Sancode Technologies (BOM:543897) Debt-to-Asset : 0.16 (As of Mar. 2024)

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What is Sancode Technologies Debt-to-Asset?

Sancode Technologies's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ₹0.01 Mil. Sancode Technologies's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ₹13.81 Mil. Sancode Technologies's Long-Term Debt & Capital Lease ObligationTotal Assets for the quarter that ended in Mar. 2024 was ₹86.70 Mil. Sancode Technologies's debt to asset for the quarter that ended in Mar. 2024 was 0.16.

Sancode Technologies Debt-to-Asset Historical Data

The historical data trend for Sancode 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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Sancode Technologies Debt-to-Asset Chart

Sancode Technologies Annual Data

Trend

Mar20

Mar21

Mar22

Mar23

Mar24

Debt-to-Asset

0.20

0.06

0.16

Sancode Technologies Semi-Annual Data
	Mar20	Mar21	Mar22	Sep22	Mar23	Sep23	Mar24
Debt-to-Asset	Get a 7-Day Free Trial			0.06	0.04	-	0.02	0.16

Competitive Comparison of Sancode Technologies's Debt-to-Asset

For the Consulting Services subindustry, Sancode 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.

Sancode Technologies's Debt-to-Asset Distribution in the Business Services Industry

For the Business Services industry and Industrials sector, Sancode Technologies's Debt-to-Asset distribution charts can be found below:

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

Sancode Technologies Debt-to-Asset Calculation

Debt to Asset measures the financial leverage a company has.

Sancode 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
	=	(0.008	+	13.814)	/	86.704
	=	0.16

Sancode Technologies's Debt-to-Asset for the quarter 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
	=	(0.008	+	13.814)	/	86.704
	=	0.16

Sancode Technologies (BOM:543897) 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.

Sancode Technologies Debt-to-Asset Related Terms

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Sancode Technologies (BOM:543897) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Industrials » Business Services » Sancode Technologies Ltd (BOM:543897) » Definitions » Debt-to-Asset

Comparable Companies

Traded in Other Exchanges

N/A

Address

B.M. Road, Opposite Elphinstone Station, 107, Prime Plaza, J.V. Patel Compound, Mumbai, MH, IND, 400013

Website

https://www.sancodetech.com

Sancode Technologies Ltd provides management consultancy services and ancillary services to startups and other entities. The firm's entire business falls under one segment namely Management consultancy services. It engages in software and product Digital transformation. Workflow automation., Artificial intelligence (AI), and Machine learning (ML). Robotic Process Automation (RPA) and Data Analytics, Metaverse, Web3 applications, and System Integration. development offering an API-enabled platform and solutions that enable organizations to adopt powerful technology applications addressing their strategic business needs rapidly.

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