Who Makes Money During Price Increase Cycles? It's Not by Raising Prices, but by Locking in Prices Early

In the second half of 2010, cotton prices skyrocketed. The entire textile industry was in distress—midstream processing plants saw margins squeezed, and downstream brands complained bitterly. But one company's data stood out starkly: Sourcet's comprehensive gross margin rose from 24.1% in 2007 to 33.9% in 2009 (according to Sourcet's publicly disclosed data in 2012). The more expensive cotton became, the more it earned.

How did they do it? The answer doesn't lie in price increases—although at the spring/summer 2011 ordering conference, they did raise selling prices by about 10%. The real killer move was hidden upstream in the supply chain: the company centrally procured about 80% of its raw materials and locked in at least three months' worth of raw material inventory through prepayments. Early in 2010, before cotton prices took off, Sourcet had already completed procurement for spring/summer 2011 raw materials. Its per-unit comprehensive cost was 15% to 20% lower than its peers.

This case reveals a truth repeatedly obscured in the narrative of price increases: during a price increase cycle, the decisive moment for profit distribution is not when the consumer pays, but when the company places a prepayment, signs a forward contract, or sets up an options position. Whoever can 'race ahead' in time turns their competitor's costs into their own profits. Meanwhile, most fabric companies—especially small and medium factories that rely on spot market purchases at prevailing prices—are still focused on how many percentage points they can raise their own product prices, unaware that the real profit drain is happening where they can't see it.

This article is about that judgment: In a raw material price increase cycle, profit is not made by enduring, but by locking in early.

The Hidden Profit Channel Masked by the 'Price Hike' Narrative

When industry media report on price increase cycles, they almost always follow a fixed narrative: raw materials rise → fabric factories face cost pressure → costs pass downstream → final product prices rise → consumers pay. This chain is logically correct, but it completely misses a key variable—time.

A price increase is not an instantaneous event. When cotton rose from 13,250 yuan/ton to 16,264 yuan/ton (industry data, 2020-2024, compound annual growth rate 5.3%), there were long periods of fluctuation and repetition. During this process, the procurement decisions made by different companies at different points in time create cost differences far beyond what any price increase strategy can compensate for.

The Sourcet case is the best proof. Its per-unit cost was 15-20% lower than peers. This advantage did not come from production savings—fabric and accessory costs account for more than 50% of total costs, mainly composed of cotton yarn, knitted fabric, and woven fabric. No amount of processing optimization could squeeze out 15 percentage points of cost space. That 15-20% gap came purely from the timing of procurement. It locked prices three months early, using the time difference to turn competitors' costs into its own profits. Meanwhile, competitors who purchased at prevailing prices three months later ended up paying for every meter of fabric for Sourcet's foresight.

More subtly, this time arbitrage operation does not violate any business rules. Using prepayments to lock in forward raw material prices is a perfectly normal procurement model. But in a price increase cycle, a routine operation becomes a lethal weapon—because the price gap between the spot price and the price locked three months earlier is automatically created without anyone making a mistake. You did nothing wrong; you were just a step late in procurement, and your cost is 15% higher than your competitor's. That profit wasn't given away by you—it was taken from you by the time difference.

Cotton from 13,250 to 16,264—The True Slope of the Price Increase Cycle

To explain why the time difference matters, we first need to see the true slope of this price increase cycle.

From 2020 to 2024, domestic cotton prices rose from 13,250 yuan per ton to 16,264 yuan per ton, a cumulative increase of 22.7% over four years (industry data). In 2024, China's total cotton output was 6.052 million tons, up 3% year-on-year. Xinjiang accounted for 5.72 million tons, up 3.8%, representing 94.5% of national output. Output is increasing while prices are rising—indicating both demand and cost-side momentum.

Polyester is also restless. As of October 2024, polyester staple fiber capacity reached 9.88 million tons, up 2.6% from the end of the previous year. From January to October, output was 6.57 million tons, up 12.0% year-on-year. Apparent consumption during the same period was 5.58 million tons, up 13% year-on-year. On the surface, supply and demand are both strong, but the story on price is different—polyester staple fiber prices rose first and then fell, with the spread widening quarter by quarter compared to the beginning of the year. As of the end of May 2025, impacted by international oil prices breaking $100/barrel, polyester staple fiber prices rose more than 20% year-on-year (industry monitoring data).

The combined effect of these two forces: cotton spinning companies gained incremental orders in the short term, and low-cost inventory translated into profit elasticity—but this 'elasticity' only belongs to those who held inventory before the price increase. For factories forced to replenish at high prices, the same market meant selling the same yarn at the same price, but raw material costs were more than ten percent higher, wiping out profits.

A procurement supervisor at a medium-sized knitting factory in the Yangtze River Delta told me a straightforward calculation: 'The yarn ordered three months ago versus yarn bought on the spot today—the difference is about 800 to 1,000 yuan per ton. One circular knitting machine consumes five tons of yarn per month. Three machines means 15 tons. Locking in one month late means losing 12,000 yuan. This isn't a technical issue; it's about who moves faster.'

In this same cycle, cotton yarn 32S prices rose about 3.9% year-on-year. The increase looks moderate, but when combined with the more than 20% rise in polyester staple fiber, the raw material cost structure of blended fabrics—the category most widely used in sportswear, casual wear, and workwear—has undergone a structural shift. Companies that adjusted their polyester/cotton ratio before the price increase and those still using last quarter's formula are now facing fabric cost gaps that start at ten percentage points, not just a few points.

Options: Turning Raw Material Price Volatility into a Profit Source

If prepayment price locking is 'buying time in advance,' then the introduction of financial instruments changes the game entirely—it turns price volatility itself into a harvestable asset.

Consider a real case. On January 20, 2021, a cotton spinning company sold a CF105-P-14000 (cotton put option) at a transaction price of 200 yuan/ton, receiving a premium of 100,000 yuan. On February 5, it bought a CF105-C-15800 (cotton call option) at a transaction price of 320 yuan/ton, paying a premium of 160,000 yuan. By April 8, when spot procurement took place, the cotton spot price was 15,372 yuan/ton, and the company completed spot procurement at that price. Meanwhile, the put option position was closed at 35 yuan/ton, yielding a profit of 82,500 yuan; the call option was closed in three batches at an average transaction price of 802 yuan/ton, yielding a profit of 241,000 yuan. Calculating the net premium flows: 200 - 35 + 85 + 802 - 320 = 732 yuan/ton in option gains. On the spot side, the reference procurement price on January 20 was 15,316 yuan/ton, while the actual procurement price on April 8 was 15,372 yuan/ton—a spot loss of 56 yuan/ton. Netting these out: 732 - 56 = 676 yuan/ton net profit (based on a public case study by Founder CIFCO Futures, 2021).

What does this mean? The company actually purchased 500 tons of cotton, spending 7.686 million yuan. Under a market-following approach, it should have lost 56 yuan/ton on the spot side due to the price increase. But the options combination not only covered that 56 yuan loss but also generated an extra 676 yuan/ton. Total net gain: 676 × 500 = 338,000 yuan—not earned from products, but 'picked up' from raw material price fluctuations.

Note the elegance of this operation: the company was not 'betting' on whether cotton would go up or down. By holding both put and call options, it was essentially using the premium spread to 'lock in' a range for raw material costs. Whether cotton rises or falls, as long as the volatility is large enough, the company gets compensation from the options gains. When prices rise, call option gains cover spot losses; when prices fall, put option gains reduce procurement costs. Raw material price volatility is no longer a risk to be passively endured, but an actively managed target with a defined profit expectation.

The question is: how many fabric factories are doing this?

Spot fabric traders in Keqiao, medium-sized weaving mills in Shengze, and wholesale suppliers in Zhongda fabric markets—these are the companies that form the capillaries of China's fabric industry. The vast majority of them know options only by hearsay. Their way of dealing with price increases is to hoard physical inventory—buying a few extra tons of yarn or a few extra rolls of fabric when they catch wind of a price rise. This works in a moderate uptrend, but in a volatile market—like the sharp rise in polyester staple fiber in May 2025 driven by crude oil hitting $100/barrel—hoarding exposes its flaws: you don't know how high prices will go or how long they will last. Hoard too much and you risk being stuck with inventory; hoard too little and you risk running out.

Options solve this 'not knowing.' You don't need to predict direction; you just need to quantify the volatility, price the risk, and buy it off with a premium. The rest is about focusing on making fabric and products—without having to stare at the Zhengzhou Cotton futures K-line chart every day.

Sourcet's 'Product Mix Fine-Tuning': The Most Underestimated Profit Lever in a Price Increase Cycle

Price locking and options are about 'protecting the cost floor,' but what really lifts the profit margin during a price increase cycle is often an overlooked action: adjusting the fiber blend ratio in the product mix.

In Sourcet's 2010-2011 operations, one detail is easily overshadowed by the glamour of 'prepayment price locking': after the cotton rally in the second half of 2010, the company planned to 'slightly increase the proportion of polyester, which had risen less' in its fall/winter 2011 garments. Translated into fabric industry jargon: in the blended formula, increase the polyester ratio by a few points and decrease the cotton ratio by a few points.

How much profit leverage does this have? Let's do the math. Suppose a T-shirt fabric originally used a 65% cotton / 35% polyester CVC blend. In the second half of 2010, cotton prices rose far more than polyester—cotton went from an average of about 15,000–16,000 yuan/ton in the first half to over 30,000 yuan/ton at its peak in the second half (historical data), while polyester staple fiber rose more moderately. Under this price structure, adjusting the formula from CVC 65/35 to 60/40 or even 55/45 would have almost no perceptible effect on fabric hand feel or appearance—consumers at the garment end would never notice—but the raw material cost per kilogram of fabric would drop by several percentage points. A few points multiplied by an order quantity of hundreds of thousands of pieces per season equals a substantial profit increment.

More importantly, this kind of adjustment does not require redeveloping the fabric, re-submitting samples, or explaining to customers—it's just a parameter change on the production line. Reduce the cotton yarn order quantity a bit, increase the polyester filament order quantity a bit. Dyeing process unchanged, setting process unchanged, finishing unchanged. The fabric inspection report at the factory gate—weight, strength, colorfastness, shrinkage—all within standard range. The garment the consumer receives feels almost identical to last season's.

This is the 'invisibility' advantage of fiber ratio adjustment: unlike a price hike that faces market pushback, or a reduction in fabric weight that can be caught by inspection agencies, this is a micro-shift within the allowable tolerance of the fabric composition label, moving toward the fiber that costs less and has risen more slowly. For fabric companies that mainly produce blended fabrics, this is the most underestimated profit tool in a price increase cycle.

But this tool has a prerequisite: you need to know in advance which direction the price scissors will move. When Sourcet made the decision to 'increase the polyester ratio' in the second half of 2010, it was based on the observed widening price gap between cotton and polyester. If they had waited until spring/summer 2011 to adjust, cotton would have already been at a phase high, polyester would have partly followed, and the arbitrage window would have been mostly closed.

Once again, the time difference determines the size of the profit margin.

'Cash in Hand' Is Worth More Than 'Fabric in Stock'—Why Prepayment Price Locking Reduces Costs

At this point, someone might ask: prepayment price locking sounds like just paying early to lock a price—how can it reduce costs by 15-20%? There is an underestimated business logic behind it.

In the fabric supply chain, yarn mills and weaving mills are not short of orders—they are short of cash flow. The weaving sector is capital-intensive, high-turnover, low-margin. A hundred or two looms, a few dozen workers, and monthly electricity bills alone run into hundreds of thousands—cash flow dries up and the machines become scrap metal. So when yarn mills deal with large customers, they are willing to offer a substantial discount for 'paying three months in advance.' This discount is not written on the quotation sheet; it is negotiated at the table.

Sourcet used a 'commission processing' model, keeping its capital free from garment factories, and centrally procured 80% of its raw materials. This meant it could dump a large amount of cash into the yarn mill's hands at once, in exchange for two things: first, locking in the price; second, locking in capacity. The latter is actually more valuable than the former during peak season—from November to January the following year, dyeing mill lead times double, yarn mill schedules fill up, and even with money you might not get the goods. But if you are the customer who prepaid a deposit in September, your yarn is already waiting for you in the warehouse.

This 'early payment' ability also has a hidden leverage effect: it lets you skip middlemen. Small and medium fabric factories usually buy yarn from traders—because your order volume is small and your payment cycle is long, yarn mills don't want to deal directly with you. Traders typically add 5-10% margin. But if you can prepay for dozens of tons of yarn at once, you can go directly to the yarn mill and negotiate direct supply—not only saving the intermediate markup but also getting a lower ex-factory price than the traders. In and out, that's a 5-10 percentage point cost advantage. Add the timing difference from early locking, and 15-20% is not an exaggeration—it's a number you can calculate.

And where does the cash come from? From profit accumulation, from operational efficiency, from financial discipline. This is precisely what small factories lack most. The profits they earn are either tied up in inventory, stretched by payment terms, or invested in areas unrelated to their core business. When a price increase cycle arrives, they have no cash on hand, so they have to buy high-priced yarn on credit, source expensive goods from traders—and then complain that market conditions are bad and margins are too thin.

Hedging Is Not 'Speculation'—It's Buying Insurance for Profit—But Cognitive Barriers Stand in the Way

Very few fabric companies actually do options hedging. Not because there is no demand—the risk of raw material price fluctuations is real on the books. It's because two cognitive misalignments stand in the way.

The first misalignment: equating hedging with speculation. Many bosses hear the word 'options' and immediately think of 'futures trading'—gambling, not hedging. But the cotton options case analyzed earlier makes it clear: a true hedging strategy is two-sided, not betting on direction, only locking in volatility. Selling put options is to receive premium income to reduce procurement costs, while simultaneously buying call options to hedge against upward price risk. Combined, the company's maximum loss is the net premium difference—a controllable 'insurance premium' whose amount is known in advance. Using a premium to lock in the price volatility risk of hundreds of tons of raw materials—that's not speculation; it's the most rational risk management.

The second misalignment: believing 'small companies don't need hedging; only big companies do.' The opposite is true. Small companies need hedging the most. Large companies have large procurement volumes, strong bargaining power, and can get big discounts from prepayment price locking, allowing them to absorb a significant portion of price increase pressure. Moreover, large companies have more room to adjust product prices—their brand equity means end consumers are less sensitive to price hikes. But small companies? Using ten tons of yarn per month, with no bargaining power and no pricing power—if raw materials rise 10%, profits may be wiped out. This fragility is precisely what needs to be hedged with financial tools.

But the reality is that small and medium fabric traders in Keqiao, Shengze, and Zhongda rarely even sign the simplest forward price-locking contracts—they are used to the 'cash on delivery' spot model. This model works fine in a stable market, but in a price increase cycle it becomes a deadly exposure: every replenishment is a blind box; the price quoted today may be several points different from tomorrow's. The customers you won through fabric quality and service may turn to competitors who locked prices early, after just one batch's price increase.

This is not alarmist. In the 2021 cotton options hedging case, companies that did not hedge earned 260 yuan/ton on cotton, while those that hedged earned 295.4 yuan/ton or more. Over a procurement season of a few hundred tons, the gap is tens of thousands to hundreds of thousands of yuan. For a small factory with an annual profit of a few hundred thousand yuan, that's the difference between thriving and surviving.

Under the Polyester Surge—The Profit Logic of Blended Ratios Needs Recalculation

When Sourcet increased the polyester ratio in 2010-2011, the background was 'cotton expensive, polyester cheap.' But the price structure in 2024-2025 has changed.

Cotton yarn 32S prices rose about 3.9% year-on-year, while polyester staple fiber prices rose more than 20% year-on-year (industry monitoring data, as of end of May 2025). Cotton went up, but polyester went up even more. Under this new price structure, the old trick of 'increasing the polyester ratio to reduce cost' no longer works—adding more polyester to the blend may actually increase costs.

What does this mean? It means that product mix adjustment during a price increase cycle is not a fixed formula; it's an optimization problem that needs dynamic recalculation. Before each ordering season, companies need to re-analyze the price trends and spreads of cotton, polyester, nylon, viscose, and spandex, then decide the direction of blend ratio adjustment. This season might be 'reduce polyester, increase viscose'—when viscose fiber prices are relatively stable, using viscose to replace some polyester to control costs. Next season might be 'reduce cotton, increase lyocell'—if the price advantage of lyocell is large enough.

This is not theoretical. A medium-sized weaving mill in the Yangtze River Delta that makes sportswear fabrics told me that for the spring/summer 2025 development, they were already considering partially replacing cotton with lyocell—not because lyocell is better than cotton (each has pros and cons), but because under the current price spread structure, the total cost of a lyocell/cotton blend is more competitive than CVC (cotton/polyester). More importantly, lyocell has better hand feel and luster than polyester, and can be sold as an upgrade feature on the product side—'cost optimization' and 'quality upgrade' are for the first time moving in the same direction.

This is the ideal profit strategy in a price increase cycle: not struggling to bear cost pressure on existing products, but using the change in price scissors to drive product structure migration toward the intersection of 'lower cost + better quality.' This migration requires two conditions: first, advance anticipation of price trends for different fibers; second, sufficient technical capability to quickly complete new formula sampling and mass production conversion. The first condition tests the procurement team's information ability; the second tests the R&D team's execution. Neither can be built overnight.

Triple Cost Pressure—Exchange Rates, Freight, and Raw Materials in a Three-Pronged Attack

Price locking and options only solve the raw material side. But at this point in 2025-2026, fabric export companies face triple cost pressures simultaneously.

On May 28, 2026, both onshore and offshore RMB exchange rates against the US dollar broke through the 6.78 level, hitting a new high since February 2023. RMB appreciation directly increases exchange loss—an export order from signing to receipt of payment takes two months, and a 2-3% exchange rate fluctuation can eat up a large chunk of profit. Meanwhile, the Shanghai Shipping Exchange's US West Coast route index rose about 18% from the beginning of the year (industry monitoring data). High freight costs combined with exchange rate appreciation put export-oriented companies under pressure from both sides.

Then there are raw materials: cotton yarn 32S up 3.9% year-on-year, polyester staple fiber up more than 20% year-on-year. But the most deadly factor is the slowing global economy dragged down by the Middle East conflict—the United Nations predicts that global economic growth in 2026 will fall from 2.7% to 2.5%, the lowest since the COVID-19 pandemic. Weak end-consumer demand means the room for fabric companies to raise prices is squeezed to the limit. In May, the US Conference Board Consumer Confidence Index fell to 93.1, and the University of Michigan Consumer Sentiment Index final reading dropped to a historic low of 44.8. Downstream apparel brands are under pressure themselves—how can they accept price increase requests from fabric suppliers?

Thus emerges a classic squeeze: the cost side is rising on three fronts (raw materials + exchange rates + freight), while selling prices are stuck. Profit margins are squeezed from both sides. This is the most direct real-world footnote to the statement 'profits are not made by enduring'—when costs are rising across the board and selling prices cannot keep pace, 'enduring' is just waiting to die. The only way out is to work on the source of costs: lock prices early, optimize formulas, hedge with financial tools—not trying to digest costs after they have already occurred, but locking them within a controllable range before they happen.

Profit Strategy Tiers: From 'Buying Cheap' to 'Buying Right'

Looking at the operations we've broken down, fabric companies' profit strategies during price increase cycles actually fall into three tiers.

Tier 1: Buy cheap. This is the most basic operation. Prepayment locking of forward prices, directly connecting with yarn mills to skip middlemen, going long in futures to lock future raw material costs—all of these aim to make the cost of every kilogram of yarn or meter of fabric lower than the spot market. The core capability at this tier is financial strength and supply chain relationships—how much cash do you have to prepay, and how good are your relationships with yarn mills to get the best discounts.

Tier 2: Buy right. This is more advanced than 'cheap'—it's not just about pursuing low prices, but about buying the right fiber variety at the right time. Sourcet hoarding cotton before the surge, then increasing the polyester ratio when cotton was expensive and polyester cheap—that's 'buying right.' The core capability at this tier is information analysis and trend judgment—can you predict three months in advance which way the cotton-polyester price spread will move? This requires not just industry experience, but a basic understanding of global commodities, exchange rates, and geopolitics.

Tier 3: Turn volatility into profit. Only very few companies are operating at this tier today. Through options combinations, hedging, and other financial instruments, they do not passively endure raw material price volatility, but actively generate gains from it. This is not a 'cost reduction' mindset, but a 'profit creation' mindset—transforming raw material price risk from a purely negative risk factor into a manageable asset that can produce positive returns. The core capability at this tier is financial knowledge and risk management awareness—your CFO can't just keep books and reconcile accounts; they also need to understand derivatives pricing and risk exposure management.

These three tiers are not mutually exclusive; they are progressive and additive. Tier 1 lays the foundation, ensuring basic cost advantage. Tier 2 optimizes by configuring the right raw material structure at the right time. Tier 3 arbitrages by converting the remaining price volatility risk into additional gains. Most fabric companies haven't even done Tier 1 well—they still buy on the spot market, following the tide. A few have achieved Tier 1, very few have touched Tier 2, and players at Tier 3 may account for less than one in a thousand in the entire Chinese fabric industry.

But a price increase cycle won't wait for you to be ready. The triple cost pressure of 2026 is already knocking at the door. The exchange rate is rising, freight is rising, raw materials are surging—companies that are still debating 'whether to hedge' at this point have already lost to those who positioned their positions back in 2025.

The Hidden Path of Profit Transfer—The Truth of the Game in a Price Increase Cycle

Back to the counter-intuitive fact at the beginning of the article: why did some companies' gross margins jump from 24% to 34% in a year when cotton was booming?

Because the path of profit transfer in a price increase cycle is opposite to what most people intuitively understand. The common perception is: raw material prices rise → fabric factory costs increase → fabric factory raises prices → profit is redistributed at the terminal. But the real path is: before raw material prices rise → companies with funds lock prices early → after the increase starts → the cost of price-locking companies is fixed at pre-increase levels → the cost of non-locking companies follows the spot market upward → price-locking companies raise terminal prices by 10% (market-wide price increase makes this completely reasonable) → the profit margin of price-locking companies = price increase gains + competitor cost disadvantage = a surge in gross margin.

In other words, the ten percentage points by which Sourcet's gross margin rose from 24% to 34% came partly from revenue growth from terminal price increases, and partly from the cost advantage of early price locking. Combined, they produced a leverage effect that caused a profit rate jump. Meanwhile, companies that did not lock prices early saw their price increases almost entirely eaten up by raw material rises, leaving their gross margin flat or declining.

Same market, same wave of price increases, same change in terminal selling prices—but the profit gap between companies is pulled apart in the dark corners of the supply chain. Consumers see clothes 10% more expensive; industry insiders see cotton going from 15,000 to 30,000. But very few people see that a batch of companies had already bought half a year's worth of raw materials at 15,000, while another batch replenishes every month at the spot price of 30,000. The former's real cost is still at 15,000; the latter's real cost has skyrocketed to 30,000. The gap between them is a full doubling.

That is the hardest support for the statement 'profits are not made by enduring, but by locking in early.' It's not a metaphor or rhetoric—it's a real cost difference that actually happens.

How Should Fabric Companies Act?

At this point, if we keep repeating 'early price locking is important,' that's just correct but useless. How to act needs to be specified by company type with actionable steps.

For medium-sized weaving mills with annual revenue between 50 million and 200 million yuan: Your scale is big enough to negotiate direct supply with yarn mills, but small enough that you can't afford a single sharp raw material price spike. You should do three things. First, extend your procurement cycle from 'buy as needed' to 'lock main raw materials one quarter in advance.' You don't need to lock 100%—lock 60-70% of expected usage, leaving 30-40% flexibility for order fluctuations. Second, establish prepayment framework agreements with at least two yarn mills: agree to prepay a certain amount at the beginning of each quarter to lock the quarter's price benchmark, so even if spot prices fluctuate, your batch is executed at the agreed price. Third, develop at least one financial staff member who understands the basics of futures and options—not necessarily an expert, but able to read Zhengzhou Cotton and PTA futures trend reports, understand basis, contango/backwardation, and premium concepts. For specific operations, you can initially cooperate with the industrial client department of futures companies—their researchers understand cotton, polyester, and the downstream industry chain and can help design plans.

For small processing factories with annual revenue below 30 million yuan: You don't have the financial strength for prepayments or the scale to negotiate direct supply with yarn mills, but you can still do several things. First, pay attention to what the leading companies in your industrial cluster are buying—if the big players in Keqiao start hoarding cotton, it indicates a bullish outlook; you can follow the rhythm and appropriately stock an extra two weeks of inventory; when the big players start destocking, you follow too. Second, negotiate a 'price guarantee' with your yarn trader—even if the price is slightly higher than spot, it can lock in the supply price for the next month. One month's time difference may help you avoid a sharp rally. Third, make small-step adjustments in your product structure—if you mainly produce polyester-cotton blends, learn to make decisions based on the polyester-cotton price spread ratio. When polyester rises faster than cotton, appropriately reduce the polyester ratio; when cotton rises faster, tilt toward polyester. This kind of fine-tuning does not require re-sampling and approval; minor process parameter adjustments are sufficient.

For companies doing export orders: In addition to raw material price locking, you also need to handle exchange rate exposure. In May 2026, the RMB broke above 6.78. The exchange rate fluctuation of 2-3% between order signing and receipt of payment can wipe out all profits. The treatment is not complicated: sign a forward settlement agreement with your bank. Lock in the settlement exchange rate for two months at the time of signing, directly hedging this 2-3% risk. The cost is very low—the bank's forward settlement quote is only a few basis points off the spot rate. Compared with the 2-3% profit you might lose, this cost is negligible.

Real Differentiation Is Not by Factory Scale, But in the Dark Corners of the Supply Chain

Throughout writing this article, I kept thinking about one question: why do so few people actually do something as simple and straightforward as 'early price locking'?

Not because companies don't know how to lock—anyone can sign a forward contract. It's because price locking requires two scarce resources: cash and judgment. Companies with tight cash flow have every yuan turning over; they cannot afford to park hundreds of thousands in a yarn mill's account three months in advance. Companies lacking judgment about price trends dare not lock—they fear that prices might fall after they lock, turning a lock at a high point into a loss.

So what truly widens the gap between companies during a price increase cycle is not the price increase itself, but the resources accumulated before it—financial strength, supply chain control, information analysis capabilities. These things don't show gaps in a stable year—everyone buys at market prices, costs