Computer Age Management Services (CAMS) Q1 26/27 earnings summary
Event summary combining transcript, slides, and related documents.
Q1 26/27 earnings summary
7 Aug, 2026Executive summary
EBITDA grew 18.3% year-over-year to INR 183 crore, with PAT up 17.3% to INR 128 crore, marking record profitability despite muted AUM growth and challenging market conditions.
Operating revenue increased 11.5% year-over-year to INR 395 crore, driven by both mutual fund and non-mutual fund business expansion.
Maintained mutual fund market share at 67.2%, with equity AUM and SIP metrics outperforming industry growth and unique investor base up 16.8% year-over-year.
Unaudited standalone and consolidated financial results for Q1 FY27 were approved, with statutory auditors issuing unmodified limited review reports.
Interim dividend of INR 2.5 per share declared, with record date August 12, 2026, and disbursement by August 30, 2026.
Financial highlights
EBITDA margin expanded by 270 bps year-over-year to 46.4%, with PAT margin rising to 31.1%.
Non-mutual fund revenue grew 28.4% year-over-year, now contributing 14.9% of total revenue.
Cost increase was kept below 7% year-over-year (excluding depreciation), with headcount reduced by over 200 quarter-over-quarter and 85 year-over-year.
Cash and cash equivalents stood at INR 971.45 crore as of June 30, 2026.
Standalone and consolidated net profit for Q1 FY27 were INR 12,181.36 lakhs and INR 12,709.52 lakhs, respectively.
Outlook and guidance
Blended revenue growth expected at 13% and EBITDA growth at 16% for FY 2027, with non-mutual fund revenue guided at 20%+ and mutual fund revenue at 12%.
Employee cost growth targeted at 5% year-over-year, with overall cost increase capped at 10% for the next 2-3 years.
PAT margin expected to remain around 30-31%.
Acquisition of additional 20.91% in Think Analytics India Private Limited for INR 17.73 crore to close by September 2026, supporting BFSI sector digital solutions expansion.
Continued focus on revenue diversification, digital transformation, and AI-led initiatives.
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