The polyester filament yarn market on July 14 presented a classic 'fire and ice' scenario: average sales-to-output ratio among sample enterprises reached 67%, up 13 percentage points from the previous day, but internal data showed extreme divergence—some mills hit 300% while others languished between 35% and 60%. This split is no coincidence but a phased release of supply-chain sentiment and cost dynamics.
Cost-Driven vs. Demand Elasticity
Rising polymerization costs were the direct catalyst. Upstream raw material price strength pushed polyester filament prices steadily higher, prompting some downstream users to make emergency restocking, pushing local sales-to-output to around 300%. However, most enterprises reported that high-price resistance is rapidly intensifying, with replenishments more 'passive follow-through' than 'active bullishness.'
Data shows only a minority of sample mills achieved sales-to-output above 100%, with most stuck in the 40%-70% range. This indicates overall demand elasticity has not been effectively activated by cost increases. The current price rise is more cost pass-through than demand pull—once cost support loosens, downstream wait-and-see sentiment could quickly translate into price-cutting or volume reduction.
'Temperature Difference' in Supply-Chain Transmission
Behind the divergence lies a rebalancing of profit distribution along the chain. Polyester plants, under cost pressure, attempt to pass through price increases, but the weaving sector faces dual pressures of slow terminal order recovery and high finished-goods inventory, limiting its capacity to absorb expensive raw materials.
Specifically, high-sales-volume mills are concentrated in niche categories tied closely to fast-response orders, while conventional specifications face slower offtake. This structural divergence suggests that cost-driven rallies lack sustainability, and the market is shifting from 'broad-based gains' to 'structural gains.'
For textile enterprises, this means inventory management must shift from 'watching the market index' to 'watching the product mix'—price elasticity and demand resilience vary increasingly by specification and application.
