Datalex (DUB:DLE) Volatility: 31.15% (As of Jun. 26, 2026)


What is Datalex Volatility?

Datalex DUB:DLE Volatility is 31.15% as of Jun. 26, 2026. The stock has 3 warning signs investors should review.

Volatility is a statistical measure of the dispersion of returns for a given security or market index, it shows how the price swings around its mean. The volatility here is measured as the annualized standard deviation between monthly returns from the security over the past year. In most cases, the higher the volatility, the riskier the security.

As of today (2026-06-26), Datalex's Volatility is 31.15%.


Datalex  (DUB:DLE) Volatility Explanation

Volatility is a statistical measure of the dispersion of returns for a given security or market index. It’s often measured as standard deviation or variance of historical returns over a certain period. The volatility here is measured as the annualized standard deviation between monthly returns from the security over the past year.

Volatility reflects the uncertainty or risk of a security’s value. Generally speaking, a higher volatility suggests a higher risk, because it implies a wider fluctuation around average price. This means the price of the security can change dramatically in either direction within a short period. Conversely, a lower volatility means that the security's price is more steady, which suggests a lower risk.

Another measurement of relative volatility is Beta. Beta is a measure of systematic risk of a security or a portfolio in comparison to the market as a whole. Beta is usually compared to 1. A beta of greater than 1 indicates that the security's price will be more volatile than the market.


Datalex Volatility Related Terms


DUB:DLE vs CRM, UBER, NOW: Volatility Comparison

For the Software - Application subindustry, Datalex's Volatility, along with its competitors' market caps and Volatility 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.


Datalex Volatility vs Software Industry

For the Software industry and Technology sector, Datalex's Volatility distribution charts can be found below:

* The bar in red indicates where Datalex's Volatility falls into.



Datalex  (DUB:DLE) Volatility Calculation

The annualized volatility is calculated as following:

σA=σM * 12
= 1/(n-1) ∑(Ri - R')^2 * 12

Where: σM is the monthly volatility, n is the number of months in the period, Ri is the security's historical monthly returns and R' is the arithmetic mean of monthly returns.

* 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.

Frequently Asked Questions Learn more about Volatility →
What does a Volatility of 31.15% mean?
Datalex (DUB:DLE) has a Volatility of 31.15% as of Jun. 26, 2026. Volatility is measured as the annualized standard deviation between monthly returns from the security over the past year. View historical data on Datalex and its competitors.
Is Datalex's Volatility too high?
Datalex's current Volatility is 31.15%.
How does Datalex's Volatility compare to CRM and UBER?
Datalex's Volatility of 31.15% 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 Volatility for a Software company?
A good Volatility depends on the Software industry context. However, Volatility 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 Volatility mean?
A high Volatility can signal that a stock is expensive relative to its fundamentals. Volatility is measured as the annualized standard deviation between monthly returns from the security over the past year. View historical data on Datalex and its competitors. Datalex's current Volatility is 31.15%. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Datalex stock overvalued right now?
Datalex (DUB:DLE) has a current Volatility of 31.15%. The stock's GF Value™ is €0.48, compared to a current price of €0.30 — trading 37.5% below its estimated fair value. The current Volatility is 31.15%. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Volatility calculated?
Volatility is calculated from a company's financial statements. For Datalex (DUB:DLE), the current Volatility is 31.15% as of Jun. 26, 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.

Datalex Business Description

Address EastPoint, Marina House - Block V, Dublin, IRL, D03 AX24
Datalex PLC is in the business of the development and sale of a diverse range of direct and indirect distribution and retailing software products and solutions to the airline industry. Its products and services include offer and pricing management, order management, Omni channel, NDC, and technology and architecture. The firm's customers are airlines such as Aer Lingus, Air China, Air Transat, jetBlue, and Turkish Airlines among others. It functions through the E-business and TPF Consulting segments and derives a majority of its revenues from the E-business segment that consists of the development and sale of a variety of direct distribution software products and solutions to the Airline and Travel industry.