The international oil price movement on August 7 gave textile chemical fiber practitioners a taste of "two extremes in one day." During trading, Brent crude briefly fell below $81 per barrel, and WTI dipped to $75.82, both down more than 2%. However, at the close, New York light sweet crude rose 89 cents to $78.18, while London Brent rose $1.06 to $83.55. Such sharp intraday reversals mean chaotic cost expectations for the polyester chain, which relies on crude oil as its upstream source, directly testing the inventory management and procurement rhythm of chemical fiber enterprises.
Background
The direct trigger for this volatility was a rapid shift in geopolitical signals. During the session, news emerged that US officials said negotiations between Oman and Iran over the Strait of Hormuz were progressing and a deal was expected soon, easing concerns about supply disruptions and sending oil prices sharply lower. However, the market then reassessed the uncertainty of the agreement's implementation, coupled with some technical buying, and prices recovered strongly before the close. For the textile industry, the Strait of Hormuz is a vital chokepoint for about one-fifth of global oil shipments, and its situation directly affects supply expectations, which then transmit through naphtha, PX, PTA, and polyester filament to fabric costs.
In fact, this is not the first time oil prices have shown amplitude exceeding 2% in a short period. Since the second quarter, repeated geopolitical conflicts and OPEC+ production policy shifts have significantly raised oil price volatility. For chemical fiber enterprises, uncertainty in raw material costs is more troubling than the price level itself—when oil prices first fall then rise within a day, polyester plant quotations often lag by half a beat, leaving downstream weaving enterprises unable to lock in costs and forcing them to adopt a wait-and-see approach.
Industrial Impact
The transmission of oil price fluctuations to the textile chain is not synchronized. Historically, crude price changes take 2-3 trading days to transmit to PX, 3-5 days to PTA, and typically 5-7 days for polyester filament prices to react. This means that the August 7 oil price decline followed by a rise may only be reflected in polyester product quotations early next week. For weaving enterprises with orders in hand, this implies that this week's procurement window may face re-pricing risk; for chemical fiber plants, they must guard against the dual pressure of raw material inventory depreciation and product quotations falling below costs.
More profoundly, oil price volatility is reshaping the procurement psychology of textile enterprises. Over the past year, many companies have been accustomed to just-in-time procurement and low inventory operations to avoid downside risks. However, when intraday oil price swings exceed 2% become the norm, the drawbacks of this strategy emerge—in rapid price increases, low-inventory firms are forced to accept high-priced raw materials; in sharp drops, high-inventory firms face depreciation losses. Industry public data shows that in the first half of this year, the average inventory days of polyester plants dropped from about 12 days at the start of the year to around 9 days, yet price volatility risk has increased, reflecting market anxiety over cost uncertainty.
For foreign trade enterprises, oil price fluctuations add a third uncertainty beyond exchange rates and freight. Setting raw material cost clauses in long-term contracts with overseas clients becomes more complex. If fixed prices are used, they bear the risk of profit erosion from oil price increases; if floating prices are used, disputes may arise due to differences in pricing periods. Some leading trading companies have begun to introduce oil price linkage clauses in contracts, using an average price range as the pricing benchmark, but this requires trust and data transparency between upstream and downstream parties.
Practical Recommendations
Facing high oil price volatility, textile companies cannot change the external environment but can adjust internal response mechanisms. The core idea is to shift from "predicting oil prices" to "managing volatility risk."