India’s companies insure their buildings against fire but leave their earnings exposed to heat, floods, and failed monsoons. Parametric insurance, backed by smarter contracts and public money, can close that gap.

Ask CFOs across India for a climate story and the answers sound alike. A plant in the vicinity of a Metro lost a week of output due to waterlogged access roads. A solar park in Rajasthan whose output fell short of the bank’s ask on covenants for an unusually cloudy season. A dairy cooperative watching milk procurement slide downwards as summer temperatures stayed above 42° C for days on end. In most of these cases, nothing was “damaged” in the insurance sense. Nothing burned, nothing collapsed. And so, nothing was paid.
That is the quiet crisis behind the headlines. Globally, about half of the ~$250 billion economic losses from natural catastrophes in 2025 were uninsured. In India the picture is starker: more than 90% of disaster exposure carries no insurance at all, and disasters cost the country up to 0.4% of GDP a year. Governments step in with relief after the event, but relief is slow, partial and designed for households who vote, not for businesses whose revenues and margins decline.
Parametric insurance offers a different bargain. Instead of sending a loss surveyor to measure damage, the policy pays a pre-agreed sum when an independent index crosses a threshold: rainfall above a set level over three days, a temperature-humidity reading above a limit for a week, wind speed beyond a turbine’s operating range, sunlight below a generation metric. The data comes from the Indian Meteorological Department, satellites or on-site sensors. Payouts arrive in days or weeks, not years, and the money can be used for anything: payroll, debt service, cattle feed, an emergency supplier.
This is not theory in India. Nagaland insured the entire state against extreme rainfall with SBI General and paid its first claim of over ₹1 crore in 2025. In Gujarat, the Self-Employed Women’s Association’s heat cover paid more than 46,000 members in 2024; this summer, women workers in Gujarat and Delhi insured through Mahila Housing Trust received payouts again. In Kerala, Milma has piloted heat-index cover that pays dairy farmers when temperatures stay above set limits for six days or more.
Manufacturing: A heatwave is not an insured peril under a standard property policy. Neither is a flood that cuts roads and power without touching the factory. Yet these “non-damage” interruptions are exactly what modern supply chains suffer. A parametric layer keyed to a river gauge, local rainfall or daily maximum temperature can cover lost margin and extra costs, and it can be bought for a critical supplier's location as well as one's own.
Renewable energy: A solar or wind project sells weather energy . When irradiance or wind speed falls revenue’s take a drop, but the loan instalment does not. With round-the-clock and firm-supply tenders adding penalties for shortfalls, a cloudy season can become a contractual liability. Parametric volume cover, already used by some Indian developers, pays when the index falls below an agreed baseline and protects debt-service ratios.
Dairy: Cows begin to suffer heat stress at modest temperature-humidity levels, eat less, and give less milk; yield falls of 10-25% are common in hot zones. Traditional livestock policies pay only when an animal dies. A cooperative or processor that buys heat-stress cover for its supplier base protects farmer incomes and its own procurement in one contract.
Insurance alone will not save a company whose contracts put climate risk in the wrong place. Most force majeure clauses still rely on words like “unforeseeable” and “act of God”. As extreme weather becomes routine, courts and counterparties will increasingly argue that a heavy monsoon was foreseeable, and the excuse will fail.
The solution lies in embedding the climate risk into the contract by Indices and numbers. A government-backed report from the Coalition for Disaster Resilient Infrastructure this April recommended exactly this for infrastructure: force majeure tied to measurable thresholds such as wind speed and flood levels, and resilience obligations written into construction contracts.
Companies should do the same in every material contract, and make few of the below changes at the next Insurance and contract renewal:
1. Define a “climate event” by index, threshold and named data source, the same ones the parametric policy uses.
2. Replace or complement the force majeure clause, with risk-sharing: adjusted volumes or prices for a period
3. Add an insurance covenant saying who buys the parametric cover, for what limit, and who receives the payout very clearly in the contract or a bank’s covenant schedule.
4. In power purchase agreements, carve weather-verified shortfalls out of generation penalties, or allow the generator to hedge them.
5. Ask lenders to recognize parametric payouts in debt-service covenants, so the cover lowers the cost of missing covenants and mitigates contingencies.
The parametric policy itself needs equal care: a precise index, a fallback data source if the primary one fails, a sliding payout scale rather than a single cliff-edge trigger, a firm settlement timeline, and expert determination for disputes.
Governments cannot insure everything, but they can make risk transfer the default rather than the exception. The National Disaster Management Authority and the Department of Financial Services have confirmed that states may use their disaster mitigation funds to pay insurance premiums, yet only a handful have done so. The Union Budget sets aside more than ₹2 lakh crore for disaster risk financing over 2026-31. Sovereign green bonds, now a regular part of the borrowing calendar, list climate adaptation as an eligible use.
Abroad, money is moving too. At COP30 in Belem, countries agreed vide “Global Mutirão decision”, to work towards tripling adaptation finance by 2035 to $120 billion. The Global Shield against Climate Risks, pays premium subsidies for vulnerable countries. Catastrophe bonds, which let governments pass their worst-case losses to capital-market investors, set an issuance record of $25.6 billion last year and are on a similar pace this year.
India should issue model guidelines for states, back a national catastrophe pool reinsured by GIC Re and global markets, and invest in denser weather data so that triggers match losses more closely.
Parametric cover has limits. Payouts may not match actual losses, premiums will rise as extreme events become more frequent, and no policy is a substitute for building plants above flood lines or cooling sheds for cattle. But the traditional alternative of waiting for relief after each disaster, is already failing businesses and budgets alike.
For CFOs and boards, the agenda for the coming year is short. Map climate exposure across plants, sites and suppliers. Quantify the losses that existing policies would not pay. Buy one parametric cover for the biggest gap. Rewrite key contracts at renewal so that the force majeure clause, the insurance clause and the payout clause all point to the same weather reading.
The weather has become a balance-sheet event. It is time our balance sheets, and our contracts, were written for it.
(The author is a chartered accountant. Views are personal.)