Tiruppur's Job-Work Chain: Why Your Stock at a Sub-Contractor's Unit Is Uninsured

Tiruppur garment exports were approximately Rs 42,544 crore in FY2025-26, with the cluster reporting a 4.9 per cent decline for the year amid global trade challenges, according to Textile Times (2026). How that value is produced matters more than the number. Business Standard's reporting on the cluster describes roughly 5,000 export units running a highly fragmented processing and job-work chain, with capacity utilisation swinging sharply with order flow. Almost no exporter in Tiruppur owns the full production line.

A single export order moves through a sequence of independently owned units: greige knitted fabric to a dyeing house, then compacting, printing, embroidery, cutting and stitching, then checking, ironing and packing, sometimes at a fifth address. Each hop is a job-work arrangement. The exporter retains ownership and pays a processing charge, and the job worker holds the goods on its own premises for two days to three weeks.

Title never moves. The exporter owns the goods throughout, carries the risk of loss, and holds the insurable interest. What moves is the physical location, and the exporter's fire policy is written on the exporter's own address.

That is the gap. On any given day a Tiruppur exporter may have more value sitting at four or five sub-contractor addresses than inside its own declared premises, none of it covered by the policy it believes protects its stock. Textiles including handloom products were among the major drivers of India's July 2026 merchandise export growth, which reached a record $44.24 billion, up 19.63 per cent year on year, per Commerce Ministry data released on 13 August 2026. Much of that flow passes across premises the exporter does not insure.

A standard fire and special perils policy on stock is a location-based contract. The schedule names a risk address, the sum insured attaches to stock at that address, and the rating is built from that address's construction, occupancy, protection and exposure. Move the goods off it and the cover does not follow. This is not an exclusion buried in the fine print; it is the operating logic of a property policy. There is nothing for the insurer to repudiate, because the policy never attached at the dyeing house. A fire there destroys the exporter's fabric and its fire policy responds with nothing.

The three assumptions that create the loss

Exporters arrive here through one of three beliefs, each wrong in a specific way.

1. "The job worker's policy will cover it." That policy insures the job worker's own building, plant and stock. Goods held for others are customer property, and unless the unit has declared and insured goods held in trust or on commission for which the insured is responsible, the fabric is outside its sum insured too. Where the extension exists it is usually a small sub-limit shared across every customer with goods on site.
2. "The transit policy covers it." A marine or inland transit cover attaches while the goods are in the ordinary course of transit and terminates on delivery at the destination. Once the fabric is unloaded and stacked at the dyeing house awaiting a batch slot, it is in storage, not transit, and the transit cover has run off.
3. "The job worker is liable, so I will recover from him." A bailee's liability is for negligence, not a guarantee against loss. If the fire started in a neighbouring unit, there is no negligence to establish, and a job-work unit's balance sheet rarely absorbs the value of an export order even where liability is clear.

The first of the two workable fixes is a floater or declaration floater policy, and the distinction matters.

A floater policy covers stock at multiple specified locations under a single sum insured that floats across all of them rather than being split location by location. If the exporter holds Rs 8 crore spread unevenly across its own godown and four processing units, a floater with a Rs 8 crore sum insured responds wherever the stock is on the day of the loss. A floating policy fits when location is variable but total holding is reasonably predictable.

A declaration policy addresses quantum. Stock in a job-work cluster peaks before shipment deadlines and empties after them. Under a declaration basis the exporter fixes a sum insured at the expected peak, pays a provisional premium (commonly 75 per cent of the full premium), files periodic declarations, and the premium is adjusted at expiry against their average, subject to a minimum retention of usually 50 per cent.

A declaration floater combines both, which is the shape a Tiruppur exporter needs.

The conditions that decide whether it pays

These mechanics carry conditions that are easy to breach in a fast-moving cluster.

• Locations must be declared. A floater covers the specified locations, not any location. A unit brought in mid-season because the usual dyer was full is not covered until added by endorsement.
• Declarations must be honest and timely. Under-declaring invites the average clause: stock declared at Rs 4 crore against Rs 7 crore actually held settles a partial loss at roughly 57 per cent.
• The sum insured must be set at the true peak. It is a ceiling, and any declaration above it is capped.
• Storage conditions drive the rate. The insurer rates the floater on the worst location in the schedule, so a poorly protected dyeing house drags the whole programme's terms.

The second fix goes further. A stock throughput policy is a marine-based cover that follows the goods continuously through transit and storage, from the point at which the exporter's insurable interest attaches to final delivery, including every intermediate stop. For a chain with six or seven transitions, the appeal is structural: there is no handover for a loss to fall through.

Under a split programme the exporter holds a fire policy for its own premises, a floater extension for named job workers, and a transit policy for the moves between, each attaching and terminating on its own terms. Fabric unloaded at the printing unit but not yet booked into its stock register sits in the seam between a transit cover that has run off and a storage cover that may not have attached. Multiply that by the number of hops in a Tiruppur order and the probability of a loss landing in one stops being theoretical. Our post on stock throughput claims in India works through how concurrent causation and sum insured mechanics play out at those joins.

What throughput cover changes

• Continuity. One wording attaches once and stays attached across transit, storage, processing and re-transit. No instant at which goods sit between policies.
• One insurer on the whole risk. No argument between a marine insurer and a property insurer about which responds. The cause is tested against one set of perils and exclusions.
• A single valuation basis. Invoice cost plus freight, insurance and an agreed markup, applied across the chain.
• Premium follows throughput. Cover adjusts against actual volume processed rather than a static estimate, which suits a cluster whose utilisation swings with order flow.

What it does not solve

Throughput cover still carries a location limit capping the insurer's liability at any one site regardless of the overall sum insured. If Rs 6 crore of fabric is concentrated at one dyeing house during a pre-shipment crunch and the location limit is Rs 3 crore, half is uninsured whatever the aggregate says. Storage locations still have to be disclosed and rated. It changes the coverage architecture, not the facts.

Once cover extends to a sub-contractor's premises, the exporter has taken on that premises' fire risk. The underwriter prices it that way and the surveyor investigates it that way after a loss.

The fire load in a Tiruppur processing chain is high and specific. Dyeing houses run thermic fluid heaters and boilers at high temperature next to stacked wet and dry fabric. Printing units hold solvent-based inks and cleaning solvents. Compacting and drying run heated rollers and stenters continuously. Embroidery and stitching units stack dense combustible material, cotton lint and packing cartons, often on a rented upper floor of a mixed-occupancy building with one staircase. Once ignited, the damage is usually total for the affected bay.

What the underwriter asks about each location

• Construction and occupancy. A standalone shed, or one floor of a building shared with occupancies the exporter does not control?
• Heat sources. Is the boiler or thermic fluid heater in a separated room, or in the same hall as the fabric?
• Electrical condition. Is there a current thermography report? Loose connections and overloaded distribution boards are the most common ignition source in the cluster.
• Protection. Working extinguishers, hydrants, detection, or none? Most small units have none.
• Housekeeping and stacking. Fabric against distribution boards, lint on motors, no aisle separation.

Our risk profile of garment export factories covers this hazard set, and the companion piece on Tiruppur exporters ramping fast shows how the gaps widen when the order book turns.

The disclosure obligation

The exporter is the proposer, and the duty of utmost good faith attaches to it, not to the job worker. Declaring a unit as a covered location without disclosing that it stores solvent in the same hall as the fabric, or that a fire occurred there eighteen months ago, gives the insurer a strong position on a later claim. Adding a location is a disclosure event, which argues for keeping the schedule tight.

Cover pays for the loss; the job-work agreement decides who is answerable and preserves the insurer's recovery route. An exporter needs both. The following belongs in a written agreement with every processing unit, signed before the first delivery challan is raised.

1. Ownership and bailment stated explicitly. The goods remain the exporter's property throughout, and the job worker holds them as bailee under sections 148 to 161 of the Indian Contract Act, 1872, owing the duty of care of a bailee for reward.
2. A goods-held-in-trust declaration. Require the job worker's fire policy to carry a goods held in trust or customers' goods extension with a stated sub-limit, and demand the schedule showing it. This is a second line of recovery, not a substitute for your own cover.
3. Named-location consent. The job worker confirms the exact address at which goods will be held and agrees not to move them elsewhere, including to a sister unit or further sub-contractor, without written consent. Onward sub-contracting without notice is the fastest way to void a floater.
4. A right of survey and inspection. The exporter, its broker and its insurer's surveyor may inspect before goods are sent and after any incident.
5. Maximum holding value and duration. State the maximum value the unit may hold at one time and the maximum days, so accumulation stays inside the location limit.
6. Immediate incident notification. Within a fixed short period of any fire, flood, theft or water damage at the premises, whether or not your goods appear damaged. Late intimation is a routine ground for dispute.
7. No waiver of subrogation. Do not sign an agreement limiting the job worker's liability to the processing charge, or waiving your insurer's right of subrogation, without the insurer's agreement.
8. Stock records and reconciliation. A signed goods-receipt acknowledgement against every delivery challan, and a monthly reconciliation of quantities held.

The eighth point carries weight beyond its position. Job-work claims fail on proof of quantum more often than on coverage: the goods are destroyed, the job worker's records burn with them, and the exporter proves what was there from GST job-work challans, e-way bills and its own dispatch registers. Those must be complete and reconciled while nothing has gone wrong.

For an exporter starting from a single-location fire policy, this fits inside one renewal cycle.

Begin by listing every address that has held the company's goods in the last twelve months, from job-work challans rather than memory, recording the highest value held at one time and the longest duration. Then set the sum insured on what the company holds off-site on the worst day of the pre-shipment crunch rather than on an annual average, because averaging is how exporters end up in an average-clause settlement on a claim that should have paid in full.

On structure, a floater on named locations plus a declaration basis is adequate where the chain is stable and the job workers are few. A stock throughput policy is the better answer where the chain is long, the units change with the season, and the transit legs are frequent. Turnover alone is not the test; the number of transitions is.

Then read the wording, not the schedule. Insurers differ on whether goods at a sub-contractor are covered as of right or only by endorsement, whether processing risk (damage caused by the dyeing or printing process itself) is excluded, what the location limit is, and how quickly a new location must be notified for cover to attach. Two policy wordings behind identical schedules can settle the same fire differently. Run the contractual side in parallel, before peak season rather than during it.

Getting this right depends on reading the floater, declaration and throughput wordings closely enough to see which covers stock at an unowned premises, on what conditions, and up to what per-location cap. Sarvada gives commercial insurance brokers structured, searchable access to insurer policy wordings, so floater conditions, declaration and adjustment clauses, location limits and goods-in-trust extensions can be compared across insurers before a job-work programme is placed. Request Access to place Tiruppur job-work cover on the wording detail rather than on the schedule.