Insurers Now File Premium and Claims Monthly: Turning IRDAI's New Statistics Feed Into a Counterparty Check

On 7 August 2026, IRDAI issued a circular on submission of information by insurers on a monthly basis, for the purpose of the Index of Service Production (ISP) compiled by the Ministry of Statistics and Programme Implementation (MOSPI). The filing obligation starts with July 2026 data, so the first monthly returns are already due as this is written.

The scope is specific. General and health insurers, excluding reinsurers, must report three figures every month: Gross Direct Premium, Claims Paid (Direct) and Investment Income, and each figure must cover both policyholders' and shareholders' funds. Life insurers file a parallel set: Gross Premium, Gross Benefits Paid and Investment Income, with the same policyholder and shareholder split.

The circular is issued under Section 14(2)(h) of the IRDA Act, 1999, the provision under which the Authority calls for information from insurers. It also states plainly that it does not alter existing disclosure requirements or financial-statement norms under the Insurance Act, 1938 or the IRDA Act, 1999. Nothing in an insurer's audited accounts changes. What changes is that a compact set of output numbers now flows to the national statistics system twelve times a year instead of being visible only in quarterly and annual disclosures.

On its face this is plumbing between two arms of government. MOSPI wants insurance output inside a monthly production index for services, and IRDAI is the natural collection point. A commercial insurance buyer might reasonably ask why a statistics return deserves attention.

The answer is cadence. Today, the public read on an insurer's claims experience arrives with the quarterly disclosures, and the full picture only with the annual accounts. Premium has been the exception, since monthly business figures for general insurers already circulate publicly. Claims have not. A monthly series that pairs claims paid with gross direct premium, month after month, is a different kind of visibility. It moves the observable gap between what insurers collect and what they pay out from a 90-day lag to something close to real time.

One honest caveat belongs here. The circular obliges insurers to file the data with IRDAI for the ISP. How much of it reaches the public, at what level of aggregation and with what delay, depends on how MOSPI and IRDAI publish it. A production index is by construction an aggregate, so the guaranteed output is an industry-level monthly signal. Even that is useful, because industry-level claims-paid growth against industry-level premium growth is the backdrop every renewal negotiation happens in front of. If insurer-wise or segment-wise detail becomes available, the monitoring described below sharpens from market-level to counterparty-level.

The three reported figures are narrow by design, and reading them well starts with knowing their limits.

What the series will show:

• Gross direct premium, monthly. The top line, before reinsurance, so it measures how much business insurers wrote, not how much risk they kept.
• Claims paid (direct), monthly. Cash actually leaving insurers for claims, before reinsurance recoveries.
• Investment income, monthly, split between policyholders' and shareholders' funds. The policyholder-fund portion is the income earned on the assets backing insurance liabilities.

What it will not show:

• Incurred claims. Claims paid is a cash figure. Incurred claims add the change in outstanding reserves and IBNR, and that is what a loss ratio in the accounting sense is built on. The monthly feed contains no reserve movement.
• Expenses. No commission or operating-expense data, so no combined ratio can be derived from it.
• Line-of-business detail. The headline figures are entity-level totals, not a fire, marine, health and motor split.
• Solvency. Nothing in the feed measures capital adequacy. Solvency remains a quarterly disclosure item.

The useful derived number is simple: claims paid in the month divided by gross direct premium in the month, tracked as a rolling three-month and twelve-month figure rather than a single month. Call it a paid-claims ratio. It is not a loss ratio, but its direction over several months says something a quarterly report cannot say as quickly.

A growth baseline helps calibrate it. A BCG report, covered by Asia Insurance Post on 17 August 2026, put FY26 gross direct premium income for India's general insurance industry at about Rs 3.36 trillion, up 9% year on year. So roughly 9% is the reference growth rate against which any monthly premium or claims number should be judged.

Three patterns are worth reacting to:

1. Claims paid outgrowing premium for three or more consecutive months. One month means nothing; a monsoon event, a large commercial settlement or a health seasonality swing can move a single month by itself. A sustained divergence, where paid claims grow well ahead of the roughly 9% premium trend, suggests the earned book is running hotter than the written book is growing, and deserves a closer look at the quarterly numbers when they land.
2. Flat or falling premium with rising claims paid. The sharper version of the same signal. A shrinking or stagnant book still paying out on past underwriting is the classic shape of a portfolio in run-off stress.
3. Premium growing far ahead of the market with claims paid flat. This looks healthy and can be the opposite. Rapid top-line growth with no matching claims outflow yet is what aggressive expansion at thin rates looks like in its first year, before the claims arrive. It is a pricing-adequacy question, not a comfort.

Seasonality discipline matters throughout. Compare each month with the same month a year earlier once the series is long enough, and lean on rolling averages until then. The series only starts with July 2026 data, so for the first year the twelve-month view is being built while you watch.

For a broker, the practical output is a monthly counterparty sheet, one row per insurer on the placement panel, or per segment if only aggregated data is published. The sheet carries the three reported figures, the paid-claims ratio on a rolling basis, premium growth against the market baseline, and a flag column driven by the three patterns above.

The monthly feed then slots into the review stack a placement desk should already run. The quarterly disclosures still carry the incurred loss ratio, expense ratio and solvency margin; the annual accounts still carry reserving detail. The monthly series does not replace any of that. Its job is to shorten the time between something changing at an insurer and the broker noticing, so that the quarterly numbers confirm or dismiss a suspicion instead of springing a surprise. The fuller framework for assessing an insurer's financial strength before placing business with it is set out in our piece on insurer financial security as counterparty risk, and the capital-side view of the same question in the piece on IRDAI's move toward risk-based capital.

Escalation should be mechanical. A flag on the sheet does not mean an insurer comes off the panel. It means the next long-tail placement recommendation for that insurer, liability lines especially, where the client will depend on the insurer's willingness and ability to pay for years, gets a written justification that engages with the flag. Counterparty checks fail in practice not because the data was missing but because nobody owned the ritual of looking at it. A monthly government-mandated data point is, among other things, a calendar discipline handed to the broker for free.

The same series works in the other direction, as negotiation evidence.

Renewal pricing conversations in India often run on assertion. The insurer says the portfolio is bleeding and the rate must rise; the broker says the market is soft and it must fall. A monthly public series of premium and claims paid replaces some of that assertion with arithmetic. If the industry series shows claims paid tracking below premium growth for two or three quarters, a broker can put that in front of an underwriter asking for a 15% increase and require the case for the rise to rest on this client's own experience or this segment's specifics, not on a general claim of market pain. The FY26 backdrop of roughly 9% premium growth, alongside the persistent pressure on underwriting results we examined in the piece on FY26 underwriting profitability and the combined ratio, is exactly the kind of context the monthly feed keeps current between annual reports.

The argument cuts both ways, and a broker who only ever quotes the series when it favours the client will stop being listened to. Where the feed shows sustained claims-paid acceleration, the honest advice to the client is to expect hardening, start the renewal early, widen the panel and get the risk presentation in order, because the insurers under visible stress will be the ones repricing hardest.

Two disciplines keep this tool honest.

First, respect what the circular is. It is a statistics feed for the national accounts, issued under IRDAI's information-gathering power, and it says in terms that it changes no disclosure or financial-statement norm. It is not a supervisory early-warning system, and treating a paid-claims wobble as proof of insurer distress would be malpractice. The monthly series directs attention; the audited quarterly and annual numbers, solvency ratios and reserving disclosures carry the conclusions.

Second, the value depends on actually capturing the series. A number glanced at on a MOSPI page and forgotten is worth nothing; a series ingested monthly into the broker's own data store, joined to placement volumes and claims experience per insurer, compounds. Brokerages that have already built structured claims and placement data, along the lines described in our piece on claims data warehouses for broker operations, can add this feed as one more monthly table and have counterparty flags fall out of queries they already run.

The larger point is that the public information environment around Indian insurers keeps getting denser: quarterly disclosures, monthly business figures, and now a monthly premium, claims and investment-income feed into the national statistics system. Each addition rewards the intermediaries who read data as a habit and penalises those who rely on relationships and recollection. Sarvada builds the reading habit into the workflow, giving brokers and corporate risk teams structured, searchable access to policy wordings and the market intelligence around them, so that counterparty signals, wording positions and pricing context sit in one place at renewal time. Broking teams that want claims-paid trends feeding their placement decisions can Request Access to evaluate the platform.