On June 24, the average sales-to-production ratio of polyester filament yarn (POY/FDY/DTY) sample enterprises was only 45.6%. This means that for every 100 tons of filament yarn produced that day, less than 46 tons were absorbed by the market. Although this represents an 11.4 percentage point increase from the previous trading day's close, it remains below what the industry considers the 'warning line'.
Data Behind the Market Signal
A breakdown of the data from over 20 sample enterprises reveals stark divergence. The highest sales-to-production ratio reached 150%, while the lowest was only 10%. More than half of the enterprises recorded ratios below 40%, and only a handful achieved 60% or higher. This 'fire and ice' scenario is no accident.
Enterprises with high ratios typically adopted discount promotions to boost volume. Those with low ratios likely suffered from high asking prices or weak customer loyalty. This divergence highlights a core contradiction: supply capacity continues to expand while demand fails to keep pace.
For buyers, this data signals widening room for price negotiation. Some factories may increase discounts, especially under month-end cash flow pressure. However, excessive price cuts could compress industry-wide profits and lead to subsequent capacity adjustments.
Industry Impact: From Inventory to Profit
A sales-to-production ratio persistently below 50% directly leads to inventory buildup. Polyester filament yarn production is a continuous process; shutdowns are costly, so factories often prefer discounting to maintain operations. But rising inventories tie up capital and increase storage costs.
On the cost side, feedstock prices for PTA and MEG have seen limited fluctuations since June, leaving theoretical processing margins already thin. Discounting further erodes profitability, potentially pushing some small and medium-sized enterprises below breakeven.
For downstream weaving mills, the current low prices may present a restocking opportunity. However, end-user orders in apparel and home textiles have not yet shown clear signs of recovery. Weaving mills should base procurement decisions on actual orders to avoid speculative inventory buildup.
Regional and Product Variations
Geographically, the Jiangsu-Zhejiang region, as the main production base, showed weaker sales-to-production ratios than other areas, due to high capacity concentration and intense competition. In contrast, Fujian and Guangdong, which focus on differentiated products, exhibited relatively stable ratios.
By product type, standard POY and FDY faced greater inventory pressure than DTY. DTY, with added value from texturing and higher-end fabric applications, showed stronger resilience. But overall, all categories are under demand pressure.
Practical Recommendations
For Buyers - Take advantage of month-end promotional windows to lock in low-priced cargoes in batches, but cap total procurement at no more than one month's usage. - Prioritize suppliers with sales-to-production ratios above 60%; these companies have healthier cash flows and lower risk of supply disruption. - Monitor PTA prices; if PTA falls significantly, polyester filament yarn prices may have further room to decline, so consider waiting.
For Factories - Assess inventory structure: aggressively promote high-inventory standard grades while maintaining price stability for low-inventory differentiated grades. - Consider short-term production cuts or maintenance shutdowns to alleviate supply-demand imbalance and avoid a vicious price war. - Strengthen direct supply agreements with downstream weaving mills to stabilize sales through volume commitments.
The current adjustment in the polyester filament yarn market is essentially the culmination of previous capacity expansion clashing with weak end-user demand. The 45.6% sales-to-production ratio is just a number, but it reflects a broader shift from a seller's market to a buyer's market across the chemical fiber supply chain. For industry participants, adapting to this new normal is more important than obsessing over a single day's data.