Vertoz promoters disclose share encumbrance status for FY26

1 min read     Updated on 01 Jul 2026, 06:15 AM
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Anirudha BScanX News Team
AI Summary

Vertoz Ltd promoters disclosed that they hold 64.80% of the company's equity shares, with 51.82% of the total share capital encumbered as of March 31, 2026. The filing confirms no new encumbrances were created during FY26 beyond existing pledges and non-disposal undertakings. Hirenkumar Rasiklal Shah and Ashish Rasiklal Shah have pledged 79.06% of their respective holdings, while a non-disposal undertaking covers a significant portion of the promoter group's shares.

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The promoters of Vertoz Ltd have confirmed that no new encumbrances were created on their shareholdings during the financial year ended March 31, 2026. In a disclosure submitted to the National Stock Exchange of India Limited, the group stated that apart from previously disclosed pledging and non-disposal undertakings, no restrictions were placed on the free and marketable title to their shares. The filing was made in compliance with Regulation 31(4) of the Securities and Exchange Board of India (Substantial Acquisition of Shares and Takeovers) Regulations, 2011.

The promoter group, comprising Hirenkumar Rasiklal Shah, Ashish Rasiklal Shah, and other members, collectively holds 5,52,33,242 equity shares, representing 64.80% of the company's total share capital. Despite the high holding, a significant portion of these shares remains subject to encumbrances. The total encumbered shares amount to 4,41,60,696, which constitutes 51.82% of the total share capital. Consequently, the unencumbered shares held by the promoter group total 1,10,72,546, or 12.98% of the share capital.

The specific nature of the encumbrances includes pledges and non-disposal undertakings (NDU). Hirenkumar Rasiklal Shah and Ashish Rasiklal Shah, both promoters, have each pledged 1,73,84,500 shares. This represents 79.06% of their individual holdings and 20.40% of the company's total share capital for each promoter. Additionally, a non-disposal undertaking covers 4,41,60,696 shares, representing 51.82% of the total share capital, pursuant to an NDU Agreement dated June 25, 2025.

The filing provides a detailed breakdown of the shareholding within the promoter group. The table below outlines the holdings of key members as of March 31, 2026:

Name Designation No. of Shares Held
Hirenkumar Rasiklal Shah Promoter 2,19,87,648
Ashish Rasiklal Shah Promoter 2,19,87,648
Rasiklal Hathichand Shah Promoter Group 2,39,400
Ranjanben Rasiklal Shah Promoter Group 2,39,400
Archana Rohit Shah Promoter Group 2,39,400
Dimple Hirenkumar Shah Promoter Group 50,20,000
Gunja Ashish Shah Promoter Group 50,20,000

The disclosure also clarifies reporting discrepancies regarding the non-disposal undertaking in the quarterly Shareholding Pattern (SHP). The promoters noted that while the entire shareholding of Hirenkumar Shah, Ashish Shah, and Rasiklal Shah is subject to the NDU, the SHP reflects only the balance shareholding. This adjustment is necessary to avoid an incorrect calculation of the percentage of encumbered shares, given that a portion of the shares is also pledged.

Historical Stock Returns for Vertoz

1 Day5 Days1 Month6 Months1 Year5 Years
-3.87%-4.60%-17.13%-45.66%-53.06%+386.14%

What are the specific triggers or conditions under the NDU Agreement that could lead to the release of the 51.82% of shares currently subject to non-disposal undertakings?

Given that nearly 80% of the individual promoters' holdings are pledged, what plans are in place to reduce this high leverage ratio to mitigate potential margin call risks?

How will the promoters rectify the reporting discrepancies in the quarterly Shareholding Pattern to ensure transparency regarding the overlap between pledged shares and NDUs?

Vertoz files fourth patent for demand platform optimization using machine learning

1 min read     Updated on 25 Jun 2026, 12:36 AM
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Ashish TScanX News Team
AI Summary

Vertoz Limited filed its fourth patent application in India on June 24, 2026, for a system optimizing demand platforms using machine learning. The technology predicts ad partner responses to improve efficiency and reduce infrastructure overhead.

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Vertoz Limited has filed its fourth patent application in India on June 24, 2026, to strengthen its intellectual property portfolio focused on digital advertising technology. The new application, titled “System and Method for Demand Platform Optimization (DPO) Using Machine Learning-Based DSP Prediction, Ranking, and Real-Time Slot Allotment,” aims to enhance the efficiency of ad transactions through advanced predictive algorithms.

The proposed invention utilizes machine learning to identify advertising partners most likely to respond to specific ad opportunities before requests are transmitted. By prioritizing relevant demand sources and minimizing unnecessary request forwarding, the system seeks to reduce infrastructure overhead and enable faster ad delivery. This technological development underscores Vertoz 's commitment to creating scalable, data-driven solutions within the digital advertising ecosystem.

Strategic Impact

The filing reflects the company's continued investment in research and development to build differentiated advertising technologies. By integrating machine learning into demand-side platform (DSP) operations, Vertoz intends to improve performance metrics for advertisers while optimizing resource allocation across its network.

Patent Details

Feature Description
Application Title System and Method for Demand Platform Optimization (DPO) Using Machine Learning-Based DSP Prediction, Ranking, and Real-Time Slot Allotment
Filing Date June 24, 2026
Technology Focus Machine learning, real-time slot allotment, demand prediction

This addition to the company's intellectual property assets aligns with its strategy to foster innovation and create sustainable value for stakeholders through advanced advertising technologies.

Historical Stock Returns for Vertoz

1 Day5 Days1 Month6 Months1 Year5 Years
-3.87%-4.60%-17.13%-45.66%-53.06%+386.14%

How will the implementation of this machine learning-based DPO technology impact Vertoz's operational costs and profit margins in the next fiscal year?

What competitive advantages does this patent provide Vertoz against other major DSPs currently utilizing similar predictive algorithms?

How might this technology influence client retention rates and attract new advertisers seeking higher efficiency in ad delivery?

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