Mobavenue AI Tech Limited has announced its audited financial results for the quarter and year ended March 31, 2026, with the Board of Directors approving the results at their meeting held on May 15, 2026. The company reported a notable increase in profitability, with consolidated net profit for Q4 rising to 84M rupees compared to 54M rupees in the corresponding period of the previous year. Revenue from operations also saw strong growth, climbing to 626M rupees from 441M rupees year-on-year. In compliance with Regulation 47 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015, the company subsequently published newspaper advertisements pertaining to these audited financial results on May 16, 2026, in Free Press Indore (English) and Choutha Sansar (Hindi).

Financial Performance Overview

The company's Q4 EBITDA came in at 103M rupees, up from 57M rupees in the same quarter last year, reflecting improved operational efficiency. The EBITDA margin for the quarter stood at 16.45%, compared to 12.85% in the year-ago period, representing a meaningful expansion. For the full fiscal year FY2026, revenue surged to Rs 21,848 lakh from Rs 8,670 lakh in the previous year, while PAT for the full year stood at Rs 2,935 lakh.

The following table summarises the key Q4 financial metrics:

The board has recommended a final dividend of Rs 0.50 per equity share of face value Rs 10 each for the financial year 2025-26, subject to the approval of shareholders at the ensuing Annual General Meeting.

Operational and Corporate Updates

The statutory auditors, M/s N. A. Shah Associates LLP, issued an unmodified opinion on the audited consolidated financial results. The results include the financial performance of subsidiaries, including Mobavenue Media Private Limited, which became a wholly owned subsidiary during the year.

During the year, the company issued 4,59,558 equity shares on a preferential basis. Additionally, the board approved a resolution for the split of equity shares from Rs 10 each to Rs 2 each, though the record date is yet to be approved. The trading window for designated persons, which was closed on April 1, 2026, will remain closed until 48 hours after the financial results are made public.

Regulatory Disclosure

Pursuant to Regulation 47 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015, Mobavenue AI Tech Limited filed copies of the newspaper advertisements with BSE Limited on May 16, 2026. The advertisement was published in Free Press Indore (English) and Choutha Sansar (Hindi), both dated May 16, 2026. The filing was submitted by Kunal Kothari, Chairman & Chief Operating Officer (DIN: 07111105), on behalf of the company. The audited results, along with the audit report, are available on the BSE website and the company's website at www.mobavenue.ai .

Mobavenue AI Tech Limited, in association with Marketing + Media Alliance (MMA) India, has released 'The AI Marketing Maturity Study', a comprehensive benchmarking report assessing AI adoption and business impact across key marketing functions. The disclosure was made to BSE Limited on 7th May, 2026, under Regulation 30. The study draws on insights from 60+ senior marketing leaders spanning 11+ industry verticals, providing a broad cross-sectoral view of how AI is being deployed in marketing today.

Key Findings: AI Adoption and Business Impact

The study's headline finding indicates that 84–88% of AI adopters are reporting medium-to-high business impact across key marketing functions. The report further reveals an increasing industry shift from experimentation towards integrated AI-led operational systems designed to deliver measurable and scalable business outcomes. The following table summarises the four critical pillars benchmarked in the study along with the reported full-stack AI adoption ranges:

Four Critical Pillars of AI Maturity

The report benchmarks AI maturity across four critical pillars, each representing a core area of marketing operations:

• Creative & Content — AI-driven content generation and creative optimisation
• Measurement & Insights — AI-powered analytics and performance measurement
• Propensity Modelling — Predictive modelling to identify high-intent audiences
• Customer & Sales Journeys — AI integration across end-to-end customer engagement workflows

Full-stack AI adoption across these pillars ranges between 35% and 57%, reflecting varying levels of maturity and integration across the industry.

Leadership Commentary

Commenting on the study, Tejas Rathod, Founder & CTO, Mobavenue AI Tech, stated: "Most organisations today have moved beyond experimenting with AI and are actively using it across functions. However, what often exists is a collection of capable but disconnected systems. When planning, creative, execution, and analytics operate in silos, the true potential of AI remains under-realised. The opportunity lies in building connected workflows where insights can directly inform action and continuously improve outcomes. As this study highlights, the focus now should be on creating structured, end-to-end systems that can translate AI capabilities into consistent and scalable business impact."

About Mobavenue AI Tech Limited

Mobavenue AI Tech Limited (formerly known as Lucent Industries Limited) is a global AI-powered AdTech and consumer growth company that enables businesses, enterprises, publishers, and large global agencies to connect with high-intent consumers and drive measurable outcomes across the full customer journey. Its proprietary A3 framework, spanning Awareness, Acquisition, and Activation, ensures a full-funnel, outcome-led approach to digital growth.

Headquartered in Mumbai with a growing global presence across Southeast Asia, MENA, LATAM, Hong Kong, the UK, and the USA, the company works with 150+ brands across e-commerce, BFSI, fintech, travel, OTT, gaming, healthcare, and retail. At the core of its offering is the GMP 360 stack, a unified platform integrating data, AI-led decisioning, and programmatic execution across mobile, video, Connected TV, web, OEM, and DOOH, enabling real-time intelligence and consistent outcomes at scale.