Addictive Learning Technology Limited (ADDICTIVE)
Latest quarterly results (Q1 FY27)
In its latest reported quarter, Q1 FY27, Addictive Learning's revenue was ₹22.7 Cr (+8.4% year on year, +58.8% on the previous quarter), and net profit ₹0.3 Cr (-75.8% year on year); the operating margin was 21.0%.
| Q1 FY27 (₹ Cr) | Value | YoY vs Q1 FY26 | QoQ |
|---|---|---|---|
| Revenue | ₹22.7 | +8.4% | +58.8% |
| Operating profit | ₹4.8 | -14.6% | from loss |
| Net profit | ₹0.3 | -75.8% | from loss |
| EPS (₹) | 0.20 | -75.3% | from loss |
| Operating margin | 21.0% | — | — |
ADDICTIVE delivery percentage
NSE end-of-day data for
On Fri, 16 Oct 2026, 75.0% of the ADDICTIVE shares traded on NSE were taken to delivery, against the stock's own 20-session average of 91.39%. That is lower than usual for this stock. Turnover was only ₹1 lakh, so a handful of trades can move this figure. Volume was 0.2 times its average, well below normal. It closed at a price band (circuit) on 5 sessions in about the last 20.
Delivery in the last 5 sessions: 100.0% · 83.3% · 95.6% · 100.0% · 75.0%
A description of what the exchange published, not a recommendation. Names such as "accumulation" or "long buildup" label a pattern in the numbers. How delivery is analysed
📢 Recent Corporate Announcements
Addictive Learning Technology Limited has submitted its quarterly compliance certificate under Regulation 74(5) of SEBI (Depositories and Participants) Regulations, 2018 for the quarter ended September 30, 2026. The certificate issued by Registrar and Share Transfer Agent Maashitla Securities confirms that demat requests received during the period were processed and confirmed within 15 days. No business or operational developments were reported in this filing.
- Compliance certificate submitted for the quarter ended September 30, 2026
- Confirmation issued by RTA Maashitla Securities Private Limited on October 1, 2026
- Securities received for dematerialisation confirmed within the statutory 15-day limit
Addictive Learning Technology Limited disclosed the voting results of its 9th Annual General Meeting held on September 28, 2026. All proposed ordinary and special resolutions were passed with the requisite majority, with overall voting turnout reaching 63.20% (1,00,54,712 shares voted). Key resolutions approved include the adoption of FY26 standalone and consolidated financial statements (99.98% in favour), revision in the maximum remuneration of Executive Director Mr. Siddhant Singh Baid (99.94% in favour), and a special resolution approving a variation in the objects/terms of utilisation of IPO proceeds (99.76% in favour). Notably, 24.22% of votes cast by public non-institutional holders were against the IPO proceeds variation.
- Total of 1,00,54,712 votes polled across resolutions, representing 63.1985% of total outstanding shares (1,59,09,732 shares)
- Special resolution for variation in utilisation of IPO proceeds passed with 99.7613% consolidated approval
- Public non-institutional shareholders cast 24,000 votes (24.2194%) against the variation in IPO proceeds utilization
- Special resolution to revise Executive Director Siddhant Singh Baid's maximum remuneration approved with 99.9425% overall votes in favour
- FY26 standalone financial statements adopted with 1,00,52,712 votes (99.98%) in favour and 2,000 votes against
Addictive Learning Technology Limited received a notice from the National Stock Exchange of India (NSE) on September 16, 2026, imposing a fine of ₹13,65,000 plus 18% GST of ₹2,45,700 (totaling ₹16,10,700). The penalty relates to an alleged delay in filing an application for the exchange's no-objection regarding a promoter reclassification request under Regulation 31A. The company disputed the non-compliance, stating the reclassification request itself was non-compliant with Regulation 31A(3)(b), making the application unnecessary. It plans to seek a waiver/review from the NSE and explore an appeal before the Securities Appellate Tribunal (SAT) if required.
- NSE imposed a fine of ₹13,65,000 (excluding GST) under Notice No. NSE/LIST-SOP/FINES/1037
- Additional 18% GST of ₹2,45,700 brings the total levied amount to ₹16,10,700
- Penalty pertains to alleged non-compliance under Regulation 31A(3)(a) for the month ended August 31, 2026
- Company received the notice on September 16, 2026, and intends to seek a waiver or appeal before SAT
Addictive Learning Technology Limited has disclosed that 6 LawSikho learners have successfully cleared Phase 1 of the Solicitors Qualifying Exam (UK). Notably, 5 out of these 6 learners cleared the examination on their first attempt. While this demonstrates course efficacy and supports the company's international certification focus, the update provides no direct financial metrics or revenue implications.
- 6 LawSikho learners cleared Phase 1 of the UK Solicitors Qualifying Exam (SQE)
- 5 learners cleared the Phase 1 exam in their very first attempt
- Filing made under Regulation 30 on 10 September 2026 without disclosed financial considerations
Addictive Learning Technology has issued the notice for its Annual General Meeting scheduled for September 28, 2026, along with its FY26 Annual Report. The company reported a consolidated net loss of ₹0.48 crore in FY26 compared to a net profit of ₹10.7 crore in FY25, impacted by rising customer acquisition costs post-Meta ad delivery changes and an accounting shift deferring ₹5.36 crore into FY27. Management highlighted that monthly net cash turned positive at ₹2 crore in July 2026, with monthly operational cash outgo targeted at ~₹6 crore. The company maintains zero borrowings and promoter group shareholding stood at 63.96% as of August 27, 2026.
- Consolidated net loss stood at ₹0.48 crore in FY26 versus a net profit of ₹10.7 crore in FY25
- Accounting policy shift to monthly revenue recognition deferred ₹5.36 crore of revenue into FY27
- Generated >₹2 crore in net cash in July 2026 with a target to limit monthly cash outgo to around ₹6 crore
- Promoter shareholding was 63.96% as of August 27, 2026, with zero debt and no planned equity fundraise
- Annual General Meeting scheduled to be held on September 28, 2026
Addictive Learning Technology Limited has extended its trading window closure for Designated Persons beyond the standard 48 hours following its Board Meeting on August 27, 2026. The window will remain closed until 48 hours after the outcome of the upcoming Board Meeting is made public. The extension is implemented under SEBI Insider Trading regulations as designated persons are reasonably expected to possess Unpublished Price Sensitive Information (UPSI).
- Trading window closure extended past 48 hours post August 27, 2026 Board Meeting
- Window to remain closed until 48 hours after the next Board Meeting outcome is announced
- Extension driven by possession of Unpublished Price Sensitive Information (UPSI) by Designated Persons
- Date of the next Board of Directors meeting will be intimated separately
Addictive Learning Technology's Board has approved a reallocation of ₹5.21 Cr in unutilized IPO proceeds towards working capital requirements, subject to shareholder approval at the upcoming AGM on September 28, 2026. The reallocated amount consists of ₹5.00 Cr previously earmarked for unidentified acquisitions (halted due to unfavorable valuations and lack of targets) and ₹0.21 Cr in issue expense savings. Out of total IPO proceeds of ₹57.92 Cr, the company has deployed ₹50.70 Cr as of March 31, 2026, with ₹7.21 Cr remaining unutilized. The timeline for the remaining ₹2.00 Cr allocated to identified acquisitions has been extended to FY 2027-28.
- Reallocates ₹5.21 Cr of unutilized IPO proceeds (₹5.00 Cr from unidentified M&A and ₹0.21 Cr surplus issue expenses) to working capital.
- Total IPO funds raised were ₹57.92 Cr, with ₹50.70 Cr utilized and ₹7.21 Cr unutilized as of March 31, 2026.
- Extended timeline for utilizing ₹2.00 Cr towards identified acquisitions up to FY 2027-28.
- Reallocated ₹5.21 Cr working capital funds planned for deployment during FY 2026-27.
Addictive Learning Technology Limited (LawSikho) informed the exchange that four (4) of its learners have successfully cleared both the Solicitor and Barrister Exams of the Ontario Bar Exam, qualifying as Barristers. The disclosure represents an operational update on learner outcomes and test preparation track records. While this validates course efficacy for international bar qualifications, it has no direct or immediate material impact on the company's financials (TTM Revenue of ₹101 Cr).
- 4 LawSikho learners cleared both Solicitor and Barrister Exams of the Ontario Bar Exam
- Qualifying learners have officially qualified as Barristers in Ontario, Canada
- No commercial or revenue figures were disclosed in connection with the update
Addictive Learning Technology released its Q1 FY27 earnings call transcript highlighting an operational turnaround following previous loss-making quarters. Revenue grew 59% QoQ (18% YoY) with EBITDA at ₹4.9 Cr, while PAT stood at ₹31 lakh due to non-cash amortization of past course development costs. Operating cash flow was strong at ₹4 Cr, supported by lowered monthly cash outflow (down to ~₹6–6.5 Cr from ₹8 Cr) and reduced investing outflow of ₹1.9 Cr versus ₹17.5 Cr in FY26. Management reported achieving their target of over ₹2 Cr per month in net cash generation starting June/July.
- Q1 revenue grew 59% QoQ and 18% YoY following recovery from a weak prior quarter
- Operating cash flow reached ₹4 Cr, contrasting with accounting PAT of ₹31 lakh and PBT of ₹42 lakh
- Investing capex cash outflow dropped to ₹1.9 Cr in Q1 compared to ₹17.5 Cr incurred during the full FY26 build phase
- Net cash collections achieved target run-rate of ₹1.8 Cr in June and exceeded ₹2 Cr in July
- Customer acquisition cost for free boot camps dropped from ₹250 to ₹50–₹77 through AI-driven ad deployment
Addictive Learning Technology Limited has uploaded the video recording and investor presentation for its earnings conference call held on August 17, 2026. The call reviewed the unaudited financial results for the quarter ended June 30, 2026, during which the company reported revenue of Rs 22.69 crore and net profit of Rs 0.31 crore. The materials are accessible to the public via the company's website under investor relations as per SEBI LODR regulations.
- Video recording of earnings call held on August 17, 2026, at 05:00 P.M. IST made available
- Call covered unaudited financial results for the quarter ended June 30, 2026
- Investor presentation and video hosted on the company's investor relations portal (lawsikho.com/investors)
Addictive Learning Technology Limited has approved a SEBI PIT-compliant Trading Plan submitted by Sunil Agarwal, a member of the promoter group. The plan entails purchasing equity shares of the company up to an aggregate value of INR 15,00,000. The trades are scheduled for execution between 21 December 2026 and 25 December 2026, observing the mandatory 120-day cooling-off period. The execution price is capped at a maximum limit of INR 50.58 per share based on the reference closing price of Rs 42.15 on August 14, 2026.
- Proposed purchase value capped at INR 15,00,000 by promoter group member Sunil Agarwal
- Scheduled execution window set from 21 December 2026 to 25 December 2026
- Maximum price limit fixed at INR 50.58 per share (up to 20% over 14 August 2026 closing price of Rs 42.15)
- Complies with mandatory 120 calendar days cooling-off period under SEBI PIT Regulations
Addictive Learning Technology released its Q1 FY27 investor presentation, reporting consolidated revenue of ₹22.7 Cr (+59% QoQ, +8% YoY) and PAT of ₹31 Lakhs, which was impacted by ₹4.45 Cr of non-cash amortisation. Operating cash flow improved to ₹4 Cr for the quarter, rebounding from H2 FY26 losses as monthly cash outflows declined from ₹8 Cr+ to ₹6–6.5 Cr. Net cash generation exceeded ₹2 Cr in July 2026, driven by in-house AI tools reducing acquisition costs by 58–80%. The company maintains a debt-free balance sheet with ₹2.86 Cr in cash and ₹7.21 Cr in undeployed IPO proceeds.
- Q1 FY27 consolidated revenue stood at ₹22.7 Cr (+59% QoQ, +8% YoY) with an EBITDA of ₹4.9 Cr.
- Reported PAT came in at ₹31 Lakhs after ₹4.45 Cr in non-cash amortisation of historical product build.
- Generated ₹4 Cr in operating cash flow in Q1, with July net cash generation crossing ₹2 Cr.
- Monthly cash outflows reduced from ₹8 Cr+ peak to ₹6–6.5 Cr as build capex dropped to ₹1.9 Cr in Q1 vs ₹17.5 Cr in FY26.
- Customer acquisition costs fell 58% to 80% across qualifying and tripwire funnels using proprietary AI marketing tools.
Addictive Learning Technology Limited has rescheduled its earnings conference call for the quarter ended June 30, 2026. The call, originally scheduled for Monday, August 17, 2026, at 04:00 PM IST, has been moved to 05:00 PM IST on the same day. The company stated the one-hour postponement was made upon request from multiple investors to enable broader participation.
- Earnings call date: August 17, 2026
- Original call time: 04:00 P.M. (IST)
- Rescheduled call time: 05:00 P.M. (IST)
- Purpose: Discuss unaudited financial results for the quarter ended June 30, 2026
Addictive Learning Technology Limited has scheduled an earnings conference call for August 17, 2026, to discuss its unaudited financial results for the quarter ended June 30, 2026. The company previously reported revenue of Rs 43.87 cr for the half-year ended September 2024, reflecting growth from Rs 34.82 cr in March 2024. Investors will look for updates on the 50-100% growth target and the efficacy of AI-driven sales, which previously showed a 36% conversion rate. The call provides a platform to assess the progress of the "Holy Trinity" strategy involving US University certifications.
- Earnings call scheduled for August 17, 2026, at 04:00 PM IST.
- Discussion focuses on unaudited financial results for the quarter ended June 30, 2026.
- Previous revenue grew from Rs 34.82 cr in March 2024 to Rs 43.87 cr in September 2024.
- Company targets 50-100% growth through AI-driven delivery and global certifications.
Addictive Learning Technology Limited (ADDICTIVE) has issued a correction to its Q1 FY27 financial results originally filed on August 8, 2026. The correction is limited to a computational error in the Earnings Per Share (EPS) for the previous quarter (March 31, 2026), with no changes to the current quarter's revenue of ₹22.59 cr or Profit After Tax of ₹0.23 cr. The company also reported that its Canadian subsidiary was dissolved on May 1, 2026, and disclosed the utilization of ₹57.92 cr in IPO proceeds, of which ₹7.21 cr remains unutilized.
- Standalone revenue for the quarter ended June 30, 2026, stood at ₹2,258.93 lakhs (₹22.59 cr).
- Standalone Profit After Tax (PAT) for Q1 FY27 was reported at ₹22.91 lakhs (₹0.23 cr).
- Total IPO proceeds of ₹5,791.80 lakhs have been received, with ₹5,070.48 lakhs utilized as of June 30, 2026.
- A Canadian subsidiary, Addictive Learning Technology Inc., was dissolved effective May 1, 2026, with no material financial impact.
- The company faces a legal dispute with a former employee involving claims of ₹227.59 lakhs and counterclaims of ₹171.03 lakhs.
Financial Performance
Revenue Growth by Segment
LawSikho contributes approximately 30% of revenue, while Skill Arbitrage and other bootcamps contribute the remaining 70%. The company missed its H1 FY26 revenue target of INR 50-60 Cr due to challenges in scaling the sales team.
Geographic Revenue Split
Primarily India-based; however, the company is expanding globally with certificate programs and targeting the Philippines and Malaysia to leverage English-speaking markets.
Profitability Margins
The company reported an average net profit of INR 4.49 Cr over the preceding three years for CSR calculation purposes. Profitability is currently impacted by high investment in technology and management bandwidth for AI integration.
EBITDA Margin
Not explicitly disclosed for the current period, but the company is prioritizing growth over immediate dividends, maintaining 'enough cash in the bank' to fund AI-driven scaling.
Capital Expenditure
Development costs are capitalized as intangible assets and amortized over a 6-year period. Specific INR Cr values for total historical Capex were not disclosed, but significant investment is directed toward AI-driven delivery mechanisms.
Operational Drivers
Raw Materials
Human Capital (Sales/Counselors) representing a significant portion of operational costs; Technology Infrastructure for AI-enabled delivery.
Import Sources
Not applicable for EdTech; talent is sourced primarily from India (freshers/trainees).
Key Suppliers
Not applicable; the company develops its own AI agents and course content internally.
Capacity Expansion
Current sales capacity reached 300 counselings per day in November 2025. The company is expanding its sales team with a new cohort of approximately 70 people including trainees.
Raw Material Costs
Sales personnel costs have been optimized by hiring freshers at INR 10,000 per month (trainee rate) compared to the previous team's INR 50,000-60,000+ salary, representing an 80% reduction in entry-level base pay.
Manufacturing Efficiency
AI-enabled sales experiments showed a conversion of 18 sales from 50 leads (36% conversion rate) within 48 hours, significantly higher than traditional manual methods.
Logistics & Distribution
Digital distribution via the LawSikho and Skill Arbitrage platforms.
Strategic Growth
Expected Growth Rate
50-100%
Growth Strategy
The company is pursuing a 'Holy Trinity' strategy: 1) Controlling a Job Platform for leverage, 2) AI-Driven Delivery Mechanism to prevent copying, and 3) US University Certification to move beyond the 'unregulated bootcamp' status. Growth will be driven by scaling the AI-enabled sales team and launching global certificate programs.
Products & Services
California Bar Exam programs, Enrolled Agent (IRS) programs, Independent Director Training, Research and Academic Writing Automation, and Remote Work for Women courses.
Brand Portfolio
LawSikho, Skill Arbitrage.
New Products/Services
Research and Academic Writing Automation; IIT Roorkee top-up certifications which increase program pricing from INR 65,000 to over INR 1 Lakh (approx. 54% increase).
Market Expansion
Targeting Southeast Asia (Philippines and Malaysia) and global markets for US-accredited certificate programs.
Strategic Alliances
Partnership with IIT Roorkee for certification top-ups on top-selling programs.
External Factors
Industry Trends
The industry is shifting toward AI-integrated learning and 'Skill Arbitrage' where professionals from developing economies serve developed markets. Addictive is positioning itself as an AI-first organization to disrupt traditional IIM/KPMG training programs.
Competitive Landscape
Competes with traditional test prep for Judiciary/Supreme Court exams and executive programs from IIMs and Big 4 firms like KPMG.
Competitive Moat
Moat is built on a proprietary AI-driven delivery mechanism and US University accreditation, which are difficult for competitors to replicate quickly. The 'Job Platform' integration creates high switching costs for students.
Macro Economic Sensitivity
Sensitive to the global remote work trend and the 'Skill Arbitrage' market where Indian professionals seek US-based earnings.
Consumer Behavior
Shift toward seeking 'outcomes' (e.g., landing a Big 4 job or board seat) rather than just content, necessitating the company's focus on 'Roadmap' counseling.
Geopolitical Risks
Regulatory changes in US accounting (IRS) or legal (Bar Exam) requirements for foreign-trained professionals could impact core course demand.
Regulatory & Governance
Industry Regulations
Compliance with SEBI (LODR) Regulations 2015 and Companies Act 2013. The company is seeking US University accreditation to navigate the 'unregulated bootcamp' regulatory environment.
Taxation Policy Impact
The company follows standard Indian corporate tax norms; its Canadian subsidiary reported a loss before taxation of 997.84 CAD.
Legal Contingencies
No significant or material orders were issued against the company by any regulatory authority, court, or tribunal during the year that could affect its going concern status.
Risk Analysis
Key Uncertainties
Scaling the sales team remains the primary uncertainty, with multiple previous failed attempts noted by the CEO. Potential impact is a 40-50% variance in projected revenue.
Geographic Concentration Risk
High concentration in India, though diversifying into Southeast Asia.
Third Party Dependencies
Dependency on university partners (e.g., IIT Roorkee, US Universities) for certification validity.
Technology Obsolescence Risk
Risk of AI tools becoming commoditized; company is mitigating this by building proprietary AI agents integrated into the course delivery.
