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Super X AI Technology's earnings before interest and taxes (EBIT) for the
six
months ended in Dec. 2025 was $-49.18 Mil.
Its earnings before interest and taxes (EBIT) for the trailing twelve months (TTM) ended in Dec. 2025 was $-54.93 Mil.
EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition.
Super X AI Technology's annualizedROC % for the quarter that ended in Dec. 2025 was -508.90%.
Super X AI Technology's annualizedROC (Joel Greenblatt) % for the quarter that ended in Dec. 2025 was -2,716.16%.
EBIT is also linked to Joel Greenblatt's definition of earnings yield.
Super X AI Technology's Earnings Yield (Joel Greenblatt) % for the quarter that ended in Dec. 2025 was -41.04%.
Super X AI Technology (NAS:SUPX) EBIT Explanation
1. EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition.
Super X AI Technology's annualizedROC % for the quarter that ended in Dec. 2025 is calculated as:
* 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 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 Software - Infrastructure subindustry, Super X AI Technology's EV-to-EBIT, along with its competitors' market caps and EV-to-EBIT 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.
Super X AI Technology EV-to-EBIT vs Software Industry
For the Software industry and Technology sector, Super X AI Technology's EV-to-EBIT distribution charts can be found below:
* The bar in red indicates where Super X AI Technology's EV-to-EBIT falls into.
EBIT, sometimes also called Earnings Before Interest and Taxes, is a measure of a firm's profit that includes all expenses except interest and income tax expenses. It is the difference between operating revenues and operating expenses. When a firm does not have non-operating income, then Operating Income is sometimes used as a synonym for EBIT and operating profit.
EBIT for the trailing twelve months (TTM) ended in Dec. 2025 adds up the semi-annually data reported by the company within the most recent 12 months, which was $-54.93 Mil.
* 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.
Super X AI Technology (SUPX) has a EBIT of $-54.93 Mil as of Dec. 2025. Earnings before interest and taxes is the difference between operating revenue and operating expenses. View historical data on Super X AI Technology.
Is Super X AI Technology's EBIT too high?
Super X AI Technology's current EBIT is $-54.93 Mil. Overall, Super X AI Technology has a GF Score™ of 18/100, reflecting its overall financial health beyond just this single metric.
How does Super X AI Technology's EBIT compare to TLS and XNET?
Super X AI Technology's EBIT of $-54.93 Mil can be compared against companies in the Software industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good EBIT for a Software company?
A good EBIT depends on the Software industry context. However, EBIT 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 EBIT mean?
A high EBIT can signal that a stock is expensive relative to its fundamentals. Earnings before interest and taxes is the difference between operating revenue and operating expenses. View historical data on Super X AI Technology. Super X AI Technology's current EBIT is $-54.93 Mil. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Super X AI Technology stock overvalued right now?
Super X AI Technology (SUPX) has a current EBIT of $-54.93 Mil. The current EBIT is $-54.93 Mil. Super X AI Technology's overall GF Score™ is 18/100 with 5 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is EBIT calculated?
EBIT is calculated from a company's financial statements. For Super X AI Technology (SUPX), the current EBIT is $-54.93 Mil as of Dec. 2025. 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.
Super X AI Technology Ltd is an AI infrastructure solutions provider. Through its subsidiaries, SuperX offers a comprehensive portfolio of proprietary hardware, advanced software, and end-to-end services for AI data centers. The Company's services include advanced solution design and planning, cost-effective infrastructure product integration, and end-to-end operations and maintenance. Its core products include high-performance AI servers, High-Voltage Direct Current (HVDC) solutions, high-density liquid cooling solutions, as well as AI cloud and AI agents. The Company serves institutional clients globally, including enterprises, research institutions, and cloud and edge computing deployments.
18GF Score
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