Chola MS posts ₹1,997 cr GWP in Q1FY26

Cholamandalam MS General Insurance Company Ltd (Chola MS), a joint venture between the Murugappa Group and Japan’s Mitsui Sumitomo Insurance, has posted a Gross Written Premium (GWP) of ₹1,997 crore for the first quarter of financial year 2025–26.

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The insurer registered a 2.7% year-on-year growth in GWP for the quarter, driven by the implementation of the 1/n premium recognition method introduced on October 1, 2024. On a full premium basis, the growth stood at 7.9%. The company also reported ₹102 crore in long-term non-motor premium, the recognition of which has been deferred to respective annual periods, according to a statement.

Profit Before Tax (PBT) for the quarter stood at ₹144.77 crore, down from ₹178.96 crore in the same period last year. The drop in profit was attributed to increased provisioning for motor third-party claims, prompted by rising claim award values and stagnant third-party premium rates over the past four years. Additionally, several large claims in the fire insurance segment had an adverse impact on profitability.

Despite the dip in earnings, Chola MS maintained its financial footing. As of June 30, 2025, the company’s net worth rose to ₹3,106 crore. The solvency ratio stood at 2.17 times, comfortably above the regulatory requirement of 1.5 times. Return on equity for the quarter was reported at 3.45% (non-annualised).

V Suryanarayanan, Managing Director of Chola MS, stated that the company remained steadfast in its pursuit of sustainable and profitable growth. He noted that continued investments in digital platforms, data-led decision-making, and strategic distribution partnerships had helped the company stay resilient and future-ready.

Chola MS extended coverage to over 6 lakh lives across 1,56,825 Gram Panchayats. The company also enhanced its distribution network through strengthened partnerships.

On the technology front, key milestones included the Phase I launch of a company-wide Data Platform and migration to a new ERP system aimed at improving operational efficiency and enabling data-driven decisions.

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