Addictive Learn Q1 FY27 Results & Concall Highlights: Revenue ₹3.5 Cr

Published 25 Aug 2026 | Other Consumer Services | Market Cap: ₹74 Cr

Target to achieve ₹10 crore monthly revenue within the next six months, improving from current levels (Q1 run-rate was around ₹8-9 crore monthly sales). The company aims to achieve ₹10 crore revenue in the next six months, maintaining expenses around ₹7 crore for stability (Page 13).

From Addictive Learn's Q1 FY27 earnings-call transcript · updated 25 Aug 2026.

Price

48.9

Market Cap

₹74 Cr

Revenue Rank

Rank 3

Margin Rank

Rank 3

How does Addictive Learn rank in Other Consumer Services?

Compare Addictive Learn against every Other Consumer Services company this quarter on revenue, margins and earnings-call signals.

Revenue: Rank 3Margin: Rank 3
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📊 Revenue & Sales Performance

Rank 3
  • Target to achieve ₹10 crore monthly revenue within the next six months, improving from current levels (Q1 run-rate was around ₹8-9 crore monthly sales).
  • Double engines of growth planned: expanding both the sales team and boot camp delivery for faster revenue increase.
  • Focus on disciplined, stable scaling of sales and boot camp operations to avoid previous scaling mistakes.
  • Aim to restart and grow international sales post-US university setup; currently focused on Indian market.
  • Marketing & sales optimization to reduce seasonality impact, with stronger sales teams and improved boot camps.
  • Continued expansion of profitable courses and boot camps, especially in LawSikho which has seen recent growth.
  • Consistent, gradual increase in inside sales with record monthly numbers achieved recently (₹3.5 crore run rate).
  • No immediate plans for fundraising; growth funded internally, focusing on distribution scale-up rather than product development.

📈 Profitability & Margins

Rank 3
  • The company aims to achieve ₹10 crore revenue in the next six months, maintaining expenses around ₹7 crore for stability (Page 13).
  • Focus is on net cash positivity rather than PAT guidance; recent quarters showed positive operating cash flow, with August being the best month historically (Pages 2, 13).
  • Current quarter revenue expected around ₹24-25 crore with cost outflows ₹18-20 crore; amortization around ₹4-4.5 crore impacting PAT (Page 13).
  • EBITDA expected to improve significantly in upcoming quarters as prior investments start yielding returns; the recent quarter's lower EBITDA was a transition phase (Page 10).
  • The company is investing cautiously in content and technology to sustain growth while emphasizing improving distribution and boot camps to scale sales (Pages 6, 11).
  • Risks include controlling ad costs and avoiding bad hires, which could impact profitability (Page 15).
  • No formal revenue or PAT guidance given, but the company is optimistic with improving unit economics and operational efficiencies (Pages 10, 15).

🏗️ Capital Expenditure Plans

No
  • The company continues to invest in content development and technology, including AI automation and new courses, but at a much lower level compared to earlier heavy investments.
  • Current capex is around 50-70 lakhs per month, which is sufficient to keep the company competitive.
  • Most heavy capex investments have already been done; future capex will be limited and frugal, focusing on projects with immediate returns rather than long-term ones.
  • AI development costs have reduced significantly due to efficiency improvements.
  • There are strategic investments in building new courses like quantitative finance and algorithmic trading in tie-ups with IITs.
  • No major new capital expenditure or acquisitions are planned soon; IPO funds mostly remain invested in bonds and mutual funds, with possible reclassification requested for acquisitions but no immediate need.

💰 Fundraising & Capital Structure

No
  • No plans to raise funds in the near term.
  • The company is currently accumulating cash and does not see the need for new funding.
  • They have built sufficient products and software; the main focus is on scaling distribution.
  • Additional funds are not expected to accelerate distribution significantly.
  • The company can finance distribution growth from internal cash flow.
  • Management explicitly stated no plans for buyback or fundraising at present.
  • If cash reserves grow very large (e.g., 40-50 crores), the company may consider other options in the future, but not now.

📋 Order Book & Pipeline

No information
  • The transcript does not explicitly mention a "current" or "expected" order book or pending orders in traditional sense.
  • Sales figures shared indicate monthly course sales around ₹8-8.8 crore recently.
  • Boot camps are a key growth focus, with revenue from boot camps around ₹4 crore/month.
  • Inside sales revenue hit a stable run rate of ₹3.5 crore/month.
  • Community revenue stable above ₹1 crore/month.
  • Management emphasizes increasing boot camps and sales team to scale distribution.
  • No exact order backlog numbers provided, but ongoing focus on scaling sales and boot camp delivery implies a growing sales pipeline.
  • Some sales require convincing and are not necessity-driven, needing sales support.
  • Boot camps, especially LawSikho, saw revival contributing to 45% of revenue recently.

Key Metrics

Revenue

Rank 3

Margin

Rank 3

Capex

No

Fundraise

No

Order Book

No information

Frequently Asked Questions

What were Addictive Learn Q1 FY27 results?

Target to achieve ₹10 crore monthly revenue within the next six months, improving from current levels (Q1 run-rate was around ₹8-9 crore monthly sales). The company aims to achieve ₹10 crore revenue in the next six months, maintaining expenses around ₹7 crore for stability (Page 13).

What is Addictive Learn share price analysis?

Addictive Learn currently shows a below-average growth signal. The stock trades at a P/E of N/A with a market cap of ₹74 Cr. Investors should review the full earnings analysis for detailed insights.

Is Addictive Learn planning capital expenditure?

The company continues to invest in content development and technology, including AI automation and new courses, but at a much lower level compared to earlier heavy investments.

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This analysis is AI-generated based on publicly available earnings data and concall transcripts. This is not investment advice. Please consult a SEBI-registered advisor before making investment decisions.

What Addictive Learn's management said in earlier quarters

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