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HTDS (Hard to Treat Diseases) Asset Turnover : 0.00 (As of . 20)


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What is Hard to Treat Diseases Asset Turnover?

Asset Turnover measures how quickly a company turns over its asset through sales. It is calculated as Revenue divided by Total Assets. Hard to Treat Diseases's Revenue for the three months 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 Asset Turnover for the quarter that ended in . 20 was 0.00.

Asset Turnover is linked to ROE % through Du Pont Formula. Hard to Treat Diseases's annualized ROE % for the quarter that ended in . 20 was %. It is also linked to ROA % through Du Pont Formula. Hard to Treat Diseases's annualized ROA % for the quarter that ended in . 20 was %.


Hard to Treat Diseases Asset Turnover Historical Data

The historical data trend for Hard to Treat Diseases's Asset Turnover 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 Asset Turnover Chart

Hard to Treat Diseases Annual Data
Trend
Asset Turnover

Hard to Treat Diseases Quarterly Data
Asset Turnover

Competitive Comparison of Hard to Treat Diseases's Asset Turnover

For the Biotechnology subindustry, Hard to Treat Diseases's Asset Turnover, along with its competitors' market caps and Asset Turnover 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 Asset Turnover Distribution in the Biotechnology Industry

For the Biotechnology industry and Healthcare sector, Hard to Treat Diseases's Asset Turnover distribution charts can be found below:

* The bar in red indicates where Hard to Treat Diseases's Asset Turnover falls into.



Hard to Treat Diseases Asset Turnover Calculation

Asset Turnover measures how quickly a company turns over its asset through sales.

Hard to Treat Diseases's Asset Turnover for the fiscal year that ended in . 20 is calculated as

Asset Turnover
=Revenue/Average Total Assets
=Revenue (A: . 20 )/( (Total Assets (A: . 20 )+Total Assets (A: . 20 ))/ count )
=/( (+)/ )
=/
=

Hard to Treat Diseases's Asset Turnover for the quarter that ended in . 20 is calculated as

Asset Turnover
=Revenue/Average Total Assets
=Revenue (Q: . 20 )/( (Total Assets (Q: . 20 )+Total Assets (Q: . 20 ))/ count )
=/( (+)/ )
=/
=

* 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.

Companies with low profit margins tend to have high Asset Turnover, while those with high profit margins have low Asset Turnover. Companies in the retail industry tend to have a very high turnover ratio.


Hard to Treat Diseases  (OTCPK:HTDS) Asset Turnover Explanation

Asset Turnover is linked to ROE % through Du Pont Formula.

Hard to Treat Diseases's annulized ROE % for the quarter that ended in . 20 is

ROE %**(Q: . 20 )
=Net Income/Total Stockholders Equity
=/
=(Net Income / Revenue)*(Revenue / Total Assets)*(Total Assets / Total Stockholders Equity)
=( / )*( / )*(/ )
=Net Margin %*Asset Turnover*Equity Multiplier
= %**
=ROA %*Equity Multiplier
= %*
= %

Note: The Net Income data used here is four times the quarterly (. 20) net income data. The Revenue data used here is four times the quarterly (. 20) revenue data.

* 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.

** The ROE % used above is for Du Pont Analysis only. It is different from the defined ROE % page on our website, as here it uses Net Income instead of Net Income attributable to Common Stockholders in the calculation.

It is also linked to ROA % through Du Pont Formula:

Hard to Treat Diseases's annulized ROA % for the quarter that ended in . 20 is

Note: The Net Income data used here is four times the quarterly (. 20) net income data. The Revenue data used here is four times the quarterly (. 20) revenue data.

* 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.


Be Aware

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.

Therefore, it is a good sign if a company's Asset Turnover is consistent or even increases. If a company's asset grows faster than sales, its Asset Turnover will decline, which can be a warning sign.


Hard to Treat Diseases Asset Turnover Related Terms

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Hard to Treat Diseases Business Description

Traded in Other Exchanges
N/A
Address
2655 Ulmerton Road, No. 338, Clearwater, FL, USA, 33762
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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