Maqbool Textile Mills (KAR:MQTM) Volatility: 37.55% (As of Jun. 26, 2026)


What is Maqbool Textile Mills Volatility?

Maqbool Textile Mills KAR:MQTM Volatility is 37.55% as of Jun. 26, 2026.

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), Maqbool Textile Mills's Volatility is 37.55%.

Maqbool Textile Mills  (KAR:MQTM) 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.

Maqbool Textile Mills Volatility Related Terms

Maqbool Textile Mills Volatility Competitor Comparison

For the Textile Manufacturing subindustry, Maqbool Textile Mills'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.

Maqbool Textile Mills Volatility vs Manufacturing - Apparel & Accessories Industry

For the Manufacturing - Apparel & Accessories industry and Consumer Cyclical sector, Maqbool Textile Mills's Volatility distribution charts can be found below:

* The bar in red indicates where Maqbool Textile Mills's Volatility falls into.


Maqbool Textile Mills  (KAR:MQTM) 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 37.55% mean?
Maqbool Textile Mills (KAR:MQTM) has a Volatility of 37.55% 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 Maqbool Textile Mills and its competitors.
Is Maqbool Textile Mills' Volatility too high?
Maqbool Textile Mills' current Volatility is 37.55%.
How does Maqbool Textile Mills' Volatility compare to competitors?
Maqbool Textile Mills' Volatility of 37.55% can be compared against companies in the Manufacturing - Apparel & Accessories 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 Manufacturing - Apparel & Accessories company?
A good Volatility depends on the Manufacturing - Apparel & Accessories 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 Maqbool Textile Mills and its competitors. Maqbool Textile Mills's current Volatility is 37.55%. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Maqbool Textile Mills stock overvalued right now?
Maqbool Textile Mills (KAR:MQTM) has a current Volatility of 37.55%. The current Volatility is 37.55%. 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 Maqbool Textile Mills (KAR:MQTM), the current Volatility is 37.55% 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.

Maqbool Textile Mills Business Description

Address 2 Industrial Estate, Multan Cantt, Multan, PB, PAK, 60000
Maqbool Textile Mills Ltd is engaged in a business in the textile industry. It is mainly engaged in the manufacturing and sale of yarns, cotton seeds, and cotton lint. The company generates revenue from the sale of viscose, cotton, other raw materials, polyester, and other textile products. Geographically, it generates maximum revenue from the domestic market and also exports its products to other regions.