Treat Diseases 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.

Hard to Treat Diseases's operating assets for the quarter that ended in . 20 was $ Mil. Hard to Treat Diseases's operating liabilities for the quarter that ended in . 20 was $ Mil. Hard to Treat Diseases's Total Assets for the quarter that ended in . 20 was $ Mil. Therefore, Hard to Treat Diseases's scaled net operating assets (SNOA) for the quarter that ended in . 20 was .

Hard to Treat Diseases Scaled Net Operating Assets Historical Data

The historical data trend for Hard to Treat Diseases'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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Hard to Treat Diseases Scaled Net Operating Assets Chart

Hard to Treat Diseases Annual Data

Trend

Scaled Net Operating Assets

Hard to Treat Diseases Quarterly Data

Scaled Net Operating Assets

Competitive Comparison of Hard to Treat Diseases's Scaled Net Operating Assets

For the Biotechnology subindustry, Hard to Treat Diseases'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.

Hard to Treat Diseases's Scaled Net Operating Assets Distribution in the Biotechnology Industry

For the Biotechnology industry and Healthcare sector, Hard to Treat Diseases's Scaled Net Operating Assets distribution charts can be found below:

* The bar in red indicates where Hard to Treat Diseases's Scaled Net Operating Assets falls into.

Hard to Treat Diseases 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.

Hard to Treat Diseases's Scaled Net Operating Assets (SNOA) for the fiscal year that ended in . 20 is calculated as

	Scaled Net Operating Assets (SNOA)		(A: . 20 )
=	(Operating Assets (A: . 20 )	-	Operating Liabilities (A: . 20 ))	/	Total Assets (A: . 20 )
=	(	-	)	/
=

where

	Operating Assets		(A: . 20 )
=	Total Assets	-	Cash, Cash Equivalents, Marketable Securities
=		-
=

	Operating Liabilities		(A: . 20 )
=	Total Liabilities	-	Long-Term Debt & Capital Lease Obligation	-	Short-Term Debt & Capital Lease Obligation
=		-		-
=

Hard to Treat Diseases's Scaled Net Operating Assets (SNOA) for the quarter that ended in . 20 is calculated as

	Scaled Net Operating Assets (SNOA)		(Q: . 20 )
=	(Operating Assets (Q: . 20 )	-	Operating Liabilities (Q: . 20 ))	/	Total Assets (Q: . 20 )
=	(	-	)	/
=

where

	Operating Assets		(Q: . 20 )
=	Total Assets	-	Cash, Cash Equivalents, Marketable Securities
=		-
=

	Operating Liabilities		(Q: . 20 )
=	Total Liabilities	-	Long-Term Debt & Capital Lease Obligation	-	Short-Term Debt & Capital Lease Obligation
=		-		-
=

Hard to Treat Diseases Scaled Net Operating Assets Related Terms

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Hard to Treat Diseases Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Healthcare » Biotechnology » Hard to Treat Diseases Inc (OTCPK:HTDS) » Definitions » Scaled Net Operating Assets

Comparable Companies

Traded in Other Exchanges

N/A

Address

2655 Ulmerton Road, No. 338, Clearwater, FL, USA, 33762

Website

http://www.htdsmedical.com

Hard to Treat Diseases Inc operates medical and cosmetics company in Europe, and Mainland China. It is s also in the process of developing its own stem cell bank.

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