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Majan College (University College)OG (MUS:BACS) LT-Debt-to-Total-Asset : 0.00 (As of Aug. 2023)


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What is Majan College (University College)OG LT-Debt-to-Total-Asset?

LT Debt to Total Assets is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. It is calculated as a company's Long-Term Debt & Capital Lease Obligationdivide by its Total Assets. Majan College (University College)OG's long-term debt to total assests ratio for the quarter that ended in Aug. 2023 was 0.00.

Majan College (University College)OG's long-term debt to total assets ratio stayed the same from Aug. 2021 (0.00) to Aug. 2023 (0.00).


Majan College (University College)OG LT-Debt-to-Total-Asset Historical Data

The historical data trend for Majan College (University College)OG's LT-Debt-to-Total-Asset 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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Majan College (University College)OG LT-Debt-to-Total-Asset Chart

Majan College (University College)OG Annual Data
Trend Aug14 Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
LT-Debt-to-Total-Asset
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Majan College (University College)OG Semi-Annual Data
Aug06 Aug07 Aug08 Aug09 Aug10 Aug11 Aug12 Aug13 Aug14 Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
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Majan College (University College)OG LT-Debt-to-Total-Asset Calculation

Majan College (University College)OG's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Aug. 2023 is calculated as

LT Debt to Total Assets (A: Aug. 2023 )=Long-Term Debt & Capital Lease Obligation (A: Aug. 2023 )/Total Assets (A: Aug. 2023 )
=0/14.006
=0.00

Majan College (University College)OG's Long-Term Debt to Total Asset Ratio for the quarter that ended in Aug. 2023 is calculated as

LT Debt to Total Assets (Q: Aug. 2023 )=Long-Term Debt & Capital Lease Obligation (Q: Aug. 2023 )/Total Assets (Q: Aug. 2023 )
=0/14.006
=0.00

* 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.


Majan College (University College)OG  (MUS:BACS) LT-Debt-to-Total-Asset Explanation

LT Debt to Total Asset is a measurement representing the percentage of a corporation's assets that are financed with loans and financial obligations lasting more than one year. The ratio provides a general measure of the financial position of a company, including its ability to meet financial requirements for outstanding loans. A year-over-year decrease in this metric would suggest the company is progressively becoming less dependent on debt to grow their business.


Majan College (University College)OG LT-Debt-to-Total-Asset Related Terms

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Majan College (University College)OG (MUS:BACS) Business Description

Traded in Other Exchanges
N/A
Address
Building No 1986, Way No. 2621, P.O Box: 710, Ruwi, Mutrah, Muscat, OMN, 112
Majan College (University College) SAOG engages in the fields of management sciences, and scientific research, and provides education to students in the Sultanate of Oman. The company offers programs at both undergraduate and postgraduate levels. Majan College (University College) SAOG provides its undergraduate programs in Business Administration with several pathways like Finance, Accounting, Banking and Finance, Computer and Internet Applications, Networking, Computing with 3 pathways, and English Language. The Master's programs offered include Business Administration, Computer Sciences, and International Human Resources Management.

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