On July 15, the polyester filament yarn market witnessed a sharp downturn in transaction data. Industry public data shows the average sales-to-production ratio of sample enterprises fell to 42.3%, a steep decline of 24.7 percentage points from the previous trading day. This figure means that for every 100 tons of polyester filament yarn produced, only about 42 tons were purchased by downstream customers, with nearly 60% turning into inventory.
Supply-Demand Logic Behind the Plunge
A sales ratio below 50% is not rare in the chemical fiber industry, but a single-day drop exceeding 24 percentage points warrants attention. Among the 24 sample enterprises, only two recorded ratios above 100%—160% and 100% respectively—while six fell below 30%, with one hitting zero. This extreme divergence indicates that the market is not universally shrinking, but demand is highly concentrated among a few suppliers with price advantages or product differentiation.
Downstream users' current strategy is clear: adopt a wait-and-see approach and only replenish for immediate needs. This mindset typically emerges when price decline expectations are strong—buyers fear that purchasing now could lead to inventory depreciation if raw material prices fall further. As a result, even with actual production needs, they tend to buy on a just-in-time basis, lengthening procurement cycles.
Inventory Pressure Transmits Upstream
Low sales ratios directly increase inventory for polyester filament yarn producers. Industry norms suggest that when the ratio stays below 60% for consecutive days, enterprises face overstocking risks, forcing production cuts or price reductions. Price cuts, in turn, reinforce downstream wait-and-see attitudes, creating a negative feedback loop of 'lower prices, lower purchases.'
More critically, this pressure is transmitting upstream. The raw materials for polyester filament yarn—PTA and MEG—also face weakening demand. If polyester producers lower operating rates due to high inventory, their procurement of PTA and MEG will shrink, dragging down raw material prices. This suggests the July 15 data fluctuation may be just the beginning of a broader adjustment across the chemical fiber chain.
Regional Industrial Clusters and Seasonal Factors
Geographically, polyester filament yarn capacity is concentrated in Zhejiang and Jiangsu provinces, especially in clusters like Shaoxing, Tongxiang, and Shengze. Small and medium-sized weaving enterprises in these areas have recently reported weak order intake, with operating rates hovering around 60-70%, naturally dampening raw material procurement. July is traditionally a slack season for textiles, compounded by high temperatures causing power rationing or staggered production at some factories, making significant demand recovery unlikely in the short term.
However, the 160% ratio at one company shows that market bright spots exist. Enterprises with advantages in differentiated products (e.g., cationic modified polyester, high-elastic yarn) or flexible pricing can still lock in downstream orders. This signals that under homogenized competition, sales ratio divergence will become the norm, challenging the scale-driven model.
Key Variables for Future Trends
In the near term, whether polyester filament yarn prices can stabilize depends on two variables: whether upstream PTA cost support weakens, and how quickly downstream weaving enterprises digest their inventory. If PTA remains firm due to crude oil price fluctuations or plant maintenance, the downside for polyester filament yarn will be limited; otherwise, a new round of price cuts to destock may begin.
For buyers, now is the time to closely track enterprise sales ratios and inventory data. When sample enterprises' ratios consistently recover above 60%, it often signals a price bottom is near, making it an opportune time to increase procurement. For foreign trade firms, be wary of overseas customers demanding price adjustments or order delays due to Chinese raw material volatility; consider incorporating floating pricing clauses in contracts to hedge risks.