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Perimeter Medical Imaging AI (FRA:4PC) Debt-to-EBITDA : -0.02 (As of Mar. 2024)


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What is Perimeter Medical Imaging AI Debt-to-EBITDA?

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

Perimeter Medical Imaging AI's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was €0.05 Mil. Perimeter Medical Imaging AI's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Mar. 2024 was €0.12 Mil. Perimeter Medical Imaging AI's annualized EBITDA for the quarter that ended in Mar. 2024 was €-7.21 Mil. Perimeter Medical Imaging AI's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2024 was -0.02.

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

FRA:4PC' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -1.4   Med: -0.04   Max: -0.02
Current: -0.02

During the past 5 years, the highest Debt-to-EBITDA Ratio of Perimeter Medical Imaging AI was -0.02. The lowest was -1.40. And the median was -0.04.

FRA:4PC's Debt-to-EBITDA is ranked worse than
100% of 437 companies
in the Medical Devices & Instruments industry
Industry Median: 1.26 vs FRA:4PC: -0.02

Perimeter Medical Imaging AI Debt-to-EBITDA Historical Data

The historical data trend for Perimeter Medical Imaging 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.

Perimeter Medical Imaging AI Debt-to-EBITDA Chart

Perimeter Medical Imaging AI Annual Data
Trend Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
-1.40 -0.07 -0.03 -0.04 -0.02

Perimeter Medical Imaging AI Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
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 Premium Member Only Premium Member Only -0.03 -0.02 -0.45 -0.01 -0.02

Competitive Comparison of Perimeter Medical Imaging AI's Debt-to-EBITDA

For the Medical Devices subindustry, Perimeter Medical Imaging 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.


Perimeter Medical Imaging AI's Debt-to-EBITDA Distribution in the Medical Devices & Instruments Industry

For the Medical Devices & Instruments industry and Healthcare sector, Perimeter Medical Imaging AI's Debt-to-EBITDA distribution charts can be found below:

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



Perimeter Medical Imaging AI Debt-to-EBITDA Calculation

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

Perimeter Medical Imaging 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
=(0.047 + 0.13) / -12.175
=-0.01

Perimeter Medical Imaging AI's annualized Debt-to-EBITDA for the quarter that ended in Mar. 2024 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(0.046 + 0.119) / -7.208
=-0.02

* 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 (Mar. 2024) EBITDA data.


Perimeter Medical Imaging AI  (FRA:4PC) 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.


Perimeter Medical Imaging AI Debt-to-EBITDA Related Terms

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


Perimeter Medical Imaging AI (FRA:4PC) Business Description

Traded in Other Exchanges
Address
8585 N. Stemmons Freeway, Suite 106N, Dallas, TX, USA, 75247
Perimeter Medical Imaging AI Inc is a medical technology company driven to transform cancer surgery with ultra-high-resolution, real-time, advanced imaging tools to address high unmet medical needs. The company is developing, with plans to commercialize, advanced imaging tools that allow surgeons, radiologists, and pathologists to visualize microscopic tissue structures during a clinical procedure.

Perimeter Medical Imaging AI (FRA:4PC) Headlines

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