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Nano Dimension (Nano Dimension) Debt-to-EBITDA

: -0.49 (As of Dec. 2023)
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Debt-to-EBITDA measures a company's ability to pay off its debt.

Nano Dimension's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $4.47 Mil. Nano Dimension's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $9.34 Mil. Nano Dimension's annualized EBITDA for the quarter that ended in Dec. 2023 was $-28.29 Mil. Nano Dimension's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was -0.49.

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 Nano Dimension's Debt-to-EBITDA or its related term are showing as below:

NNDM' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -0.6   Med: -0.08   Max: -0.01
Current: -0.29

During the past 12 years, the highest Debt-to-EBITDA Ratio of Nano Dimension was -0.01. The lowest was -0.60. And the median was -0.08.

NNDM's Debt-to-EBITDA is ranked worse than
100% of 1732 companies
in the Hardware industry
Industry Median: 1.755 vs NNDM: -0.29

Nano Dimension Debt-to-EBITDA Historical Data

The historical data trend for Nano Dimension'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.

Nano Dimension Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
Get a 7-Day Free Trial Premium Member Only Premium Member Only -0.60 -0.08 -0.03 -0.08 -0.28

Nano Dimension Quarterly Data
Mar19 Jun19 Sep19 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 Premium Member Only Premium Member Only -0.04 0.11 -0.55 -0.04 -0.49

Competitive Comparison

For the Computer Hardware subindustry, Nano Dimension'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.


Nano Dimension Debt-to-EBITDA Distribution

For the Hardware industry and Technology sector, Nano Dimension's Debt-to-EBITDA distribution charts can be found below:

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



Nano Dimension Debt-to-EBITDA Calculation

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

Nano Dimension'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
=(4.473 + 9.337) / -48.577
=-0.28

Nano Dimension'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
=(4.473 + 9.337) / -28.288
=-0.49

* 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.


Nano Dimension  (NAS:NNDM) 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.


Nano Dimension Debt-to-EBITDA Related Terms

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


Nano Dimension (Nano Dimension) Business Description

Traded in Other Exchanges
Address
2 Ilan Ramon Street, Ness-Ziona Science Park, Ness Ziona, ISR, 7403635
Nano Dimension Ltd is a provider of intelligent machines for the fabrication of Additively Manufactured Electronics (AME). High-fidelity active electronic and electromechanical subassemblies are integral enablers of autonomous intelligent drones, cars, satellites, smartphones, and in vivo medical devices. It necessitates iterative development, IP safety, fast time-to-market and device performance gains, thereby mandating AME for in-house, rapid prototyping and production. Nano Dimension machines serve cross-industry needs by depositing proprietary consumable conductive and dielectric materials simultaneously, while concurrently integrating in-situ capacitors, antennas, coils, transformers and electromechanical components, to function at an unprecedented performance.