Expense Ratio (General/Health) in Indian Insurance

%generalhealthRegulatory native

Definition

Expense of Management (EOM) as a percentage of Net Written Premium, from IRDAI NL-20. Measures operating cost efficiency after reinsurance cession.

Note: Two NL expense ratios exist: EOM/NWP (this metric) and EOM/Gross Direct Premium. Do not substitute denominators without disclosure.

Source form: NL-20 ·Source documents

Lowest to Highest

Latest available value per insurer — Q1 FY26-27

#InsurerExpense Ratio (%)Period
1Agriculture Insurance Company of India-235.9Q1 FY26-27
2New India Assurance18.1Q1 FY26-27
3Oriental Insurance Company19.1Q1 FY26-27
4HDFC ERGO General Insurance23.1Q1 FY26-27
5Universal Sompo General Insurance24.0Q1 FY26-27
6Aditya Birla Health Insurance26.0Q1 FY26-27
7ECGC28.5Q1 FY26-27
8Royal Sundaram General Insurance30.3Q1 FY26-27
9Bajaj Allianz General Insurance30.4Q1 FY26-27
10ManipalCigna Health Insurance31.0Q1 FY26-27
11Star Health Insurance32.0Q1 FY26-27
12SBI General Insurance32.3Q1 FY26-27
13Reliance General Insurance33.1Q1 FY26-27
14Care Health Insurance34.0Q1 FY26-27
15Zuno General Insurance34.0Q1 FY26-27
16Magma General Insurance34.1Q1 FY26-27
17IFFCO Tokio General Insurance34.4Q1 FY26-27
18Chola MS General Insurance34.8Q1 FY26-27
19National Insurance Company35.4Q1 FY26-27
20United India Insurance35.5Q1 FY26-27
21Navi General Insurance36.0Q1 FY26-27
22ICICI Lombard General Insurance36.2Q1 FY26-27
23Tata AIG General Insurance37.0Q1 FY26-27
24Shriram General Insurance37.4Q1 FY26-27
25Acko General Insurance38.8Q1 FY26-27
26Digit General Insurance39.0Q1 FY26-27
27Liberty General Insurance40.0Q1 FY26-27
28Narayana Health Insurance40.0Q1 FY26-27
29Generali Central Insurance (formerly Future Generali)40.2Q1 FY26-27
30Niva Bupa Health Insurance44.9Q1 FY26-27
31Zurich Kotak General Insurance46.0Q1 FY26-27
32Raheja QBE General Insurance53.7Q1 FY26-27
33Galaxy Health Insurance93.1Q1 FY26-27
34Kshema General Insurance201.7Q1 FY26-27

Source: IRDAI public disclosures (NL-20). Click an insurer name for full provenance and historical data.
Machine-readable: this metric as JSON · all facts as CSV