Range Intelligent Computing Technology Group Co (SZSE:300442) LT-Debt-to-Total-Asset : 0.34 (As of Mar. 2024)

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What is Range Intelligent Computing Technology Group 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. Range Intelligent Computing Technology Group Co's long-term debt to total assests ratio for the quarter that ended in Mar. 2024 was 0.34.

Range Intelligent Computing Technology Group Co's long-term debt to total assets ratio declined from Mar. 2023 (0.40) to Mar. 2024 (0.34). It may suggest that Range Intelligent Computing Technology Group Co is progressively becoming less dependent on debt to grow their business.

Range Intelligent Computing Technology Group Co LT-Debt-to-Total-Asset Historical Data

The historical data trend for Range Intelligent Computing Technology Group 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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Range Intelligent Computing Technology Group Co LT-Debt-to-Total-Asset Chart

Range Intelligent Computing Technology Group Co Annual Data

Trend

Dec14

Dec15

Dec16

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

LT-Debt-to-Total-Asset

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0.02

0.03

0.46

0.51

0.33

Range Intelligent Computing Technology Group Co Quarterly Data
	Jun19	Sep19	Dec19	Mar20	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															0.40	0.42	0.35	0.33	0.34

Range Intelligent Computing Technology Group Co LT-Debt-to-Total-Asset Calculation

Range Intelligent Computing Technology Group 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 )
	=	7634.022	/	23310.849
	=	0.33

Range Intelligent Computing Technology Group 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 )
	=	8805.249	/	26253.845
	=	0.34

Range Intelligent Computing Technology Group Co (SZSE:300442) 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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Range Intelligent Computing Technology Group Co (SZSE:300442) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » Range Intelligent Computing Technology Group Co Ltd (SZSE:300442) » Definitions » LT-Debt-to-Total-Asset

Comparable Companies

Traded in Other Exchanges

N/A

Address

No. 84, Jinzhangzhi Road, Zhangye Town, Building 26, Jinshan District, Shanghai, CHN, 065001

Website

https://www.rangeidc.com

Range Intelligent Computing Technology Group Co Ltd is catering to the application needs of big data, cloud computing, Internet of Things, 5G technology, and other industries, based on computing power, digital technology as a means, and intelligent Applications as a demonstration, providing a new generation of digital economy industry technology, products, services and system solutions for various industries.

Executives

Jiang Wei Dong	Directors, executives
Liu Jing Zhou	Supervisors

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