Shanghai Optech Science and Technology Co (BJSE:836414) LT-Debt-to-Total-Asset : 0.01 (As of Mar. 2024)

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What is Shanghai Optech Science and Technology Co 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. Shanghai Optech Science and Technology Co's long-term debt to total assests ratio for the quarter that ended in Mar. 2024 was 0.01.

Shanghai Optech Science and Technology Co's long-term debt to total assets ratio increased from Mar. 2023 (0.00) to Mar. 2024 (0.01). It may suggest that Shanghai Optech Science and Technology Co is progressively becoming more dependent on debt to grow their business.

Shanghai Optech Science and Technology Co LT-Debt-to-Total-Asset Historical Data

The historical data trend for Shanghai Optech Science and Technology Co'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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Shanghai Optech Science and Technology Co LT-Debt-to-Total-Asset Chart

Shanghai Optech Science and Technology Co Annual Data

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Dec23

LT-Debt-to-Total-Asset

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0.01

Shanghai Optech Science and Technology Co Quarterly Data
	Jun18	Dec18	Jun19	Dec19	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24
LT-Debt-to-Total-Asset	Get a 7-Day Free Trial															-	-	0.01	0.01	0.01

Shanghai Optech Science and Technology Co LT-Debt-to-Total-Asset Calculation

Shanghai Optech Science and Technology Co's Long-Term Debt to Total Asset Ratio for the fiscal year that ended in Dec. 2023 is calculated as

LT Debt to Total Assets (A: Dec. 2023 )	=	Long-Term Debt & Capital Lease Obligation (A: Dec. 2023 )	/	Total Assets (A: Dec. 2023 )
	=	2.152	/	378.308
	=	0.01

Shanghai Optech Science and Technology Co's Long-Term Debt to Total Asset Ratio for the quarter that ended in Mar. 2024 is calculated as

LT Debt to Total Assets (Q: Mar. 2024 )	=	Long-Term Debt & Capital Lease Obligation (Q: Mar. 2024 )	/	Total Assets (Q: Mar. 2024 )
	=	2.152	/	375.026
	=	0.01

Shanghai Optech Science and Technology Co (BJSE:836414) 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.

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Shanghai Optech Science and Technology Co (BJSE:836414) Business Description

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GURUFOCUS.COM » STOCK LIST » Industrials » Industrial Products » Shanghai Optech Science and Technology Co Ltd (BJSE:836414) » Definitions » LT-Debt-to-Total-Asset

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Address

Lane 879, Zhongjiang Road, Room 402, Building 12, Putuo District, Shanghai, CHN, 200333

Website

http://www.optjt.cn

Shanghai Optech Science and Technology Co Ltd focused on the technology and product development of automatic detection equipment and automatic production equipment in the photovoltaic industry. It engages in designing photovoltaic detection solutions and the development, production, and sales of supporting equipment and software. It offers Component EL/appearance -AI automatic sorting system, String inspection EL/appearance AI automatic sorting system, Automatic battery sorting system, Final inspection appearance-AI automatic sorting system, Component repair query system, String inspection repair query system, Dual station battery string repair system, Photovoltaic power station UAV automatic operation and maintenance system.

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