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NVIDIANVDA -2.21%95 Debt-to-EBITDA is 0.04 as of Apr. 2026, which is 94% below its 10-year median of 0.68. GuruFocus rates NVDA with a GF Score™ of 95/100 and a GF Value™ of $362.56 (Possible Value Trap). The stock has 4 warning signs investors should review. Among 722 Semiconductors companies, NVIDIA ranks better than 88.37% on this metric.
Debt-to-EBITDA measures a company's ability to pay off its debt.
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 NVIDIA's Debt-to-EBITDA or its related term are showing as below:
NVDA'
s Debt-to-EBITDA Range Over the Past 10 Years
Min: 0.06 Med: 0.68 Max: 2.01
Current: 0.06
During the past 13 years, the highest Debt-to-EBITDA Ratio of NVIDIA was 2.01. The lowest was 0.06. And the median was 0.68.
NVDA's Debt-to-EBITDA is ranked better than 88.37% of 722
companies
in the Semiconductors industry
Industry Median: 1.445
vs NVDA: 0.06
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.
NVIDIA Debt-to-EBITDA Related Terms
NVIDIA Debt-to-EBITDA Historical Data
* Premium members only.
The historical data trend for NVIDIA'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.
For the Semiconductors subindustry, NVIDIA'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.
NVIDIA Debt-to-EBITDA vs Semiconductors Industry
For the Semiconductors industry and Technology sector, NVIDIA's Debt-to-EBITDA distribution charts can be found below:
* The bar in red indicates where NVIDIA's Debt-to-EBITDA falls into.
* 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 (Apr. 2026) EBITDA data.
NVIDIA (NVDA) has a Debt-to-EBITDA of 0.04 as of Apr. 2026. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on NVIDIA. This is 94% below median its historical median of 0.68. Over the past decade, NVIDIA's Debt-to-EBITDA has ranged from 0.06 to 2.01. According to the industry distribution chart, NVIDIA ranks #84 out of 722 companies in the Semiconductors industry, placing it in the top 11.6%.
Is NVIDIA's Debt-to-EBITDA too high?
NVIDIA's current Debt-to-EBITDA of 0.04 is 94% below median its 10-year median of 0.68. Over the past 10 years, this metric has ranged from a low of 0.06 to a high of 2.01. The Semiconductors industry median Debt-to-EBITDA is 1.45. NVIDIA's value of 0.04 is 97.2% below this industry median. Based on the distribution chart, NVIDIA ranks #84 out of 722 companies in the Semiconductors industry, which is in the top quartile — a strong position relative to peers. Overall, NVIDIA has a GF Score™ of 95/100 and is considered Possible Value Trap, reflecting its overall financial health beyond just this single metric.
How does NVIDIA's Debt-to-EBITDA compare to AVGO and MU?
According to the Semiconductors industry distribution chart, NVIDIA ranks #84 out of 722 companies for Debt-to-EBITDA. This places NVIDIA in the top 12% of its industry — outperforming the majority of peers. The industry median Debt-to-EBITDA is 1.45. NVIDIA's value of 0.04 is 97.2% below this benchmark. Historically, NVIDIA's own Debt-to-EBITDA has ranged from 0.06 to 2.01 over the past decade. While the company's 10-year median is 0.68 vs. the industry median of 1.45, NVIDIA has consistently been below the industry average. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Debt-to-EBITDA for a Semiconductors company?
The median Debt-to-EBITDA among Semiconductors companies is 1.45, based on 722 companies in the industry. Companies in the top quartile (top 25%) have a Debt-to-EBITDA significantly above this median, while those in the bottom quartile fall well below. However, Debt-to-EBITDA should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. NVIDIA's current Debt-to-EBITDA of 0.04 is 97.2% below the industry median. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Debt-to-EBITDA mean?
A high Debt-to-EBITDA can signal that a stock is expensive relative to its fundamentals. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on NVIDIA. For the Semiconductors industry, the median Debt-to-EBITDA is 1.45 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. NVIDIA's current Debt-to-EBITDA is 0.04, which is 94% below median its own 10-year median of 0.68. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is NVIDIA stock overvalued right now?
Based on GuruFocus' analysis, NVIDIA (NVDA) is currently considered Possible Value Trap. The stock's GF Value™ is $362.56, compared to a current price of $202.81 — trading 44.1% below its estimated fair value. The current Debt-to-EBITDA is 0.04, which is 94% below median its 10-year median of 0.68 and 97.2% below the Semiconductors industry median of 1.45. NVIDIA's overall GF Score™ is 95/100 with 4 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Debt-to-EBITDA calculated?
Debt-to-EBITDA is calculated from a company's financial statements. For NVIDIA (NVDA), the current Debt-to-EBITDA is 0.04 as of Apr. 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.
Is NVIDIA (NVDA) Overvalued in 2026?
Based on GuruFocus' analysis, NVIDIA stock appears to be undervalued.
The current stock price of $202.81 is trading 44.1% below its estimated GF Value™ of $362.56.
GuruFocus considers NVIDIA to be Possible Value Trap.
Key valuation signals for NVDA:
Debt-to-EBITDA: 0.04 (94% below median its 10-year median of 0.68)
GF Value™: $362.56 vs. price of $202.81 (44.1% below fair value)
Industry Position: 97.2% below the Semiconductors median (#84 of 722)
No single metric tells the full story. See the NVDA stock analysis page for a complete view including 30-year financials, guru trades, and insider activity.
Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence to run large language models. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.
95GF Score
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