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Siemens (Pakistan) Engineering Co (KAR:SIEM) ROA % : 0.00% (As of . 20)


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What is Siemens (Pakistan) Engineering Co ROA %?

ROA % is calculated as Net Income divided by its average Total Assets over a certain period of time. Siemens (Pakistan) Engineering Co's annualized Net Income for the quarter that ended in . 20 was ₨ Mil. Siemens (Pakistan) Engineering Co's average Total Assets over the quarter that ended in . 20 was ₨ 0 Mil. Therefore, Siemens (Pakistan) Engineering Co's annualized ROA % for the quarter that ended in . 20 was Not Available.

The historical rank and industry rank for Siemens (Pakistan) Engineering Co's ROA % or its related term are showing as below:

KAR:SIEM's ROA % is not ranked *
in the Industrial Products industry.
Industry Median: 3.54
* Ranked among companies with meaningful ROA % only.

Siemens (Pakistan) Engineering Co ROA % Historical Data

The historical data trend for Siemens (Pakistan) Engineering Co's ROA % 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.

* Premium members only.

Siemens (Pakistan) Engineering Co ROA % Chart

Siemens (Pakistan) Engineering Co Annual Data
Trend
ROA %

Siemens (Pakistan) Engineering Co Quarterly Data
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Competitive Comparison of Siemens (Pakistan) Engineering Co's ROA %

For the Specialty Industrial Machinery subindustry, Siemens (Pakistan) Engineering Co's ROA %, along with its competitors' market caps and ROA % 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.


Siemens (Pakistan) Engineering Co's ROA % Distribution in the Industrial Products Industry

For the Industrial Products industry and Industrials sector, Siemens (Pakistan) Engineering Co's ROA % distribution charts can be found below:

* The bar in red indicates where Siemens (Pakistan) Engineering Co's ROA % falls into.



Siemens (Pakistan) Engineering Co ROA % Calculation

Siemens (Pakistan) Engineering Co's annualized ROA % for the fiscal year that ended in . 20 is calculated as:

ROA %=Net Income (A: . 20 )/( (Total Assets (A: . 20 )+Total Assets (A: . 20 ))/ count )
=/( (+)/ )
=/
= %

Siemens (Pakistan) Engineering Co's annualized ROA % for the quarter that ended in . 20 is calculated as:

ROA %=Net Income (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.

In the calculation of annual ROA %, the net income of the last fiscal year and the average total assets over the fiscal year are used. In calculating the quarterly data, the Net Income data used here is four times the quarterly (. 20) net income data. ROA % is displayed in the 30-year financial page.


Siemens (Pakistan) Engineering Co  (KAR:SIEM) ROA % Explanation

ROA % measures the rate of return on the total assets (shareholder equity plus liabilities). It measures a firm's efficiency at generating profits from shareholders' equity plus its liabilities. ROA % shows how well a company uses what it has to generate earnings. ROA %s can vary drastically across industries. Therefore, ROA % should not be used to compare companies in different industries. For retailers, a ROA % of higher than 5% is expected. For example, Wal-Mart (WMT) has a ROA % of about 8% as of 2012. For banks, ROA % is close to their interest spread. A bank’s ROA % is typically well under 2%.

Similar to ROE, ROA % is affected by profit margins and asset turnover. This can be seen from the Du Pont Formula:

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

Like ROE, ROA % is calculated with only 12 months data. Fluctuations in the company's earnings or business cycles can affect the ratio drastically. It is important to look at the ratio from a long term perspective. ROA % can be affected by events such as stock buyback or issuance, and by goodwill, a company's tax rate and its interest payment. ROA % may not reflect the true earning power of the assets. A more accurate measurement is ROC % (ROC).

Many analysts argue the higher return the better. Buffett states that really high ROA % may indicate vulnerability in the durability of the competitive advantage.

E.g. Raising $43b to take on KO is impossible, but $1.7b to take on Moody's is. Although Moody's ROA % and underlying economics is far superior to Coca Cola, the durability is far weaker because of lower entry cost.


Siemens (Pakistan) Engineering Co ROA % Related Terms

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Siemens (Pakistan) Engineering Co (KAR:SIEM) Business Description

Traded in Other Exchanges
N/A
Address
B-72, Estate Avenue, P.O Box 7158, S.I.T.E, Karachi, SD, PAK, 75700
Siemens (Pakistan) Engineering Co Ltd operates through the business portfolios Smart Infrastructure, Digital Industries and Siemens Energy focusing on the areas of power generation and distribution, smart grids and smart buildings, and automation and digitalization in the process and manufacturing landscape.. The firm's business segment includes Energy, Smart Infrastructure, and Digital Industries. Its geographical segments include Pakistan, Afghanistan, United Arab Emirates, Nigeria Oman, Iraq, and others, of which the majority of its revenue comes from Pakistan.

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