Cosmetics Exports Up 57.5% Against a Month That Fell

What signal is this?

In the October trade figures compiled and released by Korea's trade ministry on 1 November, cosmetics recorded USD 1.444 billion. The 57.5% year-on-year increase is the year's highest growth rate, and trade press reported it as the strongest in three years. Cumulative exports for January to October stand at USD 12.569 billion.

The cumulative figure is the clearer record. Annual exports for 2025 were USD 11.418 billion, so this year passed the whole of last year within ten months, by USD 1.151 billion or 10.1%. Against USD 9.41 billion over the same ten months last year, the increase is USD 3.159 billion, a cumulative growth rate of 33.6%. Growth was reported across five continents — led by the United States, with China, the EU, ASEAN, Latin America, the Middle East and the CIS all rising. On a third-quarter cumulative basis, exports reached USD 11.1 billion with the U.S. share passing 21%.

But 57.5% and 33.6% are not two cuts of the same phenomenon. The first compares one month with the same month a year earlier; the second compares ten months with the same ten months a year earlier. The 24.0 percentage-point gap between them sits in the denominator, not the numerator. October 2025, the month used for comparison, was one in which cosmetics exports fell 10.6% to USD 923 million. It was the first decline in nine months.

That decline came with an explanation attached at the time. Fewer working days around the Chuseok holiday, and the payback from shipments pushed out heavily before U.S. tariffs rose, were cited as the causes. The United States applied a 15% reciprocal tariff to cosmetics from 7 August, and with the de minimis exemption abolished, duties applied to international postal shipments from 29 August. In other words, this year's 57.5% includes the portion by which last October was pressed below its normal level.

A note on how far to read this. Every amount and growth rate here follows trade-press reporting of the ministry's monthly trade figures, and monthly tallies are published as provisional numbers and later revised. In fact, the announced growth rate is 57.5%, while calculating directly from the reported prior-year month (USD 923 million) gives roughly 56%. The gap of a little over one percentage point appears to be the difference between provisional and revised tallies, and this article uses the announced rate as published. The cosmetics figure in the trade release is also a customs-declared amount, not the same number as local sales or consumer demand, and country-level detail varies by compiling body. The year-end USD 15 billion figure carried by several outlets is likewise an estimate applying the cumulative growth rate to the remaining two months, not a published result.

1. 57.5% and 33.6% answer different questions

The two numbers answer different questions. 57.5% answers "how much more is going out now than at this point last year", while 33.6% answers "how much bigger is this year as a whole than last year as a whole". What is needed when setting order quantities or adding a line is the second, because production runs on quarters and years rather than months.

The distinction matters because the number later moves in the opposite direction too. October this year printed at USD 1.444 billion, so next October will show 0% growth on the same volume shipped. This year's good month becomes next year's high denominator. Exactly the same mechanism that makes this year look like 57.5% — because last October was pressed down — happens in reverse a year later.

So monthly growth rates are more accurately used to detect anomalies than to set trend. When a month's rate spikes or breaks, read it as a prompt to ask what happened that month, and read the level of demand from cumulative figures or a trailing twelve-month total. Just as last October's minus 10.6% was not falling demand but working days and shipment payback, monthly numbers are easily shaken by the calendar and by shipping timing.

On the brand side this comes down to one practical point: which number is offered as the basis when quantities are negotiated with a manufacturer. A quantity table built on the premise that "the market is growing 57.5%" is hard to use as an inventory plan.

• Whether the growth rate used for quantities is recorded as monthly or cumulative
• Whether the plan accounts for next year's denominator rising
• Whether sharp moves in monthly rates are treated as events to check, not as trend
• Whether the level of demand is tracked separately on a cumulative or trailing-twelve-month basis

2. The comparison month has payback mixed into it

The two reported causes of last October's decline are different in kind. Working days around Chuseok are a calendar variable whose date moves every year; pulling shipments forward ahead of a tariff increase is a one-off event. The first distorts the figures again next year; the second does not repeat.

Separating them changes how each is used in planning. For a month with a national holiday in it, checking and adjusting for working days each year is enough. A one-off such as pre-tariff front-loading, by contrast, inflates the following year's growth rate once the payback disappears. This year's October 57.5% sits in exactly that inflated position.

What deserves attention here is not only that the front-loading happened last year. It is worth also considering that the shipping rhythm itself changed after the U.S. tariffs took effect. Tariffs and the end of the de minimis exemption alter the cost structure of small, frequent shipments, so the same demand can mean a different volume per shipment and a different number of shipments. Monthly customs-declared amounts carry that change too.

The check a brand can run is simple: look in its own records for whether U.S.-bound shipments were brought forward last summer relative to normal, and whether volume per shipment has risen since. Rather than chasing the distortion in the aggregate statistics, seeing where your own rhythm shifted tells you which months' numbers you can take at face value.

• Whether the comparison month carries a holiday or working-day variable
• Whether one-off shipment pull-forwards and recurring calendar variables are recorded separately
• Whether volume per shipment and shipment frequency changed after tariffs, checked in your own records
• Whether customs-declared amounts are being used interchangeably with local sales

3. Measured against two years ago, it is around 18% a year

One way around the base effect is to compare with the same month two years earlier. October 2024 cosmetics exports were USD 1.037 billion, reported at the time as up 36% and the first month above a billion dollars. October 2025 then came in at USD 923 million, and this October at USD 1.444 billion.

A simple calculation on those three published figures gives roughly 39% growth over two years, or around 18% a year. That 18% is not a figure announced by any institution but a division of published monthly amounts, and should be read only as that. What is clear, though, is that 57.5% and 18% are two expressions of the same market.

Lining the three up also shows the shape of the trend. October 2024 passed a billion dollars for the first time, October 2025 settled back into the 900-million range, and this October moved up past 1.4 billion. On a one-year view it broke and then jumped; on a two-year view it is a line climbing steadily. The question is not which is correct but which one you choose as the basis for planning.

For a premise used in manufacturing orders, the longer view is safer. Raising quantity to lower unit cost pays off only if the extra units sell; if they do not, it returns as inventory and shelf-life problems. A quantity table built on 18% a year and one built on 57% a year leave entirely different stock behind two years later.

• Whether the same month has also been compared with two years earlier
• Whether announced rates and your own calculations are labelled separately
• Whether the growth rate used to justify a larger, cheaper run is written down
• Whether the stock left over if that rate is wrong has been quantified

4. Set quantity by growth rate and shelf life arrives first

The first decision that moves on news of rising exports is order quantity. Making more of the same formula lowers the unit cost, and container pricing also improves with volume. The problem is that this calculation contains no time.

Finished products have a shelf life, and distribution often requires a minimum remaining life before a listing or a shipment is possible. So the number needed for a quantity decision is not "how many will we make" but "how many go out per month". If the order divided by monthly shipments gives more months than the remaining shelf life allows, the saving won on unit cost is offset by disposal.

The same calculation attaches on the raw material side. Raw materials can have more demanding storage conditions than finished goods, and a shelf life of their own. Scaling up finished-product volume means securing materials in advance, and if those materials expire before use, the point of loss simply moves to the factory rather than disappearing.

So before converting a high growth rate into quantity, three numbers are worth writing down: average monthly shipments, the product's shelf life, and the remaining life the retailer requires. With those three, the maximum quantity for a single run falls out as a calculation, and unit-cost negotiation can proceed on top of it. Done in the reverse order, the unit cost improves and the stock remains.

• Whether average monthly shipments are recorded per item
• Whether product shelf life and the retailer's remaining-life requirement were both checked
• Whether the order quantity has been converted into months of cover
• Whether the shelf life of raw materials secured in advance is in the calculation

5. Growth across five continents is not a cue to add items

What stands out in this release is that the growth was not concentrated in one market. It was reported across five continents — led by the United States, with China, the EU, ASEAN, Latin America, the Middle East and the CIS all rising. Export diversification, confirmed in figures.

Read that signal as "we can enter several markets at once", however, and development costs rise. As markets multiply, what diverges first is not the formula but labelling and notification. Even for the same formula, prohibited and restricted ingredient lists differ by market, as do labelling language and required items, responsible-person requirements and prior notification procedures. Paperwork grows by the number of items multiplied by the number of markets.

The practical order is to first decide which group of markets one formula can serve. Checking where key ingredients are caught, and splitting markets into "reachable with this formula" and "requires reformulation", sets the first-wave market scope. Done before the formula is locked, one formula can cover several markets; done afterwards, the formula splits market by market.

Quantity groups the same way. Where the formula is shared, bulk can be made in one run and only containers and labelling split by market, which makes minimum quantities reachable even when each market's volume is small. Where the formula splits, each market has to clear its own minimum. This is the point at which five-continent growth works in your favour, and the condition is grouping the formula first.

• Whether key ingredients were checked against each target market's prohibited and restricted lists
• Whether markets are split into reachable-as-is and requiring reformulation
• Whether labelling language, required items and local responsible-person requirements are recorded per market
• Whether a shared-bulk, split-container structure was considered

The first question for the brief

Instead of writing "exports are rising, so raise the quantity", change one line: was the growth rate used for this quantity the monthly 57.5% or the cumulative 33.6%? Simply recording which of the two published figures you used makes it possible, a year from now, to work out why the plan was wrong.

The second thing to write is months. Divide the order quantity by average monthly shipments, record the months of cover, and place that number beside the product's shelf life and the retailer's remaining-life requirement. Unit cost comes from quantity, but losses come from dates.

The last is the market grouping. Under "which markets will we enter", add one more line: how far can we go without changing this formula? The cases where five-continent growth statistics reduce development cost are limited to brands that grouped the formula first.