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Vertical DataVDTA +4.51%12 Debt-to-Equity is 0.00 as of Mar. 2026. GuruFocus rates VDTA with a GF Score™ of 12/100. Among 2,243 Software companies, Vertical Data ranks worse than 44583.1% 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 Vertical Data's Debt-to-Equity or its related term are showing as below:
VDTA's Debt-to-Equity is not ranked *
in the Software industry.
Industry Median: 0.2 * Ranked among companies with meaningful Debt-to-Equity only.
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.
Vertical Data Debt-to-Equity Related Terms
Vertical Data Debt-to-Equity Historical Data
* Premium members only.
The historical data trend for Vertical Data'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.
Vertical Data Debt-to-Equity Chart
Vertical Data Annual Data
Trend
Debt-to-Equity
Vertical Data Semi-Annual Data
Mar25
Mar26
Debt-to-Equity
N/A
0.00
VDTA vs AIOS, CTM, HKIT: Debt-to-Equity Comparison
For the Information Technology Services subindustry, Vertical Data'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.
Vertical Data Debt-to-Equity vs Software Industry
For the Software industry and Technology sector, Vertical Data's Debt-to-Equity distribution charts can be found below:
* The bar in red indicates where Vertical Data'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.
Vertical Data (VDTA) has a Debt-to-Equity of 0.00 as of Mar. 2026. Debt-to-Equity ratio represents the ratio of total debt to total company equity. View historical data on Vertical Data and its competitors. According to the industry distribution chart, Vertical Data ranks #999999 out of 2243 companies in the Software industry.
Is Vertical Data's Debt-to-Equity too high?
Vertical Data's current Debt-to-Equity is 0.00. Based on the distribution chart, Vertical Data ranks #999999 out of 2243 companies in the Software industry, which is in the bottom quartile relative to peers. Overall, Vertical Data has a GF Score™ of 12/100, reflecting its overall financial health beyond just this single metric.
How does Vertical Data's Debt-to-Equity compare to AIOS and CTM?
According to the Software industry distribution chart, Vertical Data ranks #999999 out of 2243 companies for Debt-to-Equity. This places Vertical Data in the lower half of its industry. The industry median Debt-to-Equity is 0.20. 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 Software company?
The median Debt-to-Equity among Software companies is 0.20, based on 2,243 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 Vertical Data and its competitors. For the Software industry, the median Debt-to-Equity is 0.20 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Vertical Data's current Debt-to-Equity is 0.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Vertical Data stock overvalued right now?
Vertical Data (VDTA) has a current Debt-to-Equity of 0.00. The current Debt-to-Equity is 0.00. Vertical Data's overall GF Score™ is 12/100. 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 Vertical Data (VDTA), the current Debt-to-Equity is 0.00 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.
Vertical Data Inc is an early-stage systems and solutions technology provider delivering high-performance computing solutions. It distributes computer systems and information technology (IT) systems, including graphics processing unit (GPU) servers, storage solutions, system components, software, networking and communications equipment, and related complementary products and services. The business model distributes technology products from original equipment manufacturers (OEMs) and suppliers of next-generation technologies, as well as delivery models such as converged and hyper-converged infrastructure. It purchases peripherals, IT systems, system components, software, and networking equipment from a network of suppliers and sells them to data center and enterprise customers.
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