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Advanced Micro Devices (Advanced Micro Devices) Debt-to-EBITDA : 0.62 (As of Dec. 2023)


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What is Advanced Micro Devices Debt-to-EBITDA?

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

Advanced Micro Devices's Short-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $751 Mil. Advanced Micro Devices's Long-Term Debt & Capital Lease Obligation for the quarter that ended in Dec. 2023 was $2,252 Mil. Advanced Micro Devices's annualized EBITDA for the quarter that ended in Dec. 2023 was $4,860 Mil. Advanced Micro Devices's annualized Debt-to-EBITDA for the quarter that ended in Dec. 2023 was 0.62.

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 Advanced Micro Devices's Debt-to-EBITDA or its related term are showing as below:

AMD' s Debt-to-EBITDA Range Over the Past 10 Years
Min: -122.89   Med: 0.42   Max: 5.32
Current: 0.72

During the past 13 years, the highest Debt-to-EBITDA Ratio of Advanced Micro Devices was 5.32. The lowest was -122.89. And the median was 0.42.

AMD's Debt-to-EBITDA is ranked better than
64.79% of 710 companies
in the Semiconductors industry
Industry Median: 1.59 vs AMD: 0.72

Advanced Micro Devices Debt-to-EBITDA Historical Data

The historical data trend for Advanced Micro Devices'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.

Advanced Micro Devices Debt-to-EBITDA Chart

Advanced Micro Devices 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 0.95 0.32 0.16 0.52 0.72

Advanced Micro Devices 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 0.64 0.79 0.80 0.63 0.62

Competitive Comparison of Advanced Micro Devices's Debt-to-EBITDA

For the Semiconductors subindustry, Advanced Micro Devices'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.


Advanced Micro Devices's Debt-to-EBITDA Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, Advanced Micro Devices's Debt-to-EBITDA distribution charts can be found below:

* The bar in red indicates where Advanced Micro Devices's Debt-to-EBITDA falls into.



Advanced Micro Devices Debt-to-EBITDA Calculation

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

Advanced Micro Devices'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
=(751 + 2252) / 4149
=0.72

Advanced Micro Devices'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
=(751 + 2252) / 4860
=0.62

* 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.


Advanced Micro Devices  (NAS:AMD) 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.


Advanced Micro Devices Debt-to-EBITDA Related Terms

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


Advanced Micro Devices (Advanced Micro Devices) Business Description

Address
2485 Augustine Drive, Santa Clara, CA, USA, 95054
Advanced Micro Devices designs a variety of digital semiconductors for markets such as PCs, gaming consoles, data centers, industrial, and automotive applications, among others. AMD's traditional strength was in central processing units, CPUs, and graphics processing units, or GPUs, used in PCs and data centers. Additionally, the firm supplies the chips found in prominent game consoles such as the Sony PlayStation and Microsoft Xbox. In 2022, the firm acquired field-programmable gate array, or FPGA, leader Xilinx to diversify its business and augment its opportunities in key end markets such as the data center and automotive.
Executives
Darla M Smith other: Chief Accounting Officer 2485 AUGUSTINE DRIVE, SANTA CLARA CA 95054
Lisa T Su officer: SVP, GM Global Business Units C/O ADVANCED MICRO DEVICES, INC., 2485 AUGUSTINE DRIVE, SANTA CLARA CA 95054
Paul Darren Grasby officer: SVP & CSO, President EMEA 2485 AUGUSTINE DRIVE, SANTA CLARA CA 95054
Philip Guido officer: EVP & Chief Commercial Officer 2485 AUGUSTINE DRIVE, SANTA CLARA CA 95054
Mark D Papermaster officer: SVP & Chief Technology Officer ONE AMD PLACE, SUNNYVALE CA 94088
Victor Peng officer: President, AECG MIPS TECHNOLOGIES INC, 1225 CHARLESTON ROAD, MOUNTAIN VIEW CA 94043
Harry A Wolin officer: SVP & GC ONE AMD PLACE, SUNNYVALE CA 94088
Forrest Eugene Norrod officer: SVP & GM EESC 9507 GLENLAKE DRIVE, AUSTIN TX 78730
Jack M Huynh officer: SVP & GM, Computing & Graphics 2485 AUGUSTINE DRIVE, SANTA CLARA CA 95054
Devinder Kumar officer: SVP, CFO & Treasurer ONE AMD PLACE, MS 68, SUNNYVALE CA 94088
Rick Bergman other: SR VP & GM GPG C/O ADVANCED MICRO DEVICES, INC., 2485 AUGUSTINE DRIVE, SANTA CLARA CA 95054
Jean X. Hu officer: EVP, CFO and Treasurer 2485 AUGUSTINE DRIVE, SANTA CLARA CA 95054
Jon A Olson director 2100 LOGIC DRIVE, SAN JOSE CA 95124
Elizabeth W Vanderslice director C/O XILINX INC, 2100 LOGIC DRIVE, SAN JOSE CA 95124
John Edward Caldwell director ONE AMD PLACE, MS 68, SUNNYVALE CA 94088