VSTCQ (Vision Technology) EV-to-EBITDA: (As of Jul. 22, 2026)

Author: Vera Yuan Vera Yuan
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Director of Data and Quant Analytics at GuruFocus
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What is Vision Technology EV-to-EBITDA?

EV-to-EBITDA is calculated as enterprise value divided by its EBITDA. As of today, Vision Technology's enterprise value is $0.00 Mil. Vision Technology does not have enough years/quarters to calculate its EBITDA for the trailing twelve months (TTM) ended in . 20. Therefore, GuruFocus does not calculate Vision Technology's EV-to-EBITDA at this moment.

The historical rank and industry rank for Vision Technology's EV-to-EBITDA or its related term are showing as below:

VSTCQ's EV-to-EBITDA is not ranked *
in the Software industry.
Industry Median: 10.46
* Ranked among companies with meaningful EV-to-EBITDA only.

EV-to-EBITDA is a valuation multiple used in finance and investment to measure the value of a company. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio to determine the fair market value of a company.

As of today (2026-07-22), Vision Technology's stock price is $0.0001. Vision Technology does not have enough years/quarters to calculate its Earnings per Share (Diluted) for the trailing twelve months (TTM) ended in . 20. Therefore, GuruFocus does not calculate Vision Technology's PE Ratio (TTM) at this moment.

The "classic" EV-to-EBITDA is much better in capturing debt and net cash than the PE Ratio (TTM).


Vision Technology  (OTCPK:VSTCQ) EV-to-EBITDA Explanation

EV-to-EBITDA is a valuation multiple used in finance and investment to measure the value of a company. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio (TTM) to determine the fair market value of a company.

Vision Technology's PE Ratio (TTM) for today is calculated as:

PE Ratio (TTM)=Share Price (Today)/Earnings per Share (Diluted) (TTM)
=0.0001/
=

Study has found that the companies with the lowest EV-to-EBITDA outperforms companies measured as cheap by other ratios such as PE Ratio (TTM).

Please read Which price ratio outperforms the enterprise multiple?


Vision Technology EV-to-EBITDA Related Terms


Vision Technology EV-to-EBITDA Historical Data

* Premium members only.

The historical data trend for Vision Technology's EV-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.

Vision Technology EV-to-EBITDA Chart

Vision Technology Annual Data
Trend
EV-to-EBITDA

Vision Technology Quarterly Data
EV-to-EBITDA

VSTCQ vs LOGG, ANDR, YOSN: EV-to-EBITDA Comparison

For the Software - Application subindustry, Vision Technology's EV-to-EBITDA, along with its competitors' market caps and EV-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.


Vision Technology EV-to-EBITDA vs Software Industry

For the Software industry and Technology sector, Vision Technology's EV-to-EBITDA distribution charts can be found below:

* The bar in red indicates where Vision Technology's EV-to-EBITDA falls into.



Vision Technology EV-to-EBITDA Calculation

Vision Technology's EV-to-EBITDA for today is calculated as:

EV-to-EBITDA=Enterprise Value (Today)/EBITDA (TTM)
=0.000/
=


Vision Technology Business Description

Address c/o William P. Janvier, P.O. Box 911, Raleigh, NC, USA, 27602
Vision Technology Corp develops and markets technology to aid communication using VVoIP. The company is also developing software technology to allow database administrators to maximize corporate infrastructure in managing large SQL databases, and is researching hardware capabilities in minimizing video bandwidth for internet protocol transmission.