Siemens (Pakistan) Engineering Co (KAR:SIEM) Scaled Net Operating Assets: (As of . 20)


What is Siemens (Pakistan) Engineering Co 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.

Siemens (Pakistan) Engineering Co's operating assets for the quarter that ended in . 20 was ₨ Mil. Siemens (Pakistan) Engineering Co's operating liabilities for the quarter that ended in . 20 was ₨ Mil. Siemens (Pakistan) Engineering Co's Total Assets for the quarter that ended in . 20 was ₨ Mil. Therefore, Siemens (Pakistan) Engineering Co's scaled net operating assets (SNOA) for the quarter that ended in . 20 was .


Siemens (Pakistan) Engineering Co Scaled Net Operating Assets Historical Data

* Premium members only.

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

Siemens (Pakistan) Engineering Co Scaled Net Operating Assets Chart

Siemens (Pakistan) Engineering Co Annual Data
Trend
Scaled Net Operating Assets

Siemens (Pakistan) Engineering Co Quarterly Data
Scaled Net Operating Assets

Siemens (Pakistan) Engineering Co Scaled Net Operating Assets Competitor Comparison

For the Specialty Industrial Machinery subindustry, Siemens (Pakistan) Engineering Co'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.


Siemens (Pakistan) Engineering Co Scaled Net Operating Assets vs Industrial Products Industry

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

* The bar in red indicates where Siemens (Pakistan) Engineering Co's Scaled Net Operating Assets falls into.



Siemens (Pakistan) Engineering Co 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.

Siemens (Pakistan) Engineering Co'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
= -
=

Siemens (Pakistan) Engineering Co'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
= -
=

* 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.


Siemens (Pakistan) Engineering Co Business Description

Address B-72, Estate Avenue, P.O Box 7158, S.I.T.E, Karachi, SD, PAK, 75700
Siemens (Pakistan) Engineering Co Ltd operates through three business segments: Smart Infrastructure, Digital Industries, and Energy, focusing on power generation and distribution, smart grids and smart buildings, and automation and digitalization in the process and manufacturing landscape. The company serves industries including aerospace, automotive, battery manufacturing, chemical, cement, cranes, and data centers. It generates the majority of its revenue from the Smart Infrastructure segment. Its geographical segments include Pakistan, Libya, the United Arab Emirates, Nigeria, Qatar, Oman, Iraq, and others, with the majority of revenue derived from Pakistan.