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Hyperscale DataGPUS +3.84%23 Debt-to-EBITDA is -1.71 as of Mar. 2026. GuruFocus rates GPUS with a GF Score™ of 23/100 and a GF Value™ of $0.04 (Significantly Overvalued). The stock has 8 warning signs investors should review. Among 460 Conglomerates companies, Hyperscale Data ranks worse than 217391.09% 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 Hyperscale Data's Debt-to-EBITDA or its related term are showing as below:
GPUS'
s Debt-to-EBITDA Range Over the Past 10 Years
Min: -6.66 Med: -0.72 Max: -0.27
Current: -2.27
During the past 13 years, the highest Debt-to-EBITDA Ratio of Hyperscale Data was -0.27. The lowest was -6.66. And the median was -0.72.
GPUS's Debt-to-EBITDA is ranked worse than 100% of 460
companies
in the Conglomerates industry
Industry Median: 2.76
vs GPUS: -2.27
Hyperscale Data (AMEX:GPUS) Debt-to-EBITDA Explanation
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.
Hyperscale Data Debt-to-EBITDA Related Terms
Hyperscale Data Debt-to-EBITDA Historical Data
* Premium members only.
The historical data trend for Hyperscale Data'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.
GPUS vs SPAI, OPXS, PEW: Debt-to-EBITDA Comparison
For the Conglomerates subindustry, Hyperscale Data'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.
Hyperscale Data Debt-to-EBITDA vs Conglomerates Industry
For the Conglomerates industry and Industrials sector, Hyperscale Data's Debt-to-EBITDA distribution charts can be found below:
* The bar in red indicates where Hyperscale Data'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 (Mar. 2026) EBITDA data.
Hyperscale Data (GPUS) has a Debt-to-EBITDA of -1.71 as of Mar. 2026. Debt-to-EBITDA ratio represents the ratio of total debt to total earnings before interest, taxes, depreciation and amortization. View historical data on Hyperscale Data. According to the industry distribution chart, Hyperscale Data ranks #999999 out of 460 companies in the Conglomerates industry.
Is Hyperscale Data's Debt-to-EBITDA too high?
Hyperscale Data's current Debt-to-EBITDA is -1.71. Based on the distribution chart, Hyperscale Data ranks #999999 out of 460 companies in the Conglomerates industry, which is in the bottom quartile relative to peers. Overall, Hyperscale Data has a GF Score™ of 23/100 and is considered Significantly Overvalued, reflecting its overall financial health beyond just this single metric.
How does Hyperscale Data's Debt-to-EBITDA compare to SPAI and OPXS?
According to the Conglomerates industry distribution chart, Hyperscale Data ranks #999999 out of 460 companies for Debt-to-EBITDA. This places Hyperscale Data in the lower half of its industry. The industry median Debt-to-EBITDA is 2.76. 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 Conglomerates company?
The median Debt-to-EBITDA among Conglomerates companies is 2.76, based on 460 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. 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 Hyperscale Data. For the Conglomerates industry, the median Debt-to-EBITDA is 2.76 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Hyperscale Data's current Debt-to-EBITDA is -1.71. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Hyperscale Data stock overvalued right now?
Based on GuruFocus' analysis, Hyperscale Data (GPUS) is currently considered Significantly Overvalued. The stock's GF Value™ is $0.04, compared to a current price of $0.13 — trading 231% above its estimated fair value. The current Debt-to-EBITDA is -1.71. Hyperscale Data's overall GF Score™ is 23/100 with 8 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 Hyperscale Data (GPUS), the current Debt-to-EBITDA is -1.71 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.
Is Hyperscale Data (GPUS) Overvalued in 2026?
Based on GuruFocus' analysis, Hyperscale Data stock appears to be overvalued.
The current stock price of $0.13 is trading 231% above its estimated GF Value™ of $0.04.
GuruFocus considers Hyperscale Data to be Significantly Overvalued.
Key valuation signals for GPUS:
Debt-to-EBITDA: -1.71
GF Value™: $0.04 vs. price of $0.13 (231% above fair value)
No single metric tells the full story. See the GPUS stock analysis page for a complete view including 30-year financials, guru trades, and insider activity.
Hyperscale Data Inc is a diversified holding company. The company operates a data center at which it mines Bitcoin and provides mission-critical products that support a diverse range of industries, including oil exploration, crane services, defense/aerospace, industrial, automotive, medical/biopharma, consumer electronics, hotel operations and textiles. The company has reportable segments that includes Gresham; TurnOnGreen; Fintech; Sentinum; AGREE; Energy; and ROI. The company generates maximum revenue from Energy segment that include crane rental and lifting solutions provider for oilfield, construction, commercial and infrastructure markets through Circle.
23GF Score
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