GURUFOCUS.COM » STOCK LIST » Technology » Software » Seeing Machines Ltd (LSE:SEE) » Definitions » Debt-to-EBITDA

Seeing Machines (LSE:SEE) Debt-to-EBITDA : -1.41 (As of Dec. 2023)


View and export this data going back to 2005. Start your Free Trial

What is Seeing Machines Debt-to-EBITDA?

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

Seeing Machines's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was £0.43 Mil. Seeing Machines's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was £25.11 Mil. Seeing Machines's annualized EBITDA for the quarter that ended in Dec. 2023 was £-18.12 Mil. Seeing Machines's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was -1.41.

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 Seeing Machines's Debt-to-EBITDA or its related term are showing as below:

LSE:SEE' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -3.32   Med: -0.2   Max: -0.02
Current: -1.45

During the past 13 years, the highest Debt-to-EBITDA Ratio of Seeing Machines was -0.02. The lowest was -3.32. And the median was -0.20.

LSE:SEE's Debt-to-EBITDA is ranked worse than
100% of 1602 companies
in the Software industry
Industry Median: 1.06 vs LSE:SEE: -1.45

Seeing Machines Debt-to-EBITDA Historical Data

The historical data trend for Seeing Machines'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.

Seeing Machines Debt-to-EBITDA Chart

Seeing Machines Annual Data
Trend Jun14 Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only Premium Member Only -0.19 -0.15 -0.38 -0.20 -3.32

Seeing Machines Semi-Annual Data
Jun14 Dec14 Jun15 Dec15 Jun16 Dec16 Jun17 Dec17 Jun18 Dec18 Jun19 Dec19 Jun20 Dec20 Jun21 Dec21 Jun22 Dec22 Jun23 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 Premium Member Only Premium Member Only -0.29 -0.16 -3.63 -2.04 -1.41

Competitive Comparison of Seeing Machines's Debt-to-EBITDA

For the Software - Infrastructure subindustry, Seeing Machines'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.


Seeing Machines's Debt-to-EBITDA Distribution in the Software Industry

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

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



Seeing Machines Debt-to-EBITDA Calculation

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

Seeing Machines's Debt-to-EBITDA for the fiscal year that ended in Jun. 2023 is calculated as

Debt-to-EBITDA=Total Debt / EBITDA
=(Short-Term Debt & Capital Lease Obligation + Long-Term Debt & Capital Lease Obligation) / EBITDA
=(0.569 + 34.142) / -10.446
=-3.32

Seeing Machines'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
=(0.425 + 25.107) / -18.122
=-1.41

* 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 two times the quarterly (Dec. 2023) EBITDA data.


Seeing Machines  (LSE:SEE) 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.


Seeing Machines Debt-to-EBITDA Related Terms

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


Seeing Machines (LSE:SEE) Business Description

Traded in Other Exchanges
Address
80 Mildura Street, Fyshwick, Canberra, ACT, AUS, 2609
Seeing Machines Ltd develops and sells driver monitoring technology. It specializes in computer vision algorithms that precisely track eye gaze, head position, and pupil size. The company's operating segment includes OEM; Aftermarket and Other. It generates maximum revenue from the Aftermarket segment. Geographically, it derives a majority of revenue from North America and also has a presence in Australia; Asia-Pacific; Europe, and Other Countries.