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Palladyne AI (Palladyne AI) Debt-to-EBITDA : -0.21 (As of Dec. 2023)


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What is Palladyne AI Debt-to-EBITDA?

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

Palladyne AI's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $1.36 Mil. Palladyne AI's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $11.04 Mil. Palladyne AI's annualized EBITDA for the quarter that ended in Dec. 2023 was $-59.12 Mil. Palladyne AI's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was -0.21.

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 Palladyne AI's Debt-to-EBITDA or its related term are showing as below:

PDYN' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -0.16   Med: -0.13   Max: -0.13
Current: -0.16

During the past 4 years, the highest Debt-to-EBITDA Ratio of Palladyne AI was -0.13. The lowest was -0.16. And the median was -0.13.

PDYN's Debt-to-EBITDA is ranked worse than
100% of 1601 companies
in the Software industry
Industry Median: 1.04 vs PDYN: -0.16

Palladyne AI Debt-to-EBITDA Historical Data

The historical data trend for Palladyne AI'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.

Palladyne AI Debt-to-EBITDA Chart

Palladyne AI Annual Data
Trend Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
-0.13 - -0.13 -0.16

Palladyne AI Quarterly Data
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 -0.14 -0.15 -0.14 -0.17 -0.21

Competitive Comparison of Palladyne AI's Debt-to-EBITDA

For the Software - Infrastructure subindustry, Palladyne AI'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.


Palladyne AI's Debt-to-EBITDA Distribution in the Software Industry

For the Software industry and Technology sector, Palladyne AI's Debt-to-EBITDA distribution charts can be found below:

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



Palladyne AI Debt-to-EBITDA Calculation

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

Palladyne AI'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
=(1.36 + 11.036) / -78.635
=-0.16

Palladyne AI'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
=(1.36 + 11.036) / -59.12
=-0.21

* 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.


Palladyne AI  (NAS:PDYN) 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.


Palladyne AI Debt-to-EBITDA Related Terms

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


Palladyne AI (Palladyne AI) Business Description

Traded in Other Exchanges
N/A
Address
650 South 500 West, Suite 150, Salt Lake City, UT, USA, 84101
Sarcos Technology & Robotics Corp designs, develops and manufactures a broad range of advanced mobile robotic systems that redefine human possibilities and are designed to enable the safest, most productive workforce in the world. The company operates in challenging, unstructured industrial environments and includes teleoperated robotic systems, a powered robotic exoskeleton, and software solutions that enable task autonomy.
Executives
Brian D Finn director C/O BLACKROCK KELSO CAPITAL CORPORATION, 40 EAST 52ND STREET, NEW YORK NY 10022
Matthew Vogt officer: Chief Revenue Officer C/O SARCOS TECHNOLOGY AND ROBOTICS CORP, 650 SOUTH 500 WEST, SUITE 150, SALT LAKE CITY UT 84101
Stephen Sonne officer: Chief Legal Officer C/O SARCOS TECHNOLOGY & ROBOTICS CORP, 650 SOUTH 500 WEST, SUITE 150, SALT LAKE CITY UT 84101
Denis Garagic officer: Chief Technology Officer 650 SOUTH 500 WEST, SALT LAKE CITY UT 84101
Andrew Hamer officer: Chief Financial Officer 777 MARINERS ISLAND BLVD, SAN MATEO CA 94404
Jorgen Pedersen officer: Chief Operating Officer 650 SOUTH 500 WEST, SUITE 150, SALT LAKE CITY UT 84101
Kiva A. Allgood director, officer: President & CEO C/O SYNAPTICS INCORPORATED, 1251 MCKAY DRIVE, SAN JOSE CA 95131
Fraser Smith 10 percent owner, officer: Chief Innovation Officer 360 WAKARA WAY, SALT LAKE CITY UT 84108
Marc Olivier 10 percent owner 360 WAKARA WAY, SALT LAKE CITY UT 84108
Steven Q. Hansen officer: Chief Financial Officer 360 WAKARA WAY, SALT LAKE CITY UT 84108
Matthew Shigenobu Muta director 360 WAKARA WAY, SALT LAKE CITY UT 84108
Priya Balasubramaniam director 360 WAKARA WAY, SALT LAKE CITY UT 84108
Kristi Martindale officer: EVP, Ch. Product & Market Off 360 WAKARA WAY, SALT LAKE CITY UT 84108
Marian Joh officer: Chief Operating Officer 360 WAKARA WAY, SALT LAKE CITY UT 84108
Peter S Klein director C/O MICROSOFT CORPORATION, ONE MICROSOFT WAY, REDMOND WA 98052-6399