Shradha AI Technologies (BOM:543976) Debt-to-Asset : 0.00 (As of Dec. 2024)

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What is Shradha AI Technologies Debt-to-Asset?

Shradha AI Technologies's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was ₹0.0 Mil. Shradha AI Technologies's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2024 was ₹0.0 Mil. Shradha AI Technologies's Long-Term Debt & Capital Lease ObligationTotal Assets for the quarter that ended in Dec. 2024 was ₹0.0 Mil.

Shradha AI Technologies Debt-to-Asset Historical Data

The historical data trend for Shradha AI Technologies's Debt-to-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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Shradha AI Technologies Debt-to-Asset Chart

Shradha AI Technologies Annual Data

Trend

Mar18

Mar19

Mar20

Mar21

Mar22

Mar23

Mar24

Debt-to-Asset

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0.01

Shradha AI Technologies Quarterly Data
	Mar18	Mar19	Mar20	Mar21	Mar22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24	Sep24	Dec24
Debt-to-Asset	Get a 7-Day Free Trial										-	0.01	-	-	-

Competitive Comparison of Shradha AI Technologies's Debt-to-Asset

For the Electronics & Computer Distribution subindustry, Shradha AI Technologies's Debt-to-Asset, along with its competitors' market caps and Debt-to-Asset 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.

Shradha AI Technologies's Debt-to-Asset Distribution in the Hardware Industry

For the Hardware industry and Technology sector, Shradha AI Technologies's Debt-to-Asset distribution charts can be found below:

* The bar in red indicates where Shradha AI Technologies's Debt-to-Asset falls into.

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Shradha AI Technologies Debt-to-Asset Calculation

Debt to Asset measures the financial leverage a company has.

Shradha AI Technologies's Debt-to-Asset for the fiscal year that ended in Mar. 2024 is calculated as

Debt-to-Asset	=	Total Debt			/	Total Assets
	=	(Short-Term Debt & Capital Lease Obligation	+	Long-Term Debt & Capital Lease Obligation)	/	Total Assets
	=	(0	+	2.903)	/	585.62
	=	0.00

Shradha AI Technologies's Debt-to-Asset for the quarter that ended in Dec. 2024 is calculated as

Debt-to-Asset	=	Total Debt			/	Total Assets
	=	(Short-Term Debt & Capital Lease Obligation	+	Long-Term Debt & Capital Lease Obligation)	/	Total Assets
	=	(0	+	0)	/	0
	=	N/A

Shradha AI Technologies (BOM:543976) Debt-to-Asset Explanation

In the calculation of Debt-to-Asset, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by Total Assets.

Shradha AI Technologies Debt-to-Asset Related Terms

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Shradha AI Technologies Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Hardware » Shradha AI Technologies Ltd (BOM:543976) » Definitions » Debt-to-Asset

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Traded in Other Exchanges

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Address

Kingsway Road, Shradha House, 1st Floor, Room No.345, Nagpur, MH, IND, 440 001

Website

https://www.shradhhaindustries.com

Shradha AI Technologies Ltd Formerly Shradha Industries Ltd is engaged in trading of items like Computers, Computer peripherals, Computer Hardware and Software, data processors, computerized telecommunication systems and networks, calculators, tabulators, machines, appliances, accessories, devices and instruments of every kind and activation for use of industrial, commercial or any other purpose and distribution of IT hardware, software & security products distribution which is broadly categorized into IT consumers & enterprise segment. Its operational activity pertaining to its products offering includes procurement, warehousing, technical support, material movement and evaluation-based credit facilities to the resellers based on their financial credibility.

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