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SS Innovations International (SS Innovations International) Debt-to-EBITDA : -0.13 (As of Dec. 2023)


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What is SS Innovations International Debt-to-EBITDA?

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

SS Innovations International's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $6.31 Mil. SS Innovations International's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $1.91 Mil. SS Innovations International's annualized EBITDA for the quarter that ended in Dec. 2023 was $-63.12 Mil. SS Innovations International's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was -0.13.

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 SS Innovations International's Debt-to-EBITDA or its related term are showing as below:

SSII' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -1.93   Med: -0.18   Max: -0.03
Current: -0.39

During the past 8 years, the highest Debt-to-EBITDA Ratio of SS Innovations International was -0.03. The lowest was -1.93. And the median was -0.18.

SSII's Debt-to-EBITDA is ranked worse than
100% of 431 companies
in the Medical Devices & Instruments industry
Industry Median: 1.21 vs SSII: -0.39

SS Innovations International Debt-to-EBITDA Historical Data

The historical data trend for SS Innovations International'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.

SS Innovations International Debt-to-EBITDA Chart

SS Innovations International Annual Data
Trend Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Debt-to-EBITDA
Get a 7-Day Free Trial -0.14 -0.18 -0.10 -1.93 -0.41

SS Innovations International 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 -0.62 -0.65 -1.07 -0.78 -0.13

Competitive Comparison of SS Innovations International's Debt-to-EBITDA

For the Medical Devices subindustry, SS Innovations International'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.


SS Innovations International's Debt-to-EBITDA Distribution in the Medical Devices & Instruments Industry

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

* The bar in red indicates where SS Innovations International's Debt-to-EBITDA falls into.



SS Innovations International Debt-to-EBITDA Calculation

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

SS Innovations International'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
=(6.308 + 1.91) / -20.256
=-0.41

SS Innovations International'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
=(6.308 + 1.91) / -63.124
=-0.13

* 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.


SS Innovations International  (OTCPK:SSII) 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.


SS Innovations International Debt-to-EBITDA Related Terms

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


SS Innovations International (SS Innovations International) Business Description

Traded in Other Exchanges
N/A
Address
1500 SE 15th Street, Suite 512, Fort Lauderdale, FL, USA, 33316
SS Innovations International Inc, formerly Avra Medical Robotics Inc develops medical-surgical devices. It invests in four areas including surgical robotic systems, surgical tools, implantable devices, and surgical robotic training. It is a medical robotics company developing a fully autonomous medical robotic system using proprietary software which integrates Artificial Intelligence and Deep Learning, or machine learning. By using an AI and DL-enhanced software program, the company is creating an intelligent robotic system that it believes can robotize a wide range of medical procedures currently being performed by human hands.
Executives
Barry F Cohen director, officer: COO 1600 SOUTHEAST 15TH STREET, APT 512, FORT LAUDERDALE FL 33316
Sudhir Srivastava director, 10 percent owner, officer: Chairman and CEO C/O AVRA SURGICAL ROBOTICS, ONE LIBERTY PLAZA, 35TH FLOOR, NEW YORK NY 10006
Kumar Sethi Anup officer: Chief Financial Officer C-102, DREAM APARTMENTS,, PLOT-14, SECTOR 22, DWARKA, NEW DEHLI K7 110077
Pascual Srivastava Vishwajyoti officer: President 28 HAARBAA, TRIAVENI GARDENS COMPLEX, GADAIPUR MEHRA, NEW DEHLI K7 110030
Sampige Prasannakumar Somashekar director APT 9J, NEST NO 8, 303 LG HALFI, RMV II, BANGALORE K7 560094
Annadurai Mylswamy director #344, NTI LAYOUT, 10TH MAIN, VIDHYARANYAPURA, BANGALORE K7 560067