Why Volatile Stock Values Break a Fixed Sum Insured
A fire policy issued on a fixed sum insured assumes the value at risk is broadly stable across the policy year. For a trading house, an FMCG distributor or a third-party warehouser, that assumption fails. Stock values swing with the buying season, festival build-up, harvest cycles and container arrivals. A grain trader in Madhya Pradesh may hold INR 4 crore of stock in the lean months and INR 22 crore at the peak of the procurement season. If the sum insured is set to the peak, the policyholder pays a full year of premium on a value that is present for only a few weeks. If it is set lower, the average clause reduces every claim in proportion to the shortfall.
This is the structural tension that declaration and floater covers were designed to resolve. Under an ordinary Standard Fire and Special Perils (SFSP) policy, the sum insured is a single figure fixed at inception, and the average condition applies whenever the value at risk at the time of loss exceeds that figure. A stock book that peaks at three or four times its trough cannot be adequately insured by any single number without either large wasted premium or large exposure to average.
The problem has grown sharper since the rollout of Goods and Services Tax. Before GST, businesses maintained small stocking points in each state to manage central sales tax and check-post friction. GST removed that incentive, and stock has consolidated into fewer, larger regional distribution centres. Individual warehouses now hold far higher peak values, the concentration of accumulation is greater, and the gap between average and peak stock at a single location has widened. Brokers advising traders and warehousers need a cover structure that follows the value up and down rather than fighting it with a static number.
How a Fire Declaration Policy Actually Works
The provisional premium and the deposit
A fire declaration policy replaces the fixed sum insured with a maximum sum insured (the ceiling of cover) and adjusts the premium to the stock actually held through the year. At inception the insurer sets the sum insured at the highest value the policyholder expects to hold, and charges a provisional premium. Under the erstwhile All India Fire Tariff wording that most insurers still follow, the provisional premium is 80 percent of the annual premium computed on the full sum insured, paid in advance as a deposit.
Monthly declarations and year-end adjustment
The policyholder then declares the value of stock held on a fixed date each month, usually the last day, submitting the figure to the insurer by a stipulated date in the following month. At expiry, the insurer averages the monthly declared values across the year and recomputes the premium on that average. The deposit is set off against the recomputed figure, and the difference is refunded or collected. A well-run declaration policy therefore charges the trader for the average value carried, not the peak.
Two guard rails matter. First, the value declared on any date cannot exceed the sum insured; any excess is uninsured and does not enter the average. Second, if a declaration is not submitted for a month, the full sum insured is deemed to be the declared value for that month, which pulls up the average and the premium. The refund at adjustment is also capped: under the standard wording the premium retained by the insurer cannot fall below 50 percent of the provisional premium, so a policyholder who over-states the ceiling still pays a meaningful minimum. Declaration cover is available only for stocks, and the minimum sum insured has conventionally been INR 1 crore.
The Floater and Floater Declaration: Stock Across Multiple Warehouses
A declaration policy solves the time dimension, value moving up and down over the year. It does not by itself solve the space dimension, stock sitting at several locations at once and shifting between them. That is the job of the floater.
A floater cover insures stock at more than one specified location under a single sum insured, without allocating a separate figure to each. If a trader holds stock across four warehouses in Bhiwandi, Hosur, Kolkata and Guwahati, a floater lets the full sum insured respond wherever the stock happens to be on the day of loss. This suits businesses that redistribute stock between hubs at short notice, where a location-wise split would repeatedly leave one site over-insured and another short. Because the insurer loses the ability to spread its exposure across fixed location limits, a floater carries a loading; under the erstwhile tariff a floater extension attracted a 10 percent loading over the base rate, and insurers continue to price a loading for the added accumulation risk.
The two mechanisms combine in the floater declaration policy, which lets a policyholder both declare fluctuating values monthly and float the single sum insured across named locations. This is the natural structure for an FMCG distributor or a 3PL warehouser whose stock varies seasonally and moves between depots. The floater declaration attracts a higher loading than a plain floater, reflecting the compounding of two uncertainties for the underwriter: how much stock, and where. All locations must be named and individually rated on their own construction and occupancy features, and stock in the open or in temporary structures is generally excluded or separately conditioned. Keeping the schedule of locations complete and current is the single most common failure point brokers should police.
The Average Clause Still Applies: Where Declaration Covers Fail
Neither cover switches off the average clause. This is the point most often misunderstood at claim stage. A declaration policy is subject to average against the value at risk on the date of loss, not against the sum insured and not against the last declared figure. If the true stock on the day of the fire exceeds the sum insured, average applies to the excess exactly as it would on an ordinary SFSP policy.
Consider a warehouser who sets the sum insured at INR 15 crore to save premium, while genuine peak stock reaches INR 25 crore. A fire at peak causing an assessed loss of INR 10 crore is settled at (15 / 25) multiplied by 10, or INR 6 crore. The declaration mechanism did nothing to help, because the ceiling itself was too low. The discipline a broker must enforce is that the sum insured is set to true peak reinstatement value, and the monthly declarations then bring the premium down for the months when less is held. Declaration saves premium; it does not license a low ceiling.
The standard products aimed at smaller risks change this calculus. Bharat Sookshma Udyam Suraksha (for risks up to INR 5 crore) and Bharat Laghu Udyam Suraksha (from INR 5 crore to INR 50 crore), the IRDAI-mandated standard fire products, waive underinsurance where the shortfall is within 15 percent. Above INR 50 crore, cover reverts to the SFSP wording with full average and no such tolerance, which is precisely the band where most declaration and floater covers for large traders and warehousers sit.
Post-Tariff Rating and GST-Driven Warehouse Consolidation
De-tariffing removed the rate floor
Fire rating in India was governed for decades by the All India Fire Tariff, which fixed rates by occupancy. Pricing was de-tariffed from 2007, and IRDAI progressively withdrew the residual pricing guidance so that, by the early 2020s, insurers rate fire risks freely subject only to filing their rates and their board-approved underwriting policy. Declaration and floater covers, which the tariff had prescribed in both wording and price, are now free-rated on wording that most insurers retained but on rates each insurer sets for itself.
Consolidation is forcing a re-rate
The development shaping 2025 and 2026 is the collision of free rating with a changed warehouse map. GST-driven consolidation has concentrated stock into fewer, larger distribution centres, so the sum insured floating over any one location, and the maximum probable loss at a single site, has risen sharply. Underwriters who priced floater declarations against the fragmented pre-GST network are re-rating them against the new accumulation. Insurers are asking for updated location schedules, MPL and PML studies, and evidence of fire protection at the large hubs before renewing floater declaration cover at the old terms.
For brokers this cuts two ways. Free rating means a well-presented risk, with sprinklered warehouses, hydrant coverage, good housekeeping and a credible declaration history, can be argued down on rate. A poorly documented floater over undisclosed high-value hubs will be re-rated up or restricted through per-location sub-limits and higher deductibles. The reinsurance treaties behind these covers are tightening event and per-location definitions as single-site values climb. The practical result is that the quality of the risk presentation, not just the headline sum insured, now drives the price of declaration and floater stock cover.
Structuring the Cover for Traders, FMCG and Warehousers
Structuring declaration and floater cover well comes down to a handful of decisions a broker should make deliberately for each trader, FMCG distributor or warehouser.
- Set the sum insured to genuine peak reinstatement value, verified against stock ledgers and seasonal purchase patterns, so the ceiling never sits below true peak.
- Choose the mechanism to fit the volatility: declaration alone for a single location with seasonal swings, a floater for multiple locations at stable value, and a floater declaration where both apply.
- Complete and date the schedule of locations, and build a process to notify the insurer when a new hub is added mid-term, because unnamed locations are uninsured.
- Diarise the monthly declaration so no month is missed, since a missed declaration defaults to the full sum insured and inflates the year-end premium.
- Confirm the basis of valuation for stock (usually market value or landed cost) and reconcile it with how the average clause will be applied at claim.
- Compare the underinsurance treatment across the Bharat products and full SFSP, and place the risk in the wording that matches its size and its tolerance for average.
The wording behind each of these decisions varies between insurers even though the products share a common tariff ancestry. Loadings for floater and floater declaration, the cap on premium refund, the treatment of stock in the open, and the per-location sub-limits an insurer will impose differ across policy documents that look superficially alike. Sarvada lets brokers search and compare the actual declaration, floater and SFSP wordings of Indian insurers side by side, so the structure recommended to a client rests on the clause that will be applied at claim rather than on memory of last year's policy. To see how it works on your own placements, Request Access.