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Cerebras SystemsCBRS +3.25%10 Debt-to-Equity is -6.99 as of Mar. 2026. GuruFocus rates CBRS with a GF Score™ of 10/100. The stock has 3 warning signs investors should review. Among 907 Semiconductors companies, Cerebras Systems ranks worse than 110253.47% on this metric.
A high debt to equity ratio generally means that a company has been aggressive in financing its growth with debt. This can result in volatile earnings as a result of the additional interest expense.
The historical rank and industry rank for Cerebras Systems's Debt-to-Equity or its related term are showing as below:
CBRS'
s Debt-to-Equity Range Over the Past 10 Years
Min: -6.99 Med: -0.03 Max: 0
Current: -6.99
CBRS's Debt-to-Equity is not ranked
in the Semiconductors industry.
Industry Median: 0.26
vs CBRS: -6.99
Because a company can increase its ROE % by having more financial leverage, it is important to watch the leverage ratio when investing in high ROE % companies.
Cerebras Systems Debt-to-Equity Related Terms
Cerebras Systems Debt-to-Equity Historical Data
* Premium members only.
The historical data trend for Cerebras Systems's Debt-to-Equity 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.
CBRS vs MCHP, CRDO, ALAB: Debt-to-Equity Comparison
For the Semiconductors subindustry, Cerebras Systems's Debt-to-Equity, along with its competitors' market caps and Debt-to-Equity 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.
Cerebras Systems Debt-to-Equity vs Semiconductors Industry
For the Semiconductors industry and Technology sector, Cerebras Systems's Debt-to-Equity distribution charts can be found below:
* The bar in red indicates where Cerebras Systems's Debt-to-Equity 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.
Cerebras Systems (CBRS) has a Debt-to-Equity of -6.99 as of Mar. 2026. Debt-to-Equity ratio represents the ratio of total debt to total company equity. View historical data on Cerebras Systems and its competitors. According to the industry distribution chart, Cerebras Systems ranks #999999 out of 907 companies in the Semiconductors industry.
Is Cerebras Systems' Debt-to-Equity too high?
Cerebras Systems' current Debt-to-Equity is -6.99. Based on the distribution chart, Cerebras Systems ranks #999999 out of 907 companies in the Semiconductors industry, which is in the bottom quartile relative to peers. Overall, Cerebras Systems has a GF Score™ of 10/100, reflecting its overall financial health beyond just this single metric.
How does Cerebras Systems' Debt-to-Equity compare to MCHP and CRDO?
According to the Semiconductors industry distribution chart, Cerebras Systems ranks #999999 out of 907 companies for Debt-to-Equity. This places Cerebras Systems in the lower half of its industry. The industry median Debt-to-Equity is 0.26. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Debt-to-Equity for a Semiconductors company?
The median Debt-to-Equity among Semiconductors companies is 0.26, based on 907 companies in the industry. Companies in the top quartile (top 25%) have a Debt-to-Equity significantly above this median, while those in the bottom quartile fall well below. However, Debt-to-Equity should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Debt-to-Equity mean?
A high Debt-to-Equity can signal that a stock is expensive relative to its fundamentals. Debt-to-Equity ratio represents the ratio of total debt to total company equity. View historical data on Cerebras Systems and its competitors. For the Semiconductors industry, the median Debt-to-Equity is 0.26 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Cerebras Systems's current Debt-to-Equity is -6.99. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Cerebras Systems stock overvalued right now?
Cerebras Systems (CBRS) has a current Debt-to-Equity of -6.99. The current Debt-to-Equity is -6.99. Cerebras Systems' overall GF Score™ is 10/100 with 3 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Debt-to-Equity calculated?
Debt-to-Equity is calculated from a company's financial statements. For Cerebras Systems (CBRS), the current Debt-to-Equity is -6.99 as of Mar. 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.
Cerebras Systems Inc is an AI company. It designs the world's fastest AI infrastructure for training and inference. The company builds the world's largest semiconductor as well as the AI systems to power, cool, and feed the processors data. It develops software to link these systems together into industry-leading supercomputers that are simple to use even for the most complicated AI work, using familiar ML frameworks like PyTorch. Customers use its supercomputers to train industry-leading models. The company uses these supercomputers to run inference at speeds unobtainable from alternative commercial technologies. It delivers these AI capabilities to its customers on-premise and via the cloud. The company generates the majority of its revenue from the USA.
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