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Tata Technologies (BOM:544028) Long-Term Debt & Capital Lease Obligation : ₹2,050 Mil (As of Mar. 2024)


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What is Tata Technologies Long-Term Debt & Capital Lease Obligation?

Long-Term Debt & Capital Lease Obligation is the debt and capital lease obligation due more than 12 months in the future. Tata Technologies's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ₹2,050 Mil.

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. It is calculated as a company's Long-Term Debt & Capital Lease Obligation divides by its Total Assets. Tata Technologies's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was ₹2,050 Mil. Tata Technologies's Total Assets for the quarter that ended in Mar. 2024 was ₹55,783 Mil. Tata Technologies's LT-Debt-to-Total-Asset for the quarter that ended in Mar. 2024 was 0.04.

Tata Technologies's LT-Debt-to-Total-Asset declined from Dec. 2022 (0.04) to Mar. 2024 (0.04). It may suggest that Tata Technologies is progressively becoming less dependent on debt to grow their business.


Tata Technologies Long-Term Debt & Capital Lease Obligation Historical Data

The historical data trend for Tata Technologies's Long-Term Debt & Capital Lease Obligation 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.

* Premium members only.

Tata Technologies Long-Term Debt & Capital Lease Obligation Chart

Tata Technologies Annual Data
Trend Mar20 Mar21 Mar22 Mar23 Mar24
Long-Term Debt & Capital Lease Obligation
2,296.96 2,327.42 2,231.59 2,147.60 2,050.10

Tata Technologies Quarterly Data
Mar20 Mar21 Dec21 Mar22 Sep22 Dec22 Mar23 Sep23 Dec23 Mar24
Long-Term Debt & Capital Lease Obligation Get a 7-Day Free Trial Premium Member Only Premium Member Only 2,035.37 2,147.60 2,128.28 - 2,050.10

Tata Technologies Long-Term Debt & Capital Lease Obligation Calculation

Long-Term Debt is the debt due more than 12 months in the future. The debt can be owed to banks or bondholders. Some companies issue bonds to investors and pay interest on the bonds.

Long-Term Capital Lease Obligation represents the total liability for long-term leases lasting over one year. It's amount equal to the present value (the principal) at the beginning of the lease term less lease payments during the lease term.

The interest paid on companies' debt is reflected in the income statement as interest expense. If a company has too much debt and it cannot serve the interest payment on the debt or repay the matured debt, the company risks bankruptcy. Peter Lynch famously said: A company that does not have debt cannot go bankrupt.

A company's long term debt may have different dates of maturity and interest rates, depending on the terms.

Usually a company issues long term debt to pay for its capital expenditures. Borrowing allows the company to do things that otherwise cannot be done with only the capital it has. But debt can be risky.


Tata Technologies  (BOM:544028) Long-Term Debt & Capital Lease Obligation 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.

Tata Technologies's LT-Debt-to-Total-Asset ratio for the quarter that ended in Mar. 2024 is calculated as:

LT-Debt-to-Total-Asset (Q: Mar. 2024 )=Long-Term Debt & Capital Lease Obligation (Q: Mar. 2024 )/Total Assets (Q: Mar. 2024 )
=2050.1/55783.2
=0.04

* 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.

Buffett says that durable competitive advantages carry little to no long-term debt because the company is so profitable that even expansions or acquisitions are self financed.

We are interested in long term debt load for the last ten years. If the ten years of operation show little to no long term debt, then the company has some kind of strong competitive advantage.

Warren Buffett's historic purchases indicate that on any given year, the company should have sufficient yearly net earnings to pay all long term within 3 or 4 year earnings period. (e.g. Coke + Moody's = 1yr)

Companies with enough earning power to pay long term debt in less than 3 or 4 years is a good candidate in our search for long term competitive advantage.

BUT, these companies are targets for leveraged buy outs, which saddles the business with long term debt.

If all else indicates the company has a moat, but it has ton of debt, a leveraged buyout may have created the debt. In these cases the company's bonds offer the better bet, in that the company’s earnings power is focused on paying off the debt and not growth.

Important: little or no long term debt often means a Good Long Term Bet


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Tata Technologies (BOM:544028) Business Description

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Tata Technologies Ltd is a engineering services company offering product development and digital solutions, including turnkey solutions, to original equipment manufacturers (OEMs) and their tier-1 suppliers. It endeavors to create value for its clients by helping them develop safer products, and cleaner and improve the quality of life for their end-customers. It has deep domain expertise in the automotive industry and leverages this expertise to serve its clients in adjacent industries, such as aerospace and transportation and construction heavy machinery. As an organization, it brings together diverse teams from different parts of the world with multiple skill sets to collaborate in real time and solve complex engineering problems for its clients.

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