22 slides from Addictive Learning Technology's earnings presentation, Aug 17, 2026
Slide 1: Submission of presentation for Earnings Conference Call
ADDICTIVE LEARNING TECHNOLOGY LIMITED (Formerly Addictive Learning Technology Private Limited) (CIN: L74110HR2017PLC118029) Registered office: Space Creattors Heights, 3rd Floor, Landmark Cyber Park, Golf Course Extension, Sector 67, DLF Qe, Gurgaon, Haryana 122102, India Ph. No.: +91 8047486192, E-
Slide 2: Q1 FY27 Earnings Presentation
Addictive Learning Technology Limited Q1 FY27 Earnings Presentation NSE: ADDICTIVE · 17 August 2026 The turnaround is not a plan — it is already in the numbers.
Slide 3: Safe Harbor
Safe Harbor This presentation contains statements about future events, plans and expectations of Addictive Learning Technology Limited ("the Company") that are forward-looking in nature. Actual results may differ materially from those expressed or implied, due to risks and uncertainties including ma
Slide 4: The turnaround, upfront
The turnaround, upfront ₹22.7 Cr ₹31 L PAT ₹4 Cr Best ever Q1 revenue · +59% QoQ · +8% −76% YoY (consol.) · vs ₹4.7 Cr operating cash flow · Q1 August, tracking YoY (consol.) Q4 FY26 loss Apr–May Jul H2 FY26 Jun → ~₹30 L/mo · → → ₹2 Cr+ — target monthly losses ₹1.8 Cr net cash breakeven beaten North
Slide 5: Why reported profit understates the quarter
Why reported profit understates the quarter The amortisation effect · consolidated, filed figures ₹4.9 Cr ₹4.45 Cr ₹31 L PAT EBITDA (PBT + D&A) — what the quarter − amortisation — non-cash charge for product = after ₹42 L PBT and tax — the reported earned before non-cash charges built in prior years
Slide 6: The other half of the profit story: we spent more on growth
The other half of the profit story: we spent more on growth Q1 FY27 vs Q1 FY26 · management classification of filed expenses Advertisement & marketing ₹3.88 Cr → ₹5.90 Cr +₹2.01 Cr ad spend to drive enrolments Sales & marketing team ₹1.65 Cr → ₹3.12 Cr +₹1.47 Cr sales team cost — cohorts ramp over 2
Slide 7: What we said in June — and what happened
What we said in June — and what happened The FY26 call, 9 June 2026, vs Q1 FY27 filed results and internal figures What we said What happened “₹2 Cr/month net cash, in about 3 months — hold us to it” July: ₹2 Cr+ — beaten, inside the window “Monthly cash outgo down to ~₹6 Cr” ₹6–6.5 Cr held through
Slide 8: H2 FY26: two engines broke at once
H2 FY26: two engines broke at once Advertising Inside sales – Costs spiked from Oct 2025 · peak ₹2,052 / registration – Output crashed to ~₹2 Cr / month – Bootcamps — our top-of-funnel — unviable – Exits + new hiring at the same time – Damage carries a 2–3 month lag – Severance & ramp costs land bef
Slide 9: Advertising, rebuilt as our own technology
Advertising, rebuilt as our own technology 1 AI ad creation & approval · statics cracked · video in progress 2 GrowthX landing pages · served in milliseconds 3 Automated deployment & monitoring · problems caught same day 4 Automated funnel setup & audits · launched 20+ person production team → engin
Slide 10: Acquisition cost: down 58–80% across every funnel type
Acquisition cost: down 58–80% across every funnel type Meta ads, all accounts · monthly · each funnel vs itself · ₹ incl. 18% GST ₹2,052 ₹2,000 ₹1,235 → ₹524 qualifying · –58% ₹1,500 ₹1,328 ₹1,000 ~₹1,120 → ₹215 tripwire · –80% ₹530 ₹500 ₹523 ₹217 ₹150–250 → ₹49–77 ₹0 Sep'25 Oct Nov Dec Jan'26 Feb M
Slide 11: The constraint has moved into our own hands
The constraint has moved into our own hands 6 months ago Today – Constraint: market ad prices – More profitable demand than we can deliver – Bootcamps unviable – Constraint: senior trainer capacity – Growth capped by economics – Fix: hire trainers + AI bootcamp ops 8+ / month 10 / month Ours to fix
Slide 12: Sales rebuilt · costs restructured
Sales rebuilt · costs restructured Inside sales Cash outflow ₹2 Cr → ₹3.5 Cr / mo ₹8 Cr+ → ₹6–6.5 Cr / mo trough to now savings permanent – Leadership change → stabilised → growing – Driven by AI automation – Recent months among best ever – One-time costs hit the weak quarters – Cohorts ramp in 2–3
Slide 13: Three revenue engines
Three revenue engines Gross monthly collections · Jul–Aug 2026 run-rate · internal management figures ₹4–5 Cr ₹1 Cr+ ₹3.5 Cr bootcamp-driven sales community revenue inside sales · growing Refunds ₹20–30 L / month on ~₹9 Cr collections · ~3%. Quarterly scorecard from now on: bootcamps / month · colle
Slide 14: Clean balance sheet, self-funded turnaround
Clean balance sheet, self-funded turnaround Filed figures as at 30 June 2026 ₹2.86 Cr cash Zero debt up ₹2.11 Cr in the quarter — the business now adds cash no borrowings, ever · financing line in the cash-flow statement: nil ₹7.21 Cr −₹62 L → +₹2.11 Cr undeployed IPO proceeds, earmarked for acquisi
Slide 15: Why bootcamps are the growth priority
Why bootcamps are the growth priority The reason — not guidance 1 Proven mechanism — doubling bootcamps has doubled revenue 2 3 years of IPO-funded product — built, paid for — waiting for distribution. Distribution is back. 3 Two dials, both ours — more bootcamps · more salespeople · costs flat 14
Slide 16: AI serving students — live today
AI serving students — live today AI voice trainer AI evaluation software discovery call → 60-page personal strategy plan · follow-up coaching less dependence on human evaluators · quality & satisfaction up in development Self-service support Certifications & refunds 25% of issues resolved ticket-fre
Slide 17: Building next: AI on the outcome itself
Building next: AI on the outcome itself 1 Gig-platform profiles — ideal student profiles for 70+ platforms 2 Job-hunting software — enterprise-sales org mapping, for job seekers 3 AI bootcamp operations — the ad playbook, applied to delivery AI cut our costs, improved our student experience, and is
Slide 18: Small core teams, in one room
Small core teams, in one room – Remote, flexible workforce — unchanged – Core teams building AI systems work best together – Minor cost · within the ₹6–6.5 Cr base Gurgaon · 40 Indore · 30 Remote seats · core team hub seats · core team hub everyone else 17
Slide 19: AI in our students’ hands
AI in our students’ hands Built in-house, shipped to learners · a sample, not the full list 01 BriefReach — law students find potential clients and send targeted outreach in one 08 TalentFlow — role, company type, city → matching LinkedIn profiles with work pass emails · no platform subscriptions, n
Slide 20: AI running the business
AI running the business Internal systems, built by the same teams · a sample, not the full list LIVE Mailbhejo — our own email platform: 4.5 lakh emails in 20 days · AI drafting, an AI Buddy for campaign analysis, and 3 live automations that have sent ~80,000 on their own LIVE AnswerLens — who answe
Slide 21: Placement, automated end to end
Placement, automated end to end Outcome delivery moving from spreadsheets to systems · a sample, not the full list LIVE Placement Tracker — session booking, recording and feedback tracked end to end in the portal · replaced a freelancing spreadsheet BUILDING Dossier Engine — roadmap and dossier crea
Slide 22: Judge us on the scorecard
Judge us on the scorecard Bootcamps / month Collections by engine Monthly cash outflow Net cash generation 8+ → 10 three engines, reported ₹6–6.5 Cr, held ₹2 Cr+ in July · North Star met separately Same definitions, every quarter. Next North Star: ₹10 Cr / month collections · costs under ₹7 Cr → ₹3