On July 8, the average sales-to-production ratio of polyester filament yarn sample enterprises reached 103.6%, a sharp increase of 60.7 percentage points from the previous trading day. The immediate trigger was the synchronized rise in crude oil and polyester raw material prices, but the more noteworthy aspect is the extreme divergence within the data—ranging from 10% to 300%—indicating that the market is not broadly recovering; rather, a few companies are capturing most of the incremental orders.

Event Background

The surge in the sales-to-production ratio on July 8 was essentially a result of cost-side transmission and sentiment resonance. International oil prices rebounded after early fluctuations, driving up prices of PTA, MEG, and other polyester raw materials. Downstream weaving mills, fearing further raw material cost increases, rushed to restock. However, China Customs data shows that the export growth rate of polyester filament yarn has slowed to single digits in the first half of this year, with no explosive growth in domestic textile end orders.

The jump from 42.9% to 103.6% means that sample enterprises sold more than they produced that day, with some even depleting earlier finished goods inventory. But looking at the details: some companies achieved a ratio of 300%, while others only managed 10%. This "ice and fire" pattern reflects that market resources are rapidly concentrating among leading enterprises, while small and medium-sized firms face liquidity pressure.

Industry Impact

For polyester plants, a short-term spike in the sales-to-production ratio does not directly translate into improved profits. National Bureau of Statistics public data shows that the average operating rate for the polyester filament yarn industry remained above 88% in June, indicating ample supply-side flexibility. Once the downstream restocking impulse fades, inventory pressure will return to the polyester link, and the risk of price wars has not been eliminated.

A more profound impact lies in the changing logic of downstream stocking. In the past, weaving mills preferred to buy on demand, maintaining low inventory to avoid price decline risks. But the July 8 data shows that when cost-side signals are clear, downstream quickly switches to a "panic buying" mode, releasing concentrated procurement demand. This "pulse-like" purchasing behavior makes it increasingly difficult for polyester plants to predict sales rhythms, challenging traditional monthly pricing models.

Feedback from weaving clusters like Shengze and Changxing confirms this: gray fabric orders did not increase significantly in early July, but raw material purchases suddenly surged, suggesting that this restocking was more speculative than demand-driven. Once the raw material price rally stalls, this inventory may suppress subsequent purchases.

Practical Recommendations

For Buyers - Increase raw material inventory moderately in the short term, but avoid exceeding 15 days of usage to guard against cost pullbacks. - Focus on enterprises with a ratio above 200%—they may have oversold, potentially delaying delivery; include clear delivery terms in contracts. - Use sales-to-production data as a bargaining tool: companies with ratios below 70% are often more willing to offer discounts.

For Foreign Trade Companies - The July 8 ratio surge may be interpreted by overseas clients as a "warming Chinese polyester market," providing an opportunity to signal rising costs and push for higher export order prices. - However, be cautious: the container freight index has been declining recently, indicating weak overseas demand. Price increases should be limited to 2%-3% to avoid driving clients to alternative suppliers like India or Vietnam. - Use platforms like Huaxianbang to track real-time sales-to-production data, and treat a "ratio exceeding 100%" as a reference trigger for price adjustment mechanisms.

资料来源:化纤邦查看原始资料
⚙
Manage your textile business with Jenny ERP
Sample · Order · Customer · Inventory · Production tracking — built for fabric mills and trading companies.
Try Free