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Innoviz Technologies (Innoviz Technologies) Debt-to-EBITDA : -0.29 (As of Dec. 2023)


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What is Innoviz Technologies Debt-to-EBITDA?

Debt-to-EBITDA measures a company's ability to pay off its debt.

Innoviz Technologies's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $4.03 Mil. Innoviz Technologies's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $28.48 Mil. Innoviz Technologies's annualized EBITDA for the quarter that ended in Dec. 2023 was $-111.40 Mil. Innoviz Technologies's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was -0.29.

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt. According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.

The historical rank and industry rank for Innoviz Technologies's Debt-to-EBITDA or its related term are showing as below:

INVZ' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -0.27   Med: -0.15   Max: -0.03
Current: -0.26

During the past 6 years, the highest Debt-to-EBITDA Ratio of Innoviz Technologies was -0.03. The lowest was -0.27. And the median was -0.15.

INVZ's Debt-to-EBITDA is ranked worse than
100% of 1048 companies
in the Vehicles & Parts industry
Industry Median: 2.39 vs INVZ: -0.26

Innoviz Technologies Debt-to-EBITDA Historical Data

The historical data trend for Innoviz Technologies's Debt-to-EBITDA 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.

Innoviz Technologies Debt-to-EBITDA Chart

Innoviz Technologies Annual Data
Trend Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
Get a 7-Day Free Trial -0.04 -0.03 - -0.27 -0.26

Innoviz Technologies Quarterly Data
Dec18 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Debt-to-EBITDA Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -0.25 -0.24 -0.26 -0.28 -0.29

Competitive Comparison of Innoviz Technologies's Debt-to-EBITDA

For the Auto Parts subindustry, Innoviz Technologies's Debt-to-EBITDA, along with its competitors' market caps and Debt-to-EBITDA 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.


Innoviz Technologies's Debt-to-EBITDA Distribution in the Vehicles & Parts Industry

For the Vehicles & Parts industry and Consumer Cyclical sector, Innoviz Technologies's Debt-to-EBITDA distribution charts can be found below:

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



Innoviz Technologies Debt-to-EBITDA Calculation

Debt-to-EBITDA measures a company's ability to pay off its debt.

Innoviz Technologies's Debt-to-EBITDA for the fiscal year that ended in Dec. 2023 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(4.034 + 28.475) / -123.41
=-0.26

Innoviz Technologies's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(4.034 + 28.475) / -111.404
=-0.29

* 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.

In the calculation of annual Debt-to-EBITDA, the EBITDA of the last fiscal year is used. In calculating the annualized quarterly data, the EBITDA data used here is four times the quarterly (Dec. 2023) EBITDA data.


Innoviz Technologies  (NAS:INVZ) Debt-to-EBITDA Explanation

In the calculation of Debt-to-EBITDA, we use the total of Short-Term Debt & Capital Lease Obligation and Long-Term Debt & Capital Lease Obligation divided by EBITDA. In some calculations, Total Liabilities is used to for calculation.


Be Aware

A high Debt-to-EBITDA ratio generally means that a company may spend more time to paying off its debt.

According to Joel Tillinghast's BIG MONEY THINKS SMALL: Biases, Blind Spots, and Smarter Investing, a ratio of Debt-to-EBITDA exceeding four is usually considered scary unless tangible assets cover the debt.


Innoviz Technologies Debt-to-EBITDA Related Terms

Thank you for viewing the detailed overview of Innoviz Technologies's Debt-to-EBITDA provided by GuruFocus.com. Please click on the following links to see related term pages.


Innoviz Technologies (Innoviz Technologies) Business Description

Traded in Other Exchanges
N/A
Address
5 Uri Ariav street, Building C, Nitzba 300, Rosh HaAin, ISR, 4809202
Innoviz Technologies Ltd is a provider of solid-state LiDAR and perception solutions that feature technological breakthroughs across core components and bring enhanced vision and superior performance to enable safe autonomous driving at a mass scale. The company provides a complete and comprehensive solution for OEMs and Tier-1 partners that are developing and marketing autonomous driving vehicles to the passenger car and other relevant markets, such as robotaxis, shuttles, delivery vehicles, buses and trucks, and other industries that require 3-dimensional high resolution sensors. Company's solutions can enable safe autonomy for industries like logistics, drones, robotics, construction and other industrial applications, agriculture, smart city, smart infrastructures, security and mapping.